Podcasts about Distributed computing

Your DNA, health data, and digital identity are encrypted, monetized, and weaponized against you. But what if there was a way to take it back… and hack the system? In this mind-expanding episode, Dave sits down with two elite hacker-founders—Michael Tiffany, CEO of Fulcra.ai, and Vishakh, founder of Monadic DNA—to explore a radical shift in the way we store, protect, and use our most personal data. Together, they break down the Web3 tech stack powering this revolution. Enter Nillion, a distributed, privacy-preserving compute network that allows you to share and analyze your encrypted data… without ever giving it away. From genomic privacy to AI sovereignty, this episode exposes the hidden architecture of control—and how to escape it. You'll learn how cutting-edge blockchain and cryptography are rewriting the rules of ownership, consent, and even identity itself. What You'll Learn in This Episode: • Why your DNA is already in government databases—and how long they keep it • How Nillion enables secure computation on private data • What it means to build a “cybernetic operating system” for your body • Why Fulcra.ai is building the orchestration layer of human optimization • How Monadic DNA helps you profit from your genetics—without giving them away • Why owning your data is the next frontier of biohacking • The surprising connection between decentralization, health freedom, and consciousness • How to join the movement toward true data sovereignty If you've ever felt like you're giving away too much to big tech, big pharma, or just the internet itself—this conversation will change how you see your data… and your body. **Join the Fulca sleep study today! Visit https://fulcra.ai/sleep to sign up** **Get a 30% discount on Fulca with code “DAVE”! SPONSORS -IGNITON | Go to https://www.biohackingconference.com/ and get your tickets while there are still great discounts available. Learn more at https://igniton.com/. -Calroy | Head to https://calroy.com/dave for an exclusive discount. Resources: • Dave Asprey's New Book - Heavily Meditated: https://daveasprey.com/heavily-meditated/ • Fulcra Dynamics Website – https://www.fulcradynamics.com/ • MonadicDNA Website: https://monadicdna.com/ • 2025 Biohacking Conference: https://biohackingconference.com/2025 • Danger Coffee: https://dangercoffee.com • Dave Asprey's Website: https://daveasprey.com • Dave Asprey's Linktree: https://linktr.ee/daveasprey • Upgrade Collective – Join The Human Upgrade Podcast Live: https://www.ourupgradecollective.com • Own an Upgrade Labs: https://ownanupgradelabs.com • Upgrade Labs: https://upgradelabs.com • 40 Years of Zen – Neurofeedback Training for Advanced Cognitive Enhancement: https://40yearsofzen.com Timestamps: • 00:00 – Trailer • 02:01 – Intro • 02:26 – Data Privacy & AI: The Big Shift • 03:21 – Meet Michael Tiffany • 04:41 – Cybernetic Operating Systems • 05:13 – Wearables & Personal Augmentation • 08:21 – Meet Vishakh: DNA Privacy Mission • 09:25 – Why Genetic Data Needs Protection • 11:30 – New Tech: Encryption & Privacy Tools • 16:13 – How Multi-Party Compute Works • 41:58 – Emergence: Behavior & Systems • 49:11 – Meditation & Mental Reprogramming • 50:20 – Distributed Computing & Biology • 56:15 – Environment Shapes Potential • 57:57 – Empowering Individuals at Scale • 01:00:31 – Biohacking Meets Inner Awareness • 01:04:01 – The Dark Side of DIY Mind Hacks • 01:06:09 – Future of Biohacking & Community• 01:12:28 – Integrating Genetic & Life Data • 01:20:39 – Why We Started Biohacking • 01:25:01 – Favorite Current Biohacks • 01:31:41 – Final Thoughts & Resources See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This episode is sponsored by Indeed.  Stop struggling to get your job post seen on other job sites. Indeed's Sponsored Jobs help you stand out and hire fast. With Sponsored Jobs your post jumps to the top of the page for your relevant candidates, so you can reach the people you want faster.   Get a $75 Sponsored Job Credit to boost your job's visibility! Claim your offer now: https://www.indeed.com/EYEONAI     Dominic Williams' Bold Vision for The Internet Computer (ICP) | The Future of Decentralized Computing   The internet is broken—can blockchain fix it? In this episode, Dominic Williams, the visionary behind The Internet Computer (ICP) and founder of DFINITY, reveals his plan to build a decentralized alternative to cloud computing. Discover how ICP is challenging Big Tech, replacing traditional IT infrastructure, and creating a tamper-proof, autonomous internet powered by smart contracts.   What You'll Learn in This Episode: Why Dominic Williams believes the current internet is flawed How ICP aims to replace centralized cloud providers like AWS & Google Cloud The role of smart contracts in making the internet more secure and censorship-resistant The mission of DFINITY and how it started in 2016 The future of Web3, decentralized applications (dApps), and blockchain governance   Don't miss this deep dive into the future of the internet! If you're interested in blockchain, decentralization, and the next evolution of the web, this episode is for you. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) The Origins of The Internet Computer   (02:57) Dominic Williams' Background in Tech   (04:28) Early Innovations in Distributed Computing   (07:08) The Birth of a 'World Computer' Concept   (11:22) Reimagining IT: A Decentralized Alternative   (13:45) The Creation of DFINITY and ICP   (16:29) How ICP Differs from Traditional Blockchains   (22:05) The Problem with Cloud-Based Blockchains   (25:35) How ICP Ensures True Decentralization   (29:25) AI & The Self-Writing Internet   (35:24) How ICP Hosts AI & Smart Contracts   (40:23) Understanding Reverse Gas and ICP's Economy   (45:03) The Vision: A Truly Decentralized Internet   (49:09) How To Use The Internet Computer   (52:01) The Role of Nodes & Incentives in ICP   (56:53) The Future of Web3 & Decentralized Applications   (01:05:49) The Misconception of ‘On-Chain' & Blockchain Hype   

On this episode of Crazy Wisdom, host Stewart Alsop is joined by Dr. David Ulrich Ziegler, an independent consultant specializing in the intersection of cyber and physical utility systems. The conversation spans a range of topics including the intricacies of power grids, the historical evolution of electrical systems, and the future of energy, touching on nuclear power, solar panels, and the emerging role of AI in managing these critical infrastructures. David shares insights into the resilience of systems, lessons from nature for system design, and the potential of decentralization versus centralized control. For more on David's work, you can find him on LinkedIn or connect via his Twitter handle @denersec.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:21 Understanding Cyber Physical Utility Systems01:52 Historical Context of Electrical Grids03:14 Alternating Current vs. Direct Current07:00 Home Electrical Systems and Safety10:11 Technological Leapfrogging and Starlink15:35 The Impact of Internet Connectivity on Society19:36 AI and the Future of Physical Systems21:20 The Evolution of SCADA Systems28:48 Nuclear Power and Decarbonization34:23 The Promise and Challenges of Small Modular Reactors36:33 Geopolitical Influences on Nuclear Power41:15 AI and the Electrification of Knowledge Work44:19 AI's Impact on Professional Workflows48:27 Connecting Data Centers to the Grid53:43 Resilience and Organic Computing in Power Systems01:03:10 The Future of Solar Panels and Energy Independence01:09:19 Concluding Thoughts and Future EpisodesKey InsightsThe Intersection of Cyber and Physical Utility Systems: Dr. David Ziegler emphasizes the importance of understanding the interconnectedness of cyber and physical systems in modern utilities. These systems, often referred to as cyber-physical systems, blend physical infrastructure, such as power grids, with advanced control and automation technologies. Historically, this integration has roots in SCADA systems, which were among the first examples of distributed computing, and remains crucial for ensuring resilience and operational efficiency in today's energy networks.The Historical Foundations of Electrical Systems: The episode highlights key moments in the evolution of electrical infrastructure, from the early debates between alternating current (AC) and direct current (DC) to the development of distributed control in power systems. Ziegler discusses how early technological decisions and innovations shaped the global grid, setting the stage for the modern challenges of integrating renewable energy and decentralized energy systems.The Promise and Challenges of Nuclear Energy: Ziegler provides a balanced perspective on nuclear power, acknowledging its potential as a low-carbon energy source but highlighting challenges such as high costs, public fear, and the complexities of large-scale projects. He notes the emerging interest in modular reactors, which aim to reduce costs and improve scalability, but stresses that their real-world impact is still to be proven.The Role of Renewable Energy and Storage: A major focus is on the rapid advancements in renewable energy, particularly solar power, and the associated need for effective storage solutions. Ziegler explains the dramatic drop in costs for lithium-ion batteries, making short-term energy storage more viable. However, he underscores the ongoing challenge of developing affordable long-term and seasonal storage technologies to support a 100% renewable energy system.Data Centers as Emerging Energy Consumers: The growing demand for electricity from data centers, especially those supporting AI technologies, is a significant trend discussed in the episode. Ziegler points out that data centers could consume up to 8-9% of total electricity in regions like Europe and the U.S. by 2030, driven by the energy-intensive nature of AI computations. This shift necessitates innovative approaches to grid connectivity and efficiency.Decentralization vs. Centralization in Grid Design: The debate over centralized versus decentralized energy systems is a recurring theme. Ziegler explains how historical constraints on communication bandwidth led to resilient, distributed architectures in power grids. He advocates for hybrid systems that balance centralized control with localized decision-making, drawing inspiration from biological systems like the human body for their adaptability and resilience.The Global Energy Transition and Geopolitical Risks: The episode explores the geopolitical dimensions of the energy transition, including dependencies on materials like lithium and solar panel production concentrated in regions like China. Ziegler argues that while local renewable energy generation reduces reliance on external energy sources, the global supply chain for components remains a vulnerability. He also emphasizes the need for greater resilience and strategic planning to navigate potential disruptions.

On today's show, we chat with Kal Walkden, the Vice President of Product Engineering at Double Good. Double Good's virtual fundraising app connects teams with their supporters to help athletes, coaches, and students raise funds through popcorn sales. Focusing on seamless ease-of-use for both the fundraisers and their supporters, Double Good turns online snack sales into “uniforms, safety pads, cleats, calculators, test tubes, travel opportunities, and brand new experiences.”Kal's extensive expertise in product and technology leadership has been vital in advancing Double Good's mission. He talks to Innovation and the Digital Enterprise about how Double Good's virtual platform flourished during the pandemic, a key pivot during a moment that challenged traditional in person fundraising. Kal explains the significance of user-centered design, and the adoption of the Spotify engineering model to enhance his team's efficiency. We talk hiring practices, core values, future growth strategies, and how Kal's 25+ years of hands-on leadership has successfully shaped tech-driven organizations.(00:25) Meet Kal Walkden: VP of Product Engineering at Double Good(01:13) Double Good's Journey and Success(06:09) The Spotify Engineering Model(13:51) Implementing the Spotify Model at Double Good(19:38) Challenges and Future GoalsKal Walkden is the Vice President of Product Engineering at Double Good. His past roles include Chief Technology Officer at Paladin; Head of Engineering at HelloFresh; CTO at Lextegrity; CTO at ForeverCar. He currently serves as a mentor at Code Platoon. He holds a Bachelors in Computer Engineering and a Masters in Parallel and Distributed Computing both from Northwestern University. If you'd like to receive new episodes as they're published, please subscribe to Innovation and the Digital Enterprise in Apple Podcasts, Spotify, or wherever you get your podcasts. If you enjoyed this episode, please consider leaving a review in Apple Podcasts. It really helps others find the show.Podcast episode production by Dante32.

Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week, Jensen Huang, CEO of NVIDIA, makes a guest appearance. In Bill's absence, Brad is joined by Clark Tang (Partner at Altimeter) as they discuss with Jensen scaling intelligence towards AGI, the acceleration of machine learning, NVIDIA's competitive advantages, the significance of inference alongside training, future market dynamics in the AI landscape, the impact of AI on various industries, the future of work, inference time reasoning, AI's potential to enhance productivity, the balance between open source and closed source, Elon's Memphis Supercluster, X.ai, OpenAI, the safe development of AI, & more. Enjoy another episode of BG2. Chapters (00:00) Introduction (1:50) The Evolution of AGI and Personal Assistants (06:03) NVIDIA's Competitive Moat (15:51 ) The Future of Inference and Training in AI (19:01) Building the AI Infrastructure (31:35) Inventing a New Market in an AI Future (38:40) The Impact of OpenAI (43:25) The Future of AI Models (46.44) X.ai and Memphis Supercluster (51:21) Distributed Computing and Inference Scaling (55:54) Inference Time Reasoning and Its Importance (01:00:46) AI's Role in Growing Business and Improving Productivity (01:08:00) Ensuring Safe AI Development (01:12:31) The Balance of Open Source and Closed Source AI #jensenhuang #nvidia #bradgerstner #billgurley #clarktang #xai #memphiscluster #elonmusk #noambrown #openai #gptstrawberry

In this episode of the Crazy Wisdom Podcast, Stewart Alsop welcomes John Hyde, founder of Turf, to discuss the fascinating intersection of decentralized technology and virtual worlds. John shares the origin story of Turf, a virtual world built on Urbit, and delves into his experiences as a developer navigating the unique challenges and opportunities that Urbit presents. The conversation also touches on topics such as the future of decentralized computing, the business potential of Turf, and even John's personal journey with Orthodox Christianity. For those interested in following John's work, you can find updates on Twitter at @turf_on_urbit, or join the Turf group on Urbit. Additionally, John hosts "Turf Time" every Thursday at 1 PM Pacific, where participants can engage in discussions and explore new features in Turf.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:37 What is Turf?02:19 John Hyde's Journey into Development03:37 Challenges and Frustrations with Hoon14:08 Orthodox Christianity and Mysticism19:01 Future of Urbit and Turf's Business Potential27:28 Guest Introduction and Initial Discussion27:53 Building a Marketplace in Brazil29:51 Challenges and Successes in Business31:09 User Statistics and Platform Growth33:28 The Philosophy of Social Networks35:12 The Future of Distributed Computing37:17 Generational Perspectives on Technology41:17 The Tech Scene in the Bay Area41:56 Funding and Business Costs47:30 Product Roadmap and Development48:29 Technical Aspects and Tools52:51 Closing Remarks and Contact InformationKey InsightsThe Origins of Turf: Turf is a virtual world built on Urbit, designed by John Hyde, who was inspired by the idea of creating a multiplayer game where users could program their own items. This evolved into Turf, a decentralized platform where users can create, customize, and explore virtual spaces, reflecting the ethos of the Urbit ecosystem.Urbit as a Decentralized Platform: Urbit is not just another computing platform; it represents a complete reimagining of the internet's infrastructure. John explains how Urbit aims to replace the current centralized internet model with a decentralized one, giving users more control over their data and interactions. This decentralized nature is what makes platforms like Turf possible, where users can interact and transact without relying on centralized servers.Challenges in Hoon Programming: John discusses the unique challenges of programming in Hoon, Urbit's native language. While Hoon offers powerful capabilities for building secure and efficient applications, it also presents a steep learning curve, particularly due to its unconventional syntax and limited documentation. Despite these challenges, John sees potential in Hoon for creating robust, decentralized applications.Orthodox Christianity and Modern Technology: John, who was born and raised in the Orthodox Christian faith, touches on the interesting trend of Westerners converting to Orthodox Christianity. He connects this to a broader search for truth and tradition in a fragmented, digital world, seeing parallels between the decentralized, self-sovereign nature of Urbit and the spiritual grounding provided by his faith.Building a Business on Urbit: John is optimistic about Turf's business potential, particularly through the sale of virtual items. He envisions a marketplace within Turf where users can trade items, leveraging the decentralized nature of Urbit to ensure authenticity and ownership. This business model reflects the growing interest in digital ownership and NFTs in virtual environments.The Future of Urbit: John is hopeful but cautious about the future of Urbit. He believes that while the technology has the potential to revolutionize the internet, its success depends on continued innovation, improved usability, and sustained financial support. He also emphasizes the need for more user-friendly applications like Turf to drive adoption.The Cultural Impact of Urbit: The conversation highlights how Urbit is fostering a new kind of online community, where quality interaction and thoughtful engagement are prioritized over mass adoption. John observes that while the Urbit community is still relatively small, it is growing steadily, attracting people who value the platform's decentralized principles and the opportunity to participate in building a new internet paradigm.

In this episode, Conor and Bryce chat with Kevlin Henney about the top recommendation from 97 Things Every Programmer Should Know.Link to Episode 194 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)TwitterADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the GuestKevlin Henney is an independent consultant, speaker, writer and trainer. His software development interests are in programming, practice and people. He has been a columnist for various magazines and websites. He is the co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series, and editor of 97 Things Every Programmer Should Know and co-editor of 97 Things Every Java Programmer Should Know.Show NotesDate Recorded: 2024-07-11Date Released: 2024-08-0997 Things Every Programmer Should Know (GitHub)97 Things Every Programmer Should KnowPattern-Oriented Software Architecture: A Pattern Language for Distributed Computing, 4th VolumePattern Oriented Software Architecture Volume 5: On Patterns and Pattern LanguagesEffective C++ Series by Scott MeyersBeautiful C++: 30 Core Guidelines for Writing Clean, Safe, and Fast CodeIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Bryce chats with Kevlin Henney about Kevlin Henneys.Link to Episode 193 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)TwitterADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the GuestKevlin Henney is an independent consultant, speaker, writer and trainer. His software development interests are in programming, practice and people. He has been a columnist for various magazines and websites. He is the co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series, and editor of 97 Things Every Programmer Should Know and co-editor of 97 Things Every Java Programmer Should Know.Show NotesDate Recorded: 2024-07-11Date Released: 2024-08-02HPXIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode of the Crazy Wisdom Podcast, Stewart Alsop hosts Scott Stevenson, co-founder and CEO of Spellbook, for a dynamic conversation. Scott shares insights about his background in Newfoundland, the inspiration he draws from nature, and the impact of remote work technologies like Starlink. They discuss Spellbook's pioneering use of generative AI for legal document review, the distinctions between structured and unstructured data, and the potential for AI to democratize legal services. Scott also explores the philosophical questions around AI consciousness and the concept of idealism, touching on the future of distributed computing and the legal industry's evolution. Tune in for a thought-provoking discussion on technology, business, and philosophy. For more on Scott and Spellbook, visit Spellbook.Check out this GPT we trained on the conversation!Timestamps00:00 - Introduction to Scott Stevenson, his background in Newfoundland, and the influence of nature on his ideas and work.05:00 - Discussion on remote work, AI, and the concept of working from remote places with technologies like Starlink.10:00 - Explanation of Spellbook's mission to help lawyers with document review and drafting using generative AI, and the challenges faced in legal tech.15:00 - The difference between structured and unstructured data, and how Spellbook addresses these challenges for lawyers.20:00 - The impact of AI on the legal field, and the potential for AI to make legal services more accessible to everyone.25:00 - Stevenson's experiences with starting companies and dealing with high legal costs, leading to the founding of Spellbook.30:00 - Challenges of combining intuition and narrative-based reasoning in business decisions, and the importance of pattern matching.35:00 - Discussion on the consciousness of AI, the philosophical question of what it means to be conscious, and Stevenson's stance on idealism.40:00 - Reflections on distributed computing, peer-to-peer models, and the challenges in building such systems.45:00 - Future of Spellbook and the legal industry, ethical considerations in providing legal AI tools, and the regulatory landscape.Key Insights1-Nature as Inspiration: Scott Stevenson emphasizes how the natural beauty and solitude of Newfoundland serve as a constant source of ideas and innovation for his work. His daily walks in nature help him outmaneuver competition and think in original ways, demonstrating the importance of a natural environment in fostering creativity.2-Evolution of Remote Work: The discussion highlights the transformative impact of remote work technologies like Starlink. Scott envisions a future where professionals can work from virtually anywhere, including remote locations like Patagonia, without sacrificing productivity or connectivity, showing the potential for a new era of work-life balance and flexibility.3-AI's Role in Legal Services: Spellbook's pioneering use of generative AI for legal document review and drafting is a significant advancement in legal tech. Scott explains how this technology helps lawyers handle unstructured text, particularly in contracts, making legal services more efficient and accessible, potentially transforming the legal industry.4-Challenges of Structured vs. Unstructured Data: The conversation clarifies the difference between structured and unstructured data. Scott describes how most software is designed to handle structured data, like databases, while unstructured data, such as legal contracts, poses unique challenges that AI can help overcome by understanding and manipulating text similarly to how a human would.5-Accessibility of Legal Services: One of Scott's primary motivations for founding Spellbook is to make legal services more accessible to small businesses and individuals who traditionally cannot afford them. By leveraging AI, Spellbook aims to reduce the cost and complexity of legal processes, democratizing access to legal assistance.6-Philosophical Inquiry into AI Consciousness: The episode delves into the philosophical question of whether AI can be conscious. Scott, a metaphysical idealist, believes that while AI can simulate human-like reasoning and narrative generation, it lacks true consciousness. This perspective challenges listeners to consider the deeper implications of AI in society.7-Balancing Narrative and Intuition in Business: Scott discusses the importance of balancing narrative-based reasoning with intuitive pattern matching in business decisions. He explains how successful companies navigate both the social and material realities, using intuition and empirical data to make informed decisions, a practice that has significantly contributed to Spellbook's growth and success.

In this episode, Bryce chats with Kevlin Henney about systems programming and more.Link to Episode 192 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)TwitterADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the GuestKevlin Henney is an independent consultant, speaker, writer and trainer. His software development interests are in programming, practice and people. He has been a columnist for various magazines and websites. He is the co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series, and editor of 97 Things Every Programmer Should Know and co-editor of 97 Things Every Java Programmer Should Know.Show NotesDate Recorded: 2024-07-11Date Released: 2024-07-26Kevlin Henney ACCU 2024 TalkIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Conor and Bryce chat with Kevlin Henney about algorithms, libraries and many programming languages!Link to Episode 191 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)TwitterADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the GuestKevlin Henney is an independent consultant, speaker, writer and trainer. His software development interests are in programming, practice and people. He has been a columnist for various magazines and websites. He is the co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series, and editor of 97 Things Every Programmer Should Know and co-editor of 97 Things Every Java Programmer Should Know.Show NotesDate Recorded: 2024-07-11Date Released: 2024-07-19FortranCoarray FortranPascal LanguagepytestNumPyPython pipRust cargoRust crates.ioIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Conor and Bryce chat with Kevlin Henney about C++, Python and more!Link to Episode 190 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)TwitterADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the GuestKevlin Henney is an independent consultant, speaker, writer and trainer. His software development interests are in programming, practice and people. He has been a columnist for various magazines and websites. He is the co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series, and editor of 97 Things Every Programmer Should Know and co-editor of 97 Things Every Java Programmer Should Know.Show NotesDate Recorded: 2024-07-11Date Released: 2024-07-12When zombies attack! Bristol city council ready for undead invasionACCU Conference97 Things Every Programmer Should Know (GitHub)97 Things Every Programmer Should Know97 Things Every Java Programmer Should KnowC++Now 2018: Ben Deane “Easy to Use, Hard to Misuse: Declarative Style in C++”When to Use a List Comprehension in PythonIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop welcomes Lachlan Phillips, founder of LiveMind AI, for a compelling conversation about the implications of decentralized AI. They discuss the differences between centralized and decentralized systems, the historical context of centralization, and the potential risks and benefits of distributed computing and storage. Topics also include the challenges of aligning AI with human values, the role of supervised fine-tuning, and the importance of trust and responsibility in AI systems. Tune in to hear how decentralized AI could transform technology and society. Check out LiveMind AI and follow Lachlan on Twitter at @bitcloud for more insights. Check out this GPT we trained on the conversation! Timestamps 00:00 Introduction of Lachlan Phillips and discussion on decentralized AI, comparing it to human brain structure and the World Wide Web. 00:05 Further elaboration on decentralization and centralization in AI and its historical context, including the impact of radio, TV, and the internet. 00:10 Discussion on the natural emergence of centralization from decentralized systems and the problems associated with centralized control. 00:15 Comparison between centralized and decentralized systems, highlighting the voluntary nature of decentralized associations. 00:20 Concerns about large companies controlling powerful AI technology and the need for decentralization to avoid issues similar to those seen with Google and Facebook. 00:25 Discussion on Google's centralization, infrastructure, and potential biases. Introduction to distributed computing and storage concepts. 00:30 Lachlan Phillips shares his views on distributed storage and mentions GunDB and IPFS as examples of decentralized systems. 00:35 Exploration of the relationship between decentralized AI and distributed storage, emphasizing the need for decentralized training of AI models. 00:40 Further discussion on decentralized AI training and the potential for local models to handle specific tasks instead of relying on centralized infrastructures. 00:45 Conversation on the challenges of aligning AI with human values, the role of supervised fine-tuning in AI training, and the involvement of humans in the training process. 00:50 Speculation on the implications of technologies like Neuralink and the importance of decentralizing such powerful tools to prevent misuse. 00:55 Discussion on network structures, democracy, and how decentralized systems can better represent collective human needs and values. Key Insights Decentralization vs. Centralization in AI: Lachlan Phillips highlighted the fundamental differences between decentralized and centralized AI systems. He compared decentralized AI to the structure of the human brain and the World Wide Web, emphasizing collaboration and distributed control. He argued that while centralized AI systems concentrate power and decision-making, decentralized AI systems mimic natural, more organic forms of intelligence, potentially leading to more robust and democratic outcomes. Historical Context and Centralization: The conversation delved into the historical context of centralization, tracing its evolution from the era of radio and television to the internet. Stewart Alsop and Lachlan discussed how centralization has re-emerged in the digital age, particularly with the rise of big tech companies like Google and Facebook. They noted how these companies' control over data and algorithms mirrors past media centralization, raising concerns about power consolidation and its implications for society. Emergent Centralization in Decentralized Systems: Lachlan pointed out that even in decentralized systems, centralization can naturally emerge as a result of voluntary collaboration and association. He explained that the problem lies not in centralization per se, but in the forced maintenance of these centralized structures, which can lead to the consolidation of power and the detachment of centralized entities from the needs and inputs of their users. Risks of Centralized AI Control: A significant part of the discussion focused on the risks associated with a few large companies controlling powerful AI technologies. Stewart expressed concerns about the potential for misuse and bias, drawing parallels to the issues seen with Google and Facebook's control over information. Lachlan concurred, emphasizing the importance of decentralizing AI to prevent similar problems in the AI domain and to ensure broader, more equitable access to these technologies. Distributed Computing and Storage: Lachlan shared his insights into distributed computing and storage, citing projects like GunDB and IPFS as promising examples. He highlighted the need for decentralized infrastructures to support AI, arguing that these models can help sidestep the centralization of control and data. He advocated for pushing as much computation and storage to the client side as possible to maintain user control and privacy. Challenges of AI Alignment and Training: The conversation touched on the difficulties of aligning AI systems with human values, particularly through supervised fine-tuning and RLHF (Reinforcement Learning from Human Feedback). Lachlan criticized current alignment efforts for their top-down approach, suggesting that a more decentralized, bottom-up method that incorporates diverse human inputs and experiences would be more effective and representative. Trust and Responsibility in AI Systems: Trust emerged as a central theme, with both Stewart and Lachlan questioning whether AI systems can or should be trusted more than humans. Lachlan argued that ultimately, humans are responsible for the actions of AI systems and the consequences they produce. He emphasized the need for AI systems that enable individual control and accountability, suggesting that decentralized AI could help achieve this by aligning more closely with human networks and collective decision-making processes.

In this episode of the Crazy Wisdom Podcast, Stewart Alsop interviews Nader Khalili, the CEO and Co-founder of BrevDev, a company making it easier to use GPUs for machine learning applications. They delve into the details of BrevDev's work, discussing AI infrastructure, the advantages of fine-tuning over training AI models from scratch, and the evolution of user experience with AI systems. Khalili shares insights about CUDA, a software suite used to leverage GPUs' power, and details how BrevDev simplifies this process. They also compare the work processes and results of remote vs non-remote work teams and share thoughts about future developments in AI. The broad spectrum of AI software applications is touched upon, highlighting the potential benefits for businesses. If you are a subscriber to GPT4 check out this GPT we trained on the episode TImestamps 00:00 Introduction to the Crazy Wisdom Podcast 00:40 Guest Introduction: Nader Khalil, CEO of BrevDev 00:49 Understanding BrevDev and its Role in GPU Usage 01:40 Deep Dive into CUDA and its Importance in AI Applications 02:40 Exploring the Challenges and Opportunities in AI Development 03:37 The Intricacies of Distributed Computing and Programming 05:12 The Role of Abstraction in Engineering and AI 06:46 BrevDev's Approach to Simplifying GPU Configuration 07:50 The Future of Fine Tuning and AI Development 11:05 The Impact of AI on Business and Software Development 22:00 The Role of Notebooks in Machine Learning and AI 24:04 Addressing Infrastructure Problems in Tech 24:21 The Challenges of Accessing GPUs 25:06 The Art of Model Training and Optimization 26:27 The Evolution of GPU Production 28:09 The Role of GPUs in Model Training 32:10 The Impact of AI on Business 33:38 The Vibrant Tech Scene in San Francisco 41:01 The Future of Deep Tech and AI 43:32 Closing Remarks and Contact Information Key Insights Simplifying GPU Use with BrevDev: BrevDev focuses on making GPUs easily accessible and usable for various purposes, especially in AI and machine learning. The platform connects to different data centers, manages hardware requirements, and sets up necessary environments like CUDA and Python versions, essentially abstracting the complexities of configuring GPUs for end-users. Understanding CUDA: CUDA (Compute Unified Device Architecture) is pivotal for AI applications as it allows for more powerful operations on NVIDIA GPUs. Nader explains CUDA as a low-level, highly capable software suite that can be challenging for application developers used to working at higher abstraction levels. Evolution of AI Applications: The conversation touches upon the Cambrian explosion in AI, emphasizing that the current boom isn't just about more noise from existing AI practitioners but a significant expansion, including application developers transitioning to AI development. The key challenge is the abstraction layers and ensuring that application developers can work without needing to understand the lower-level intricacies like CUDA. Business Philosophy and Team Dynamics in Startups: Nader discusses the importance of having a close-knit, collaborative team, especially when dealing with complex and rapidly evolving technologies. He emphasizes the preference for in-person collaboration in the early stages of a startup to facilitate better information flow and decision-making. Fine-tuning vs. Training AI Models: The podcast sheds light on the distinction between training AI models from scratch and fine-tuning existing models. Fine-tuning is presented as a more accessible entry point for businesses looking to leverage AI, focusing on how businesses can use their unique data to enhance pre-trained models for specific applications. Future of GPUs and Computational Infrastructure: Nader talks about the advancements in GPU technology, like the transition from A100s to H100s, and the challenges in accessing and utilizing these resources efficiently. He also hints at the potential shifts in computational infrastructure with new startups innovating in the GPU space. The Role of San Francisco in Tech Innovation: The podcast touches on the cultural and entrepreneurial dynamics of San Francisco, emphasizing how the city attracts and fosters a community of builders and innovators, particularly in the tech and AI sectors. Advent of Distributed Computing and Future Paradigms: There's a philosophical discussion about the future of computing, particularly around distributed, peer-to-peer, network-based software and the impact of machine learning models that can process and compress vast amounts of high-dimensional data.

Somehow, while watching Tom eat a sandwich, Chunga managed to equate Toms lunch to Kubernetes and containerization. Once again proving--Chunga is a genius. Tom says Kubernetes has its place and purpose, but it has fallen far short of the intense hype that surrounded it when it first came on to the scene. He remembers a time, back in 2015, when people boldy declared that "all infrastructure will be Kubernetes!" This is something that Tom has never believed. Furthermore, he says universal distributed computing is still a long way from being realized.  Why is that? After all this time and evolution, one would think that distributed computing, and data centers would be simple and common place in todays world. Tom has a singular reason why this is not the case. He also says that distrubuted computing is a unicorn, and going to remain so until this one, single, reason is standarized. What is it?  Listen NOW to find out! Get started using Salt in just a few minutes! Simplify your cloud with Idem Project!

In this episode of InTechnology, Camille gets into AI distributed computing with Chris Kelly, Vice President of the Client Computing Group and General Manager of Platform Software Definition and Strategy at Intel. They talk about the evolution of AI into distributed computing models, Moore's Law, developments in chip production and transistor size reduction, the future of client computing, and the rising AI PC era. The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.

“Software development has not caught up with the internet age.” So says this week's guest, Rúnar Bjarnason. But what does that mean? What would a programming language for the internet age look like?Rúnar's answer is Unison. A language that completely rethinks the way distributing computing can work, from the source code up. Borrowing some key ideas from git, it challenges the way we think about code-sharing, compilation, versioning and more. --Kris on Twitter: https://twitter.com/krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Rúnar on Twitter: https://twitter.com/runaroramaRúnar's book, Function Programming in Scala: https://amzn.to/46I9jewUnison website: https://unison-lang.orgComplete and Easy Bidirectional Typechecking for Higher-Rank Polymorphism (pdf): https://www.cl.cam.ac.uk/~nk480/bidir.pdfDo Be Do Be Do (pdf): https://arxiv.org/pdf/1611.09259.pdfRúnar's Øredev conference talk: https://youtu.be/EgIVzOobD48Cloud icons created by Freepik - Flaticon: https://www.flaticon.com/free-icons/cloudComputer icons created by xnimrodx - Flaticon: https://www.flaticon.com/free-icons/computer

The global distributed cloud market size in terms of revenue was reasonably estimated at $4.4 billion in 2022 and is anticipated to rise to $11.2 billion by 2027, presenting a CAGR of 20.6% according to Markets and Markets research. While it's still a fraction of the public cloud market size, distributed cloud is increasingly growing in popularity. Even though the hype is relatively new, distributed cloud is actually an operational trend from the past, reemerging as new technologies reinvigorate a previously dormant model. It's a re-imagined, better, more flexible version of the distributed systems from 50+ years ago. Distributed cloud has an impact on nearly every industry, fueling innovative use cases and creating a newly empowered edge primed to deliver transformative business value through new revenue streams or business models.What is all the hype around distributed cloud? How can distributed cloud and edge computing benefit your industry? 

Josef Tětek joins me to discuss the relationship between the Austrian School of Economics with Bitcoin, the impact of time preference, and the non-state properties of Bitcoin. Josef Tětekis an author and a podcaster. He works as a Bitcoin Analyst at SatoshiLabs. // GUEST // Twitter: https://twitter.com/SatsJoseph Articles: https://bitcoinmagazine.com/authors/josef-tětek Podcast: http://stackuj.cz/// SPONSORS // In Wolf's Clothing: https://wolfnyc.com/Gold Investment Letter: https://www.goldinvestmentletter.com/ iCoin Hardware Wallet (use discount code BITCOIN23): https://www.icointechnology.com/ Wasabi Wallet: https://wasabiwallet.io/ Casa (use discount code BREEDLOVE): https://keys.casa/ Bitcoin Apparel (use discount code BREEDLOVE): https://thebitcoinclothingcompany.com/ Feel Free Tonics (use discount code BREEDLOVE): https://botanictonics.com Carnivore Bar (use discount code BREEDLOVE): https://carnivorebar.com/ // OUTLINE // 00:00 - Coming up 00:51 - Intro 02:24 - Helping Lightning Startups with In Wolf's Clothing 03:10 - Introducing Josef Tětek 03:30 - Quick Background and Path into Bitcoin 04:44 - Orange Pill Moment 05:25 - Relationship of the Austrian School of Economics with Bitcoin 09:35 - No Supercomputer can Replace the Pricing System 12:26 - Distributed Computing vs. Centralized Computing 14:40 - Emergent Pricing vs. Central Planning 17:10 - The Immutable Laws 18:31 - Secure Your Bitcoin Stash with the iCoin Hardware Wallet 19:27 - Maximize Your Profits with Gold Investment Letter 20:24 - Time Preference and its Connection to Money 26:43 - Positive Consequences of Low Time Preference 28:50 - Monetary History: From Gold to Bitcoin 33:48 - Problems of the Gold Standard 35:21 - The Intangibility of Bitcoin 36:02 - A Bitcoin Wallet with Privacy Built-In: Wasabi Wallet 36:54 - Hold Bitcoin in the Most Secure Custody Model with Casa 37:42 - Bitcoin: Separation of Money and State 42:16 - Attributes that Make Bitcoin a Non-State Money 44:01 - Why Bitcoin Only 47:43 - Ten Commandments of Bitcoin 51:04 - How to Find Josef's Work// PODCAST // Podcast Website: https://whatismoneypodcast.com/ Apple Podcast: https://podcasts.apple.com/us/podcast/the-what-is-money-show/id1541404400Spotify: https://open.spotify.com/show/25LPvm8EewBGyfQQ1abIsE? RSS Feed: https://feeds.simplecast.com/MLdpYXYI// SUPPORT THIS CHANNEL // Bitcoin: 3D1gfxKZKMtfWaD1bkwiR6JsDzu6e9bZQ7 Sats via Strike: https://strike.me/breedlove22 Sats via Tippin.me: https://tippin.me/@Breedlove22 Dollars via Paypal: https://www.paypal.com/paypalme/RBreedlove// WRITTEN WORK // Medium: https://breedlove22.medium.com/ Substack: https://breedlove22.substack.com/// SOCIAL // Breedlove Twitter: https://twitter.com/Breedlove22 WiM? Twitter: https://twitter.com/WhatisMoneyShow LinkedIn: https://www.linkedin.com/in/breedlove22Instagram: https://www.instagram.com/breedlove_22 TikTok: https://www.tiktok.com/@breedlove22 All My Current Work: https://vida.page/breedlove22

Tym razem o aktualności fallacies of distributed computing, czyli systemy rozproszone Czy ww. tezy są wciąż aktualne? Sprawdźcie, jak weryfikują je Patoarchitekci! Nasze sociale i linki Materiały do odcinka

In this episode, Farzan discusses distributed computing and how it takes multiple computers work together to solve a large problem. This makes an entire network of computer appear as a single entity as it provides large-scale resources to enable advanced computations. In the context of blockchains, distributed computing is vital for running of the virtual machine (e.g., Ethereum Virtual Machine) which enables dapps, but also required for acheiving consensus across the network. When applied to AI, models needs to be trained, most individuals do not have the local resources to train large model and instead rely on third-party cloud providers to enables this computations. Through distributed computing this training can be executed through the blockchains where patricipants 'rent' their spare computing power and bid for data processing jobs. Twitter - https://twitter.com/FarzanAkhtar1  Podcast - https://www.blockchainandbeyond.co.uk/  Youtube - https://www.youtube.com/channel/UCpxhLjdOdi5oiOG2nRIgsTQ/featured

Join us for another episode of the BOINC Radio where we talk about what other platforms like BOINC exist out there!

Para el primer episodio de Digitalizados del 2023 tenemos como invitado a Sergio Rajsbaum investigador en el Instituto de Matemáticas de la Universidad Nacional Autónoma de México. Con Sergio hablamos sobre Cómputo Distribuido o Descentralizado, un modelo informático que, sin darnos cuenta, usamos todos los días. Con gran claridad, nuestro invitado nos describe los principios de estos modelos así como sus diferencias con el cómputo paralelo.  A lo largo de la plática podemos apreciar temas centrales como lo es la tolerancia a fallas y la coordinación de procesos. En efecto la implementación de estos modelos requieren de la resolución de problemas matemáticos sumamente interesantes como por ejemplo aquellos relacionados con el blockchain o cadena de bloques. Sergio Rajsbaum estudió Ingeniería en Computación en la UNAM, y doctorado en Ciencias de la Computación en el Instituto Tecnológico de Israel-Technion. Ha realizado estancias de investigación en MIT, los Laboratorios de Investigación de HP, IBM, Universidad de Toronto, Universidad de Paris, entre otras. Es actualmente investigador en el Instituto de Matemáticas de la UNAM, del cual fue Secretario Académico. Pertenece al nivel III del Sistema Nacional de Investigadores desde 2001. Premio Nacional de Computación 2022.Su área principal de investigación es la teoría matemática de la computación, enfocada a sistemas distribuidos. Ha publicado más de 100 artículos de investigación principalmente en computación distribuida, y su libro Distributed Computing through Combinatorial Topology (Elsevier). Ha sido miembro del Comite Editorial de las revistas IEEE Transactions on Dependable and Secure Computing, Elsevier Information Processing Letters, Elsevier  Computer Science Review. Reconocido en la Gaceta de la UNAM como uno de los investigadores más citados de la UNAM. Sus contribuciones a la docencia se reflejan en su libro Conocimientos Fundamentales de Computación, en la dirección de 13 tesis de licenciatura, 34 de maestría y 6 de doctorado.NOTA: El autor de la fotografía usada en el "artwork" es Sébastien Tixeuil, a quien corresponden todos los derechos.

Kexin's story is a great demonstration that sometimes building a career in tech is more about seeing and taking the opportunities placed before you rather than having a pre-planned series of steps to follow. In this episode we talked about: Intro and College in Australia Freelancer Learning in Industry Machine Learning at scale Distributed Computing Hiring for Distributed Computing roles Culture: China, Australia, USA Role of Software Architect Advice on finding the first role Closing Questions You can find and follow Kexin on LinkedIn, Twitter and Github --- Send in a voice message: https://anchor.fm/data-and-dev/message

On The Cloud Pod the team reviews the multi-billion-dollar DOD contract formerly known as Jedi awarded to big tech companies; Microsoft buys a stake in LSE, raising questions; Werner shares his 2023 tech predictions and posts the Distributed Computing manifesto to his blog; and lastly, at Azure, Bell hits bumps while trying to make Microsoft safer. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

Podcast with Gautam Siwach and Jin Vanstee !Speaker - Daniel joined IBM in 2004 to work with Linux and then diversified to other Unix platforms, like Solaris, HP-UX and IBM AIX. In 2007, Daniel was responsible for configuring and secure the first Cloud Environment at IBM when we started selling a shared virtual infrastructure to smaller customers. Daniel started consulting across whole Latin America in 2009. In 2015 he came to New York to be WW Architect for Financial Sector on Distributed Computing and started working with Kubernetes in 2016. Today he is the Worldwide SME for application modernization on OpenShift on IBM Systems.What is application Modernization ?How does underlying infrastructure effects the application modernization journey ?Why is Open Shift important for application modernization workloads ?

This episode of Over the Edge features an interview between Matt Trifiro and Dr. Robert Blumofe is Executive Vice President and Chief Technology Officer at Akamai. As CTO, he guides Akamai's technology strategy to assess new market opportunities and new platforms for innovation, explore adjacent segments for the business, influence the development of standards, work with Akamai's largest customers, and convene technology leaders within the company to catalyze innovation and represent Akamai's technology vision in the marketplace.In this episode, Dr. Blumofe explains how Akamai revolutionized content delivery networks and continues to evolve and expand its services. He discusses internet growth, adapting to a more robust virtual world, and important considerations for security. Dr. Blumoff also talks about how AI and ML will help shape the future of our cities. ---------Key Quotes:“More and more traffic to and from devices, that does create some interesting problems. You know, one is just the basic problem of scale. You now have more and more traffic from more and more locations. And, so we continue to see a world in which the internet, the volume of traffic continues to grow leaps and bounds, and the importance of the edge continues to grow.”“Security and reliability get built by layering on top of the internet protocol, not by modifying the internet protocol itself. You layer on top and the power of layering can't be overstated.”“While edge computing is great, when you look at all of the microservices that make up an application, I don't think there's many cases where you could say that they all belong at the edge, or that they all belong at the core.“For a modern application, multiple microservices, you really want to be thinking about for each microservice, where does it belong? Does it belong at the edge? Does it belong at the core? Does it belong somewhere in between?”“At this point, the cost of connectivity is so low that anything that gets any benefit from being connected well, you might as well connect it.”“It's a whole spectrum. It's not a one size fits all. But I think increasingly applications need to have at least some component running at, or very near the edge. The core alone really just doesn't solve it.”"The dramatic change from IoT really is as much on the security side as it is from the scale and the importance of the edge.”---------Show Timestamps:(02:45) Being Jack Benny's Grandson and Getting into Technology(05:20) First Memory of the Internet and Career Path(10:45) Relationship Between Mathematics and Distributed Computing(12:30) Akamai Journey(14:45) What Akamai Does and the Start of CDNs(21:30) How CDNs and Work(27:30) Akamai Server and CDN Structure(31:00) Akamai's Expanding Services and Evolution(35:30) Akamai's Acquisition of Linode(37:00) Edge vs. Core(42:30) Akamai's Interconnection Fabric(44:30) Changes to Internet Traffic, Adaptation, and Security(47:00) Concept of a Bidirectional CDN(49:15) Network Security(53:00) Akamai Network Capacity(53:15) Most Exciting Innovations (remaking cities with AI and ML)--------Sponsor:Over the Edge is brought to you by Dell Technologies to unlock the potential of your infrastructure with edge solutions. From hardware and software to data and operations, across your entire multi-cloud environment, we're here to help you simplify your edge so you can generate more value. Learn more by visiting DellTechnologies.com/SimplifyYourEdge for more information or click on the link in the show notes.--------Links:Follow Matt on TwitterConnect with Dr. Blumofe on LinkedInwww.CaspianStudios.com

In today's episode of Pitch Cafe, we have Sanjay Sawhney, Co-founder of Tala Security (3 successful STARTUP EXITS). He is an experienced engineering leader and entrepreneur with a 20+ year background in software, security, storage, and networking.

Udi Dahan is one of the world's foremost experts on Service-Oriented Architecture and Domain-Driven Design and is also the creator of NServiceBus; the most popular service bus for .NET. Udi joined us back on Episode 32 to discuss Microservices.   Topics of Discussion: [2:47] Udi talks about some of the changes, and similarities, in distributed computing in the last five years as well as generational differences to approach learning. [11:27] Udi defines what a service mesh is and when it's applicable. [14:46] Udi discusses his concerns regarding using a service mesh and common problems encountered. [22:28] With most of the new generation of programmers using Web service-based programming, what does Udi think they need to hear? [27:50] Why Udi thinks the larger companies and vendors need to take more responsibility and “do more good.” [32:48] Udi shares more on NServiceBus's offerings and functionality and why developers need to learn more. [36:36] Are there any pieces of NServiceBus that will need more than just a .NET standard support?   Mentioned in this Episode: Architect Tips — New video podcast! Azure DevOps Clear Measure (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon! Jeffrey Palermo's YouTube Jeffrey Palermo's Twitter — Follow to stay informed about future events! Particular Software — NServiceBus Episode 32 — Microservices   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.   Quotes: “Every generation of programmers needs to relearn kind of the same points over again.” — Udi [3:51] “We're still essentially coming up with new generations of technologies that are addressing the same category of problems.” — Udi [6:16] “The problem is not rooted in what do they need to hear so much as who do they need to hear it from.”— Udi [23:51] “If you know a thing, if you can help, then you should.” — Udi [29:47] “NServiceBus essentially takes all of the problems that you never want to have, and the challenges that most people don't know that they're going to have so they don't appreciate it until they have it, and essentially prevents them from happening.”— Udi [34:29] “That ounce of prevention is equivalent to a pound of cure.” — Udi [34:46]   Udi: Website | Twitter

For self-driving cars and other applications developed using AI, you need what's known as ‘deep learning', the core concepts of which emerged in the ‘50s.

We talk about how designing applications with lower friction points is a valuable goal. LiveView plays a powerful role in that mission. Mark pitches why he thinks it's time to take another look at LiveView if you haven't lately. We talk over some of the business benefits, efficiencies gained and we address some common reasons given for "why it can't work." We also cover some remaining areas of improvement for LiveView. Then we talk about how moving your servers closer to users removes additional friction both for deployment and application design. Mark shares how the fly_postgres library works and how it enables people to build "normal" Phoenix applications using Postgres read-replicas across multiple regions. A fun discussion! Show Notes online - http://podcast.thinkingelixir.com/89 (http://podcast.thinkingelixir.com/89) Elixir Community News - https://erlef.org/blog/eef/election-2022 (https://erlef.org/blog/eef/election-2022) – Erlang Ecosystem Foundation is holding elections soon. You can get involved! - https://gleam.run/news/gleam-v0.20-released/ (https://gleam.run/news/gleam-v0.20-released/) – Gleam 0.20 released - https://twitter.com/louispilfold/status/1496108145185337344 (https://twitter.com/louispilfold/status/1496108145185337344) – Gleam source code is recognized as a language on GitHub and gets syntax highlighting - https://twitter.com/louispilfold/status/1497320401461993473 (https://twitter.com/louispilfold/status/1497320401461993473) – Work has begun on a Gleam Language Server - https://github.com/DockYard/flame_on (https://github.com/DockYard/flame_on) – New performance analyzing library released by Dockyard called "flameon" - https://dockyard.com/blog/2022/02/22/profiling-elixir-applications-with-flame-graphs-and-flame-on (https://dockyard.com/blog/2022/02/22/profiling-elixir-applications-with-flame-graphs-and-flame-on) – Post explains more about the flameon library Do you have some Elixir news to share? Tell us at @ThinkingElixir (https://twitter.com/ThinkingElixir) or email at show@thinkingelixir.com (mailto:show@thinkingelixir.com) Discussion Resources - https://www.youtube.com/watch?v=IqnZnFpxLjI (https://www.youtube.com/watch?v=IqnZnFpxLjI) – Mark's 2021 Elixir Conf talk - https://github.com/readme/featured/server-side-languages-for-front-end (https://github.com/readme/featured/server-side-languages-for-front-end) – GitHub article "Move over JavaScript - Back-end languages are coming to the front-end" - https://utils.zest.dev/gendiff (https://utils.zest.dev/gendiff) – David's Phoenix version diffing tool - https://github.com/superfly/flyrpcelixir (https://github.com/superfly/fly_rpc_elixir) - https://github.com/superfly/flypostgreselixir (https://github.com/superfly/fly_postgres_elixir) - https://fly.io/docs/getting-started/elixir/ (https://fly.io/docs/getting-started/elixir/) - https://fly.io/docs/reference/regions/ (https://fly.io/docs/reference/regions/) - https://podcast.thinkingelixir.com/20 (https://podcast.thinkingelixir.com/20) – Caleb Porzio interview - https://plausible.io/ (https://plausible.io/) Find us online - Message the show - @ThinkingElixir (https://twitter.com/ThinkingElixir) - Email the show - show@thinkingelixir.com (mailto:show@thinkingelixir.com) - Mark Ericksen - @brainlid (https://twitter.com/brainlid) - David Bernheisel - @bernheisel (https://twitter.com/bernheisel) - Cade Ward - @cadebward (https://twitter.com/cadebward)

Over fifteen years ago I hosted a weekly radio show here in Atlanta called Technology for Business Sake. One of my earliest guests was Aaron Levie, co-founder and CEO of this online storage company Box.com. I remember having a fun conversation with him as we talked about a number of things, from entrepreneurship to what Box did to whatever came to mind back then. I even remember thinking why would anybody want to store their data files in the cloud…. Yeah, I have to admit to thinking that. But I know I wasn't the only one! Anyways, as great as that conversation was, and as successful as I watched Aaron and Box become from afar (Box is now publicly traded and has move way past just providing online storage to become a collaborative platform used by thousands of businesses), we haven't talked once since our initial conversation on my old radio show 14+ years ago. It goes without saying a lot has happened since then, and I was so glad to have caught up with Aaron recently for a LinkedIn Live conversation to talk about a number of different items, including how the future of work is being shaped by everything from the Internet, the metaverse and other recently emerging technologies.

The most innovative businesses in the world run on AWS. Top companies in every industry, from automobiles to healthcare to telecom, they all use AWS to build sophisticated applications that power the growth and future of their businesses.But with more than 250 products and services, keeping up with all of AWS's innovations—and making sure you are using them to their fullest potential—can be tricky.That's why we created this podcast: AWS Insiders.In each episode, we will explain how today's tech leaders can stay ahead of Amazon's constantly evolving pace of innovation. You'll hear from Amazon's top product managers as they detail their secrets and strategies to reduce costs, save time, and improve performance.You will also hear from top companies who are using AWS to drive incredible  innovation.We will share hands-on tips for making AWS easier and detail why AWS is the operating system of the future.Welcome to AWS Insiders: Secrets and strategies from the smartest minds in AWS.Hosted by AWS superfan and ESW Capital CTO Rahul Subramaniam, and powered by the team at CloudFix.AWS Insiders is available anywhere you get your podcasts.

researchgate.net/publication/357510448_Incentivizing_Energy_Efficiency_and_Carbon_Neutrality_in_Distributed_Computing_Via_Cryptocurrency_Mechanism_Design

https://www.researchgate.net/publication/357510448_Incentivizing_Energy_Efficiency_and_Carbon_Neutrality_in_Distributed_Computing_Via_Cryptocurrency_Mechanism_Design

CNCF wasmCloud helps developers to build distributed microservices in WebAssembly that they can run across clouds, browsers, and everywhere securely.   Segment Resources: - https://webassembly.org/ - https://wasmcloud.com/   Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw175

CNCF wasmCloud helps developers to build distributed microservices in WebAssembly that they can run across clouds, browsers, and everywhere securely.   Segment Resources: - https://webassembly.org/ - https://wasmcloud.com/   Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw175

Please join us in The BreakLine Arena for a conversation with Ali Ghodsi, CEO and Co-founder of Databricks.As Chief Executive Officer, Ali responsible for the growth and international expansion of the company. He previously served as the VP of Engineering and Product Management before taking the role of CEO in January 2016. In addition to his work at Databricks, Ali serves as an adjunct professor at UC Berkeley and is on the board at UC Berkeley's RiseLab.Ali was one of the original creators of open source project, Apache Spark, and ideas from his academic research in the areas of resource management and scheduling and data caching have been applied to Apache Mesos and Apache Hadoop. Ali received his MBA from Mid-Sweden University in 2003 and PhD from KTH/Royal Institute of Technology in Sweden in 2006 in the area of Distributed Computing.If you like what you've heard, please like, subscribe, or follow our show. To learn more about BreakLine Education, check us out at breakline.org.

Today Will speaks with Sam Enkoa, a Creative problem-solver innovating solutions in Energy, Technology & Finance and the CEO and Founder of Greensparc. This episode covers Distributed Computing, what crypto miners tend to overlook in the Energy Markets, the future of The Edge & resiliency and so much more. Listen to learn more! THIS EPISODE'S SPONSORS: Amerex- https://sazmining.com/amerex/ BlockFi- https://blockfi.com/sazmining TIMESTAMPS: 0:00-0:48 - Introduction 0:49-5:08 - Sam's Background 5:31-9:20 - Defining Energy Markets 9:21-12:53 - What do Cryptominers overlook when getting into Energy Markets? 12:52-17:25 - How can people become more informed on the Energy Sector? 17:26-20:57 -What is Distributed Computing? 20:58-24:41 - How do you see this technology evolving in relation to energy & blockchain? 24:42-30:11 - What upcoming use cases are you most excited for? 30:12-33:59 - What are the common educational gaps for your line of work? 34:00-35:13 - Where to find Sam Enoka & Greensparc 35:14-39:25 - How people overlook the complexities of the Energy Market 39:26-39:54 - Conclusion WHERE TO FIND THE SHOW: → Website: https://sazmining.com/podcast → Apple Podcasts: https://podcasts.apple.com/us/podcast/everything-crypto-mining-the-sazmining-podcast/id1533055103 → Spotify: https://open.spotify.com/show/7rldZMBuf447UHaWyV1UtV?si=SqsAW1aESNiiSbHwWSL8oQ&dl_branch=1 → YouTube: https://www.youtube.com/channel/UCt0_Ymrq6PVZcNZP_Thvb2w LISTEN TO OLD EPISODES: → Season One: https://www.youtube.com/playlist?list=PLCcctgrDmFCN7aFLZkPRd20fNJbflXxZK → Season Two: https://www.youtube.com/playlist?list=PLCcctgrDmFCN1gX3R1uKL2bqTI-uUzTd7 SUPPORT THE SHOW: → Have an idea for a guest? Email Us: Podcast@Sazmining.com FOLLOW US: → Twitter: https://twitter.com/sazmining → LinkedIn: https://www.linkedin.com/company/sazmining-inc/ → YouTube: https://www.youtube.com/channel/UCt0_Ymrq6PVZcNZP_Thvb2w → Website: https://sazmining.com --- Support this podcast: https://anchor.fm/sazmining/support

The popular conception of ants is that “anatomy is destiny”: an ant's body type determines its role in the colony, for once and ever. But this is not the case; rather than forming rigid castes, ants act like a distributed computer in which tasks are re-allocated as the situation changes. “Division of labor” implies a constant “assembly line” environment, not fluid adaptation to evolving conditions. But ants do not just “graduate” from one task to another as they age; they pivot to accept the work required by their colony in any given moment. In this “agile” and dynamic process, ants act more like verbs than nouns — light on specialization and identity, heavy on collaboration and responsiveness. What can we learn from ants about the strategies for thriving in times of uncertainty and turbulence?What are the algorithms that ants use to navigate environmental change, and how might they inform the ways that we design technologies? How might they teach us to invest more wisely, to explore more thoughtfully?Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I'm your host, Michael Garfield, and every other week we'll bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.In this episode we talk to SFI External Professor Deborah Gordon at Stanford University about the lessons we can learn from insect species whose individuals cannot be trained, but whose collective smarts have reshaped every continent. We muse on what the ants can teach us about a wide variety of real-world and philosophical concerns, including:  how our institutions age, how to fight cancer, how to build a more resilient Internet, and why the notion of the “individual” is overdue for renovation…If you value our research and communication efforts, please subscribe to Complexity Podcast wherever you prefer to listen, rate and review us at Apple Podcasts, and/or consider making a donation at santafe.edu/podcastgive. You can find numerous other ways to engage with us at santafe.edu/engage. Thank you for listening!Join our Facebook discussion group to meet like minds and talk about each episode.Podcast theme music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedInKey Links:Deborah Gordon at StanfordDeborah's TED Talk, "What Ants Can Teach Us About Brain Cancer and The Internet"Deborah's Google Scholar PageDeborah's book, Ants at Work: How an Insect Society is OrganizedFurther Exploration:Complexity 10 with Melanie Moses (ants, scaling, and computation)Complexity 29 with David Krakauer (catastrophe and investment strategy)Complexity 56 with J. Doyne Farmer (market ecology)Krakauer, et al., "The Information Theory of Individuality"W. Brian Arthur, "Economics in Nouns & Verbs"Michael Lachmann's research on Costly Signaling and Cancer 

L Peter Deutsch of Aladdin Enterprises and formerly of Sun Microsystems joined host Jeff Doolittle to discuss the fallacies of distributed computing. Peter retold the history and origin of the fallacies and how they have been addressed over...

Fallacies of distributed computing are a set of myths we believe, when designing complex systems. And what is a distributed system? Well, if your application is split into hundreds of microservices, it's distributed. Or if you have a single application, scaled horizontally to hundreds of instances. Or… If you have a monolith connecting to a database on the other node. This is a distributed system as well! OK, we have 200 seconds left and 8 fallacies to cover. Let's go! Read more: https://256.nurkiewicz.com/37 Get the new episode straight to your mailbox: https://256.nurkiewicz.com/newsletter

In this episode,Sivaguru from PM Power Consulting is in conversation with Dr. Pramod Varma, CTO of EkStep and Chief architect of Aadhaar, where Pramod talks aboutHis early school years studying in his mother tongue, MalayalamGetting into Applied mathematics for higher studiesJoining Infosys and learning to address the challenges of teaching academically high performersHis experience in using some of the earliest technology components of the internetHow his research and teaching led him to conceptual thinking and architectural thinking, through a non-linear learning approach for himselfHOw he developed the skills to communicate the big vision to individual contributors too - by thinking and working in a startup modeHis principles to Abstract, Isolate and define interfaces firstMaking sure the interface and automation are sollidBuilding for refactorabilityImportance of understanding the why behind the why behind the whyDesign for a decade, implement for todayHis idea of coming up with an addressable recipient for paymentHis thoughts on Chief architect or design by committee modelHis four tips for an aspiring architectDr. Pramod Varma is the CTO of EkStep, a not-for-profit creating learner-centric, technology enabled platform aiming to provide learning opportunities to 200 million children in India. In addition, he continues to be the Chief Architect of Aadhaar, India's digital identity program that has successfully covered more than 1.2 billion people in a short span of 7 years. He is also the architect of various India Stack layers such as eSign, Digital Locker, and Unified Payment Interface (UPI) all of which are now working at population scale in India. He has, along with Nandan Nilekani, co-founded beckn.org a non-profit creating open source protocol specifications for hyperlocal commerce.He is an advisor to Unique Identification Authority of India (UIDAI), National Payment Corporation (NPCI), Goods and Services Tax Network (GSTN), National Health Authority (NHA), Securities and Exchange Board of India (SEBI), and helps with many digital public infrastructure initiatives. He regularly speaks at technology conferencesand is part of advisory groups of various national projects from time to time.Before joining UIDAI in July 2009, he was the Chief Technology Architect and Vice President of Research at Sterling Commerce, now part of IBM. He joined Sterling in 2005 when Sterling Commerce acquired Yantra Corporation, a leading supply chain software company based in Boston, USA. At Yantra Corporation he has been anchoring all technology and architecture strategies and has been key part in building Yantra’s founding team. He began his career as part of the research team at Infosys Technologies and has been part of team that built an Internet banking module and a powerful web application server as early as 1995.Over the past 25+ years, he has studied architectures spanning from mainframes to web and has worked extensively with most programming languages, platforms, and databases. He has researched and taught various courses in Database Tuning, Distributed Computing, Internet Technologies, and Computer Architectures among others.Pramod holds a Master’s and Ph.D. degree in Computer Science along with a second Master’s in Applied Mathematics. His interests include Internet scale distributed architectures and intelligent systems. He is passionate about technology, science, society, and teaching.This podcast was created on Hubhopper studio. If you wish to start your own podcast for free, visit www.hubhopperstudio.com. Hubhopper is India's leading podcast creation platform. Start your podcast with Hubhopper studio & get your voice heard across platforms like Spotify, Gaana, Google podcasts, Wynk Music and more. Click on the link in the episode description or visit www.hubhopperstudio.com

DevOps Continuous Integration - Continuous Delivery CI CD have seen successful adoption in many places . This has helped in the automation of code integration, build and deployment . But infrastructure is always missed out in this process. In traditional on premises world, infrastructure once created will not change very often. But with Distributed Computing and Cloud, infrastructure needs to be created real time and teared down as and when required. There is no way to manually create infrastructure across regions without automating the creation of infrastructure. And these scripts have to be version controlled and treated as another piece of code . It should be part of CI- CD process as well. In this epsiode, I'm discussing Infrastructure as Code and why should Developers , not just DevOps engineers should care.

We talk with Jonathan Allen, an instructor at a Utah college, who taught Elixir to his Distributed Computing students. He tells how he got Elixir into the classroom, what the students loved, what was hard, and how we in the professional community can influence Elixir in education! Show Notes online - https://thinkingelixir.com/podcast-episodes/026-elixir-in-higher-ed-with-jonathan-allen

We talk with Jonathan Allen, an instructor at a Utah college, who taught Elixir to his Distributed Computing students. He tells how he got Elixir into the classroom, what the students loved, what was hard, and how we in the professional community can influence Elixir in education! Show Notes online - https://thinkingelixir.com/podcast-episodes/026-elixir-in-higher-ed-with-jonathan-allen The post #026 Elixir in Higher Ed with Jonathan Allen appeared first on Thinking Elixir.

The story of Ray and what lead Robert to go from reinforcement learning researcher to creating open-source tools for machine learning and beyond Robert is currently working on Ray, a high-performance distributed execution framework for AI applications. He studied mathematics at Harvard. He’s broadly interested in applied math, machine learning, and optimization, and was a member of the Statistical AI Lab, the AMPLab/RISELab, and the Berkeley AI Research Lab at UC Berkeley. robertnishihara.com https://anyscale.com/ https://github.com/ray-project/ray https://twitter.com/robertnishihara https://www.linkedin.com/in/robert-nishihara-b6465444/ Topics covered: 0:00 sneak peak + intro 1:09 what is Ray? 3:07 Spark and Ray 5:48 reinforcement learning 8:15 non-ml use cases of ray 10:00 RL in the real world and and common uses of Ray 13:49 Ppython in ML 16:38 from grad school to ML tools company 20:40 pulling product requirements in surprising directions 23:25 how to manage a large open source community 27:05 Ray Tune 29:35 where do you see bottlenecks in production? 31:39 An underrated aspect of Machine Learning Visit our podcasts homepage for transcripts and more episodes! www.wandb.com/podcast Get our podcast on Apple, Spotify, and Google! Apple Podcasts: https://bit.ly/2WdrUvI Spotify: https://bit.ly/2SqtadF Google: http://tiny.cc/GD_Google Subscribe to our YouTube channel for videos of these podcasts and more Machine learning-related videos: https://www.youtube.com/c/WeightsBiases We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it! Join our bi-weekly virtual salon and listen to industry leaders and researchers in machine learning share their research: http://tiny.cc/wb-salon Join our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning: http://bit.ly/wb-slack Our gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices. https://app.wandb.ai/gallery

In this week’s episode, Aarav Makadia discusses the emerging importance of analytics in business operations, as well as the development of human-computer interaction and the use of cryptography in computer science. Listen to episode 11 of TheOpenShow to learn more! --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

Greg is a Senior Computer Scientist with broad academic, technical, research, and leadership experience. His areas of expertise include Software Engineering and Systems, Parallel and Distributed Computing, Information Assurance, and Mobile Computing. He spent over 4 years as a Master Software Engineer with Capital One and is has now been with Terazo for over 2 years where he recently moved into the role of Market Technical Director. Greg has developed graduate and undergraduate programs, curricula, and courses (online and in-seat), and has taught a wide variety of courses to students at all levels. 

ManicFlow Money Welcome to Manicflow Money: A simple approach to looking at the world we live in and what could be affecting our asset, saving, and retirement and choices. Here's what we have today. ********* Roger Wattenhofer Professor of Distributed Computing at ETH Zurich @rogwattenhofer on Twitter ********* Welcome to Manicflow Money A simple approach to looking at the world we live in & what could be affecting our asset, saving, and retirement choices. Here's what we have today. __________ Livecoin: https://livecoin.net/?from=Livecoin-DgeTAvsF Binance: https://accounts.binance.us/en/register?ref=35300979 Kucoin: https://www.kucoin.com/ucenter/signup?rcode=2KuaK7M Coinbase: https://www.coinbase.com/join/flower_zkt [website]: https://www.manicflow.com [shop]: https://teespring.com/stores/manicflow [donate]: https://www.paypal.com/paypalme/manicflow?locale.x= IG | Tw: @manicflow __________ NOT AN ADVISOR

An airhacks.fm conversation with Viktor Gamov (@gAmUssA) about: Russian, pirate 286 intel knock-off, starting with BASIC, typing programs from magazines, fun with computer graphics primitive in BASIC, Flash animations with ActionScript, drawing buttons with Visual Basic, learning C/C++ at the university, implementing a log scraper in Pearl to get an aggregated view, Unreal Tournament was the secret goal, enjoying the lack of no compilation in excel macros, Java and Flex development, creating GUIs with Borland C++ builder at university, the size of statically compiled libraries matters, optimising the size with MS Visual C++, exploring DirectX SDK, OpenGL vs. DirectX, enjoying MSDN with Visual Studio .net and C#, the Russian Development Software Network rsdn.org, Thinking in C++ over Thinking in Java, nice looking and opensource Eclipse IDE, writing web servers in Java, JRE vs. JDK, Moscow State University for Railway Engineering, writing backends with WebSphere and RAD, WebSphere Community Edition 5.0 vs. Geronimo vs. Tomcat, Borland JBuilder with JBCL, great DeveloperWorks from IBM, Scott Davis' articles about Groovy, smart and motivated kids, nice Ruby and Rails, Scott Davis and Grails, working on Russian Google -> Yandex, working with Yakov Vain in Flex and Java, writing the Enterprise Web Development book, working for Hazelcast and Talip Ozturk, speaking at JavaOne, working as solution architect, meeting Cay Horstmann - author of Core Java book, the CAP theorem, from Hazelcast to Conluent and Apache Kafka, building kafka-tutorials.confluent.io, Kafka and JMS are following opposite principles, from JMS persistent topics to Kafka, from Hadoop and Big Data to Kafka, BigData and lambda architecture, from batch to real time processing, data is an immutable set of events, no replay in JMS, the outbox pattern, Change Data Capture (CDC), debezium, Viktor Gamov on twitter: @gAmUssA, Victor's website: gamov.io

This episode is sponsored by “The Chief IO”. The Chief I/O is the IT leaders' source for insights about DevOps, Cloud-Native, and other related topics. It's also a place where companies can share their stories and experience with the community. Visit www.thechief.io to read insightful stories from cloud-native companies or to submit yours. It's 2018 in Kubecon North America, a loud echo in the microphone, and then Ben Sigelman is on the stage. There is conventional wisdom that observing microservice is hard. Google and Facebook solved this problem, right? They solved it in a way that allowed Observability to scale to multiple orders of magnitude to suit their use cases. The prevailing assumption that we needed to sacrifice features in order to scale is wrong. In other words, the notion that people need to solve scalability problems as a tradeoff for having a powerful set of features is incorrect. People assume that you need these three pillars of Observability: metrics, logging, and tracing, and all of a sudden, everything is solved. However, more often than not, this is not the case. I'm Kassandra Russel, and today we are going to discuss Observability and why this is a critical day-2 operation in Kubernetes. Next, we will discuss the problems with Observability and leverage its three pillars to dive deep into some concepts like service level objectives, service level indicators, and finally, service level agreements. Welcome to episode 6! Moving from a world of monolithic to microservices world solved a lot of problems. This is true for the scalability of machines but also of the teams working on them. Kubernetes largely empowered us to migrate these monolithic applications to microservices. However, it made our applications distributed in nature. The nature of Distributed Computing added more complexity in how microservices interact. Having multiple dependencies in each one produces a higher overhead in monitoring. Observability became more critical in this context. According to some, Observability is another soundbite without much meaning. However, not everyone thought this way. Charity Majors, a proponent of Observability, defines it as the power to answer any questions about what's happening on the inside of the system just by observing the outside of the system, without having to ship new code to answer new questions. It's truly what we need our tools to deliver now that system complexity is outpacing our ability to predict what's going to break. According to Charity, you need Observability because you can “completely own” your system. You have the ability to make changes based on data you have observed from the system. This makes Observability a powerful tool in highly complex systems like microservices and distributed architectures. Imagine you are sleeping one night and suddenly your phone rings. --- Send in a voice message: https://anchor.fm/thedevopsfauncast/message Support this podcast: https://anchor.fm/thedevopsfauncast/support

Open Science Grid, Distributed Computing, Midscale collaborations, South Pole Telescope, ENZO: Adaptive mesh code for Astrophysics, Hydrodynamic simulations, and Fraud Detection. Dr. Pascal Paschos is a computational scientist at the University of Chicago and an instructor of Mathematics and Computer Science at Chicago State University. Previously he was in academic research at UC California San Diego on Computational cosmology, he moved to Chicago where he worked in High-Performance Computing at Northwestern University. Later, he joined the Maniac Lab at the University of Chicago where he is involved in accelerating computational research using advanced cyberinfrastructure for several international high energy physics experiments and serves as the Open Science Grid area coordinator for midscale collaborations. --- Send in a voice message: https://anchor.fm/scientificsense/message Support this podcast: https://anchor.fm/scientificsense/support

OPIS W tym odcinku rozmawiamy w troche innej formie - o technologiach chmurowych z punktu widzenia konkretnego success story. A moim gościem jest Wojciech Gawroński NOTATKI Kim jest Wojtek Gawroński - 1 min Chmura pozwala działać zwinniej - 3 min Czy korzystanie z usług jest tańsze czy droższe - 11 min Co AWS oferuje dla tego typu projektów - 19 min Co chmura zmienia względem tradycyjnego podejścia - 25 min Jakie umiejętności są wg Ciebie potrzebne aby umiejętnie korzystać z chmury - 36 min Jak zmieniają się role, stanowiska wymagania i umiejętności - 50 min Gdzie można znaleść Wojtka w sieci - 65 min LINKI Pattern Match: https://pattern-match.com Blog: https://pattern-match.com/blog From Monolith to Serverless: https://services.pattern-match.com/from-monolith-to-serverless Blog AWS Gentleman: https://awsgentleman.com Twitch (cotygodniowe spotkania online na temat AWS): https://www.twitch.tv/afronski LinkedIn: https://www.linkedin.com/in/afronski Instagram: https://www.instagram.com/afronsky Cytat Leslie Lamporta o systemach rozproszonych. Fallacies of Distributed Computing. The 12 factor App. AWS Modern Application Development. AWS Data Flywheel i nasz artykuł o tym. The Art of Capacity Planning The Phoenix Project Accelerate: The Science of Lean Software and DevOps

Proteins are molecular machines that must first assemble themselves to function. But how does a protein, which is produced as a linear string of amino acids, assume the complex three-dimensional structure needed to carry out its job? That's where Folding at Home comes in. Folding at Home is a sophisticated computer program that simulates the way atoms push and pull on each other, applied to the problem of protein dynamics, aka "folding". These simulations help researchers understand protein function and to design drugs and antibodies to target them. Folding at Home is currently studying key proteins from the virus that causes COVID-19 to help therapeutic development. Given the extreme complexity of these simulations, they require an astronomical amount of compute power. Folding at Hold solves this problem with a distributed computing framework: it breaks up the calculations in the smaller pieces that can be run on independent computers. Users of Folding at Home - millions of them today - donate the spare compute power on their PCs to help run these simulations. This aggregate compute power represents the largest super computer in the world: currently 2.4 exaFLOPS!Folding at Home was launched 20 years ago this summer in the lab of Vijay Pande at Stanford. In this episode, Vijay (now a general partner at a16z) is joined by his former student and current director of Folding at Home, Greg Bowman, an associate professor at Washington University in St. Louis, and Lauren Richardson. We discuss the origins of the Folding at Home project along with its connection to SETI@Home and Napster; also the scientific and technical advances needed to solve the complex protein folding and distributed computing problems; and importantly what does understanding protein dynamics actually achieve? 

CEO of Open Orchard, Ex Head of Communications & Advocacy at Steemit Andrew Levine joins Utsav Jaiswal to discuss whither blockchain, what inspired Andrew and his team at Open Orchard to start their project on launching new Blockchain Koinos, the driving philosophy as well as the underlying technology. Andrew talks about the differences between Bitcoin, Ethereum, Hiveblocks and Koinos Blockchains, how the Koinos will enable developers build their own dApps faster. Community's questions asked via #HackerNoonKoinos, related to explaining Blockchain to those not in the know, how success and knowledge are not as intertwined, the role of open source community and technology stalwarts in the adoption of niche technologies, and why the best way to boost progress in the world is to make it easier for everyone to launch more powerful applications. Check related reads on Hacker Noon: Inside Tron's Steem Takeover Attempt and the Birth of the Hive Blockchain https://hackernoon.com/tagged/open-source https://hackernoon.com/tagged/blockchain  

Distributed computing is a powerful tool for increasing the speed and performance of your applications, but it is also a complex and difficult undertaking. While performing research for his PhD, Robert Nishihara ran up against this reality. Rather than cobbling together another single purpose system, he built what ultimately became Ray to make scaling Python projects to multiple cores and across machines easy. In this episode he explains how Ray allows you to scale your code easily, how to use it in your own projects, and his ambitions to power the next wave of distributed systems at Anyscale. If you are running into scaling limitations in your Python projects for machine learning, scientific computing, or anything else, then give this a listen and then try it out!

Video Recording: https://video.hardlimit.com/videos/watch/0ffb6d20-2151-444a-a860-c26754cabe90 Shownotes: https://anonradio.net/djs/tsr-the-server-room/ Install #Folding@Home on Your Computers and Join the Server Room Show's team effort to help find a cure for #Covid19 using the team code 258277 Contact Information Email viktormadarasz@sdf.org Telegram Chat Group https://t.me/tsrpodcast VOIP // PSTN 261414@sanjose2.voip.ms +1 910 665 9191

This is a must-listen for people Watch the episode on YouTube  Guests Dr Ben Goertzel is the Founder and CEO of SingularityNET and Chief Science Advisor for Hanson Robotics. He is one of the world’s leading experts in Artificial General Intelligence (AGI), with decades of expertise in applying AI to practical problems like natural language processing, data mining, video gaming, robotics, national security and bioinformatics. He was part of the Hanson team which developed the AI software for the humanoid Sophia robot, which can communicate with humans and display more than 50 facial expressions.Today he also serve as Chairman of the AGI Society, the Decentralized AI Alliance and the futurist nonprofit organisation Humanity+   Guest 2 https://www.toda.network/ https://www.ieee-tems.org/ai-standards-toufi-saliba/ Toufi Saliba is CEO, Privacy Shell and former ACM chair PB CC, currently most importantly, I'm the global chair AI Standards IEEE (470,000 members) Toufi's background is mainly in Machine Learning, Decentralized Governance, Distributed Computing, and Cryptography. He'd TODA's protocol co-author. He has authored and co-authored several algorithms, protocols, and patents.

Folding@home's processing power continues to surge in the fight against COVID-19, Audacious switches to QT5, UBports and Volla join forces, and MythTV rolls out modern decoding improvements.

An airhacks.fm conversation with Bela Ban belaban.blogspot.com about: C64 wasn't real, Atari was the way to go, Atari ST vs. Amiga wars, Pascal, Modula-2 and Modula 3, Atari had a nice IDE with 1MB RAM, War Games movie, contact list application as "hello, world", fixing Epson printer hexcodes, chess and tennis over programming, learning C was a step down from Modula, system programming and the fascination with immediate feedback, writing CORBA to CMIP bridges in GDMO, C++ templates are an own language, "C++ is crap", Java at the first World Wide Web conference in 1995 in ...Darmstadt, starting with oak, applets and NCSA Mosaic, Netscape server, extracting data from mainsframes with Java over JNI, Cornell University research with Sun's Java 1.0, working with Ken Birman, Robbert van Renesse, Werner Vogels, Ensemble in Ocaml, replacing Ocaml with Java the "Java Groups", Jim Waldo was leading the JINI project, Sun Microsystems and Cornell worked together to make Java Intelligent Network Infrastructure (JINI) reliable using Java Groups, leasing JINI was revolutionary, JINI message was changed several times, there was no elevator pitch for JINI, Sun tried to keep the JINI / Java Groups cooperation secret, A Note on Distributed computing by Jim Waldo, the Eight Fallacies of Distributed Computing, JGroups on Sourceforge in 2000 (and still on available), revival of JGroups at Fujitsus's Network Management System, the Sacha Labourey and Marc Fleury contact, writing JBoss Cache on unpaid vacation in 6 weeks, the Blue and Red Papers from Mark Fleury, the EJB Open Source System, Mark Fleury and paratroopers, JBoss Cache started as tree and became a distributed map, meeting Manik Surtani in a Taxi, JBoss Cache became Infinispan, JGroups is the communication layer of Infinispan, the CP of CAP interests resulted in RAFT, JGroups RAFT is used in production, there are many Paxos implementations Raff is a Paxos simplification, RAFT for kids in JBoss Distributed Singletons, useless but consistent systems, vector clocks is an inconvenient reconciliation system, JGroups is using RocksDB and MapDB, JGroups makes UDP and other protocols like RDMA reliable, JGroups is particularly efficient with many nodes, JGroups and Sun Cluster Lab in Switzerland, running JGroups on 2000+ nodes at Gcloud, Project Loom and Fibers, mini sabaticals for hype chasing, back to easy request response to Project Java's Loom and Fibers, injecting JChannel in Quarkus, JGroups runs on Quarkus in native mode, KISS and JGroups - No Dependencies in JGroups, Bela's blog: belaban.blogspot.com

There's a lot of frustration over technology - laws, giant corporations, access to data, and a future devoid of freedom as technology driven by legislation takes over. I have a different take. My thesis is everything happening is for the good. It pushes us to innovate. We will innovate and the technology will set us free. John said the TRUTH will set us free. Technology is the application of knowledge, the application of TRUTH, and the TECHNOLOGY will set us free. Listen now to learn more.

An airhacks.fm conversation with Mark Little (@nmcl) about: the 250 miles terminal connection, Commodore PET, battle ships on paper tapes, mocking the login screen on Commodore, reverse engineering Space Invaders, the lack of games in UK was a motivation for writing games, learning peek and pokes, Commodore engineering team wrote a book about machine code, Basic on BBC model B, Pascal and C on EPROMs, building a hotel booking system on Pascal, building a pseudo operating system with C, Concurrent Pascal, Cfront - the early version of C++, Atari ST came with C support, C++ over Concurrent Euclid, working with Andy Tannenbaum and Bjorne Stroustroup on Minix, porting Minix to Atari ST, Arjuna the Indian god, Indian Gods over Celtics, Arjuna -- the object oriented transaction system, started in 1985, inheriting transactions, transactions are not about HA, transactions are about recoverability, starting Java as Oak, the shiny object syndrome and transition to Java, writing web browsers in Java, porting Arjuna to Java with Blackdown Java, Jim Waldo and Note on Distributed Computing, opaque over transparent, Johan Vos was a member of the Blackdown team, RPC with C++ and Arjuna, almost serverless, packing and unpacking instances and the Lock Manager, 2PC was the default, without X/Open XA heuristics the system would block forever, XA heuristics were introduced to make independent decisions, enforcing consistency in microservices with 2PC/XA is hard, SOA and microservices come with similar challenges, there is no a single transaction model applicable for every single use case, XA/2PC is lesser suited for long running actions, transactions were out-of-fashion - now they are back, Google Spanner is transactional, Arjuna was acquired by Bluestone, Arjuna Technologies was acquired by HP, JBoss did a partial acquisition of Arjuna, before the Arjuna acquisition, JBoss couldn't handle 2PC properly, Bluestone became the HP application server, JBoss was always opensource and good quality code, J2EE came before annotations - metadata was attached with partially redundant XML, Mark became RedHat CTO in 2009, MicroProfile is great and there is a lot of interests in evolving Java into clouds by the community, Jakarta EE was a great move by Oracle in 2017, Jakarta EE has to move faster, Jakarta EE is more like the stable OS, MicroProfile is where the innovation happens, there are no more monolithic application server, what does "enterprise" mean?, QuarkEE is opinionated Quarkus, Mark Little on twitter: @nmcl, Mark's blog

John Markoff is a Pulitzer Prize winning technology journalist, who retired from his position at the New York Times in 2017. He grew up in the Bay Area of California, and was one of the first journalists to write about the World Wide Web. This interview includes a discussion about Silicon Valley as an idea and workplace; counter cultures and technology; distributed computing and the evolution of the internet / World Wide Web. There is also some discussion about self-driving vehicles toward the end of the interview. Work on a Stewart Brand biography was also touched upon. Books written by Markoff include What the Dormouse Said: How the 60s Counterculture Shaped the Personal Computer Industry and Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots. Co-authored and collaborative works include The High Cost of High Tech; Cyberpunk: Outlaws and Hackers on the Computer Frontier and Takedown: The Pursuit and Capture of America's Most Wanted Computer Outlaw. Computer History Museum https://www.computerhistory.org/events/bio/John,Markoff Stanford University https://casbs.stanford.edu/people/john-markoff BUSINESS TECHNOLOGY; A Free and Simple Computer Link https://www.nytimes.com/1993/12/08/business/business-technology-a-free-and-simple-computer-link.html What the Dormouse Said: How the 60s Counterculture Shaped the Personal Computer Industry https://www.amazon.com/What-Dormouse-Said-Counterculture-Personal/dp/0143036769 Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots https://www.amazon.com/Machines-Loving-Grace-Common-Between/dp/0062266691 The “Whole Earth Catalog" was a 1960s publishing sensation. It happened because its creator was given a chance to fail. https://altaonline.com/access-to-success/ Cyberpunk http://www.brucebethke.com/ https://www.vice.com/en_us/article/bn5k5m/william-gibson-interview-399 http://project.cyberpunk.ru/idb/nealstephenson.html https://www.vanityfair.com/news/2017/06/neal-stephenson-metaverse-snow-crash-silicon-valley-virtual-reality Elon Musk's War On LIDAR: Who Is Right And Why Do They Think That? https://www.forbes.com/sites/bradtempleton/2019/05/06/elon-musks-war-on-lidar-who-is-right-and-why-do-they-think-that/#6630eb492a3b Do You Trust This Computer? https://youtu.be/3CJE6XheubM The future of radio may well be digital, but it won't survive on DAB https://www.theregister.co.uk/2018/05/22/digital_future_is_not_dab/

Johannes Schweifer speaks about his company CoreLedger, the mechanics of tokenizing physical assets and overcoming the gap between physical assets and the digital world, current use cases of tokenized assets, legal and regulatory aspects, why you can't compare the blockchain era to the Internet era, best jurisdictions for running blockchain projects, and much more. Johannes is the Co-Founder and CEO of CoreLedger, which is building blockchain-based enterprise solutions that allow existing and new businesses to run on blockchains. He is the Co-Founder of Bitcoin Suisse and a Bitcoin and blockchain pioneer with more than 15 years of experience as a project manager and software architect for enterprises in the IT and financial sector. Johannes holds a Master's in Chemistry and a PhD in Distributed Computing and Quantum Chemistry from the University of Vienna.  Johannes Schweifer: https://www.linkedin.com/in/johannes-schweifer-6b7b6812 CoreLedger: https://www.coreledger.com, https://twitter.com/CoreLedger Also mentioned in the episode: Ambitorio: https://www.ambitorio.com, https://twitter.com/ambitorio This is a sponsored interview brought to you by CoreLedger. Many thanks to our sponsor! CoreLedger is a blockchain-based peer-to-peer transaction infrastructure provider. It enables businesses to document, tokenize and trade any type of assets in a reliable and flexible environment. CoreLedger makes anything transactable, literally anything. To learn more about CoreLedger's technology and how you can transform your business onto blockchain, visit http://www.coreledger.net. The Blockchain and Us newsletter To stay up to date about what blockchain pioneers, innovators and entrepreneurs from all around the world think about the future of this space, sign up for the newsletter at http://www.theblockchainandus.com.

Halsey Minor is one of the biggest internet and tech pioneers of our day. In 1993 he co-founded CNET, which would eventually be sold to CBS for 1.8 billion dollars. In 1999 he helped Marc Benioff co-found Salesforce. Today, Halsey is working on a bunch of projects, including Videocoin, and in this conversation, Anthony Pompliano and Halsey cover everything from distributed computing, crypto currencies, and blockchain technology. ----- Join the Off the Chain newsletter. Pomp's daily email analyzes the crypto market for institutional investors. Simply, it’s the best crypto newsletter delivered to your inbox every morning. No frills. No bullsh*t. Just everything you need to know in a 3-minute read. https://offthechain.substack.com/ ----- BlockFi BlockFi allows you to keep your crypto, put it up as collateral, and receive a USD loan funded directly to your bank account. They do loans ranging from $2,000 to $10,000,000, and they're perfect for helping you reach your financial goals of all sizes. Visit BlockFi.com/Pomp to learn more about putting your crypto to work without having to sell it. ----- If you enjoyed this conversation, share it with your colleagues & friends, rate, review, and subscribe. This podcast is presented by BlockWorks Group. For exclusive content and events that provide insights into the crypto and blockchain space, visit them at: https://www.blockworksgroup.io

The assumptions we can safely make when building a distributed application are few and far between. Unlike a lot of smaller applications, distributed applications tend not to have system boundaries in the way that many other applications have. Read more › The post Distributed Computing Fallacies appeared first on Complete Developer Podcast.

This episode of Venture Stories is co-hosted by Dani Grant (@thedanigrant), analyst at USV. She talks with three leaders in the distributed computing space: - Dan Desjardins, CEO of Distributed Compute Labs - Chandler Song (@chandlersyf), founder and CEO of Ankr Network- Greg Osuri (@GregOsuri), founder of Akash Network and CEO of Overclock LabsThey talk about what distributed computing is, why it has so much potential and why this is an exciting time to be involved in the space.The guests talk about what kinds of applications are enabled by distributed computing and how for example, a hospital can leverage the computing power of all of its computers that are sitting idle at night to do medical research.They discuss the different ways to compensate users for the use of their computer resources and the different approaches to distributing problems and tasks to distributed resources. They also discuss the challenges facing their companies and how to think about competing or not competing with incumbents like Amazon and Google.Thanks for listening — if you like what you hear, please review us on your favorite podcast platform. Check us out on the web at villageglobal.vc or get in touch with us on Twitter @villageglobal.Venture Stories is brought to you by Village Global, is hosted by co-founder and partner, Erik Torenberg and is produced by Brett Bolkowy.

This episode of Venture Stories is co-hosted by Dani Grant (@thedanigrant), analyst at USV. She talks with three leaders in the distributed computing space: - Dan Desjardins, CEO of Distributed Compute Labs - Chandler Song (@chandlersyf), founder and CEO of Ankr Network- Greg Osuri (@GregOsuri), founder of Akash Network and CEO of Overclock LabsThey talk about what distributed computing is, why it has so much potential and why this is an exciting time to be involved in the space.The guests talk about what kinds of applications are enabled by distributed computing and how for example, a hospital can leverage the computing power of all of its computers that are sitting idle at night to do medical research.They discuss the different ways to compensate users for the use of their computer resources and the different approaches to distributing problems and tasks to distributed resources. They also discuss the challenges facing their companies and how to think about competing or not competing with incumbents like Amazon and Google.Thanks for listening — if you like what you hear, please review us on your favorite podcast platform. Check us out on the web at villageglobal.vc or get in touch with us on Twitter @villageglobal.Venture Stories is brought to you by Village Global, is hosted by co-founder and partner, Erik Torenberg and is produced by Brett Bolkowy.

Roger Wattenhofer speaks about how Bitcoin and blockchain technology entered academia, what we have learned in the ten years of the existence of blockchain technology, why the blockchain is an old idea, how companies collaborate with universities on blockchain research projects, voting on the blockchain, identity on the blockchain, why "nothing requires a blockchain", the challenge for Bitcoin sidechains, why many academic blockchain projects don't make the jump to the real world, things we're probably underestimating about cryptocurrencies, a thought experiment for bank accounts on a blockchain, how blockchains could improve democracies, and much more. Roger is a full professor at the Information Technology and Electrical Engineering Department at the Swiss Federal Institute of Technology (ETH) in Switzerland. His research interests are a variety of algorithmic and systems aspects in computer science and information technology, such as distributed systems, positioning systems, wireless networks, mobile systems, and social networks. His work received multiple awards, such as the Prize for Innovation in Distributed Computing, and he has also published the book “Distributed Ledger Technology: The Science of the Blockchain“. Roger Wattenhofer: https://www.linkedin.com/in/roger-wattenhofer-4466731/ Distributed Computing (DISCO) at ETH Zurich: https://disco.ethz.ch/members/wroger Book "Distributed Ledger Technology: The Science of the Blockchain": https://www.goodreads.com/book/show/28919062-the-science-of-the-blockchain Many thanks to our advertisers who support this podcast! This episode is brought to you by Crypto Storage. Crypto Storage offers a proprietary solution to enable Professional storage of Crypto Assets. The storage is secure both physically and digitally on the highest-grade hardware security modules with detailed configuration possibilities for individual - based access control. To learn more visit: www.cryptostorage.ch This episode is brought to you by Descartes Finance. Descartes is the leading Swiss digital wealth manager, providing its products and services to individuals, family offices, charitable organizations, banks, and asset managers. Its investment strategies lead the way. They harness the latest know-how as only a digital investment advisor can. To learn more, please visit www.descartes-finance.com.

Holden Karau is on the podcast this week to talk all about Spark and Beam, two open source tools that helps process data at scale, with Mark and Melanie. Holden Karau Holden Karau is a transgender Canadian open source developer advocate @ Google with a focus on Apache Spark, BEAM, and related “big data” tools. She is the co-author of Learning Spark, High Performance Spark, and another Spark book that’s a bit more out of date. She is a commiter on and PMC on Apache Spark and committer on SystemML & Mahout projects. She was tricked into the world of big data while trying to improve search and recommendation systems and has long since forgotten her original goal. Cool things of the week Twitter’s collaboration with Google Cloud blog & tweet Kaggle CERN TrackML Particle Tracking Challenge Competition site Open-sourcing gVisor, a sandboxed container runtime blog & repo Announcing Stackdriver Kubernetes Monitoring blog MLPerf: collaborative effort to standardize ML benchmarks site Interview Spark site & community site Beam site Cloud Dataflow site & docs Cloud Dataproc site & docs Using Spark on Kubernetes Engine blog Testing future Apache Spark releases and changes on Google Kubernetes Engine and Cloud Dataproc blog Spark Packages site Spark testing base repo Flink site Arrow site Upcoming Talks: PyCon 2018 & Debugging PySpark talk Scala Days & Keeping the “fun” in Spark talk Strata London & Understanding Spark tuning with auto-tuning talk J on the Beach & General Purpose Big Data Systems are eating the world talk Spark Summit 2018 & Accelerating TF with Apache Arrow on Spark talk Question of the week I have a continuous integration build process setup with Container Builder, but it’s all sequential. I want to speed things up by processing parts of it in parallel. How do I do that? Configure Build Step Order docs Where can you find us next? Mark can be found streaming Agones development on Twitch. Melanie is speaking at the internet2 Global Summit, May 9th in San Diego, and will also be talking at the Understand Risk Forum on May 17th, in Mexico City. Special shout out: Google I/O and PyCon are both happening this week

Rob and Jason are joined by Kevlin Henney to discuss C++ Patterns and things every programmer should know.   Kevlin Henney is an independent consultant, speaker, writer and trainer. His development interests are in patterns, programming, practice and process. He has been a columnist for a number of magazines and sites, including C++ Report and C/C++ Users Journal, and has been on far too many committees (it has been said that "a committee is a cul-de-sac down which ideas are lured and then quietly strangled"), including the the BSI C++ panel and the ISO C++ standards committee. He is co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series. He is also editor of 97 Things Every Programmer Should Know and the forthcoming 97 Things Every Java Programmer Should Know. He lives in Bristol and online. News Spectre diagnostic in VS 2017 Version 15.7 Preview 4 Microsoft MakeCode: from C++ to TypeScript and Blockly (and Back) Introduction to web development in C++ with WT 4 Kevlin Henney @KevlinHenney Kevlin Henney's Blog Links Pattern-Oriented Software Architecture 97 Things Every Programmer Should Know ACCU 2018 - Kevlin Henney: "Procedural Programming: It's Back? It Never Went Away" Sponsors PVS-Studio JetBrains Hosts @robwirving @lefticus  

Carl Bass is the former CEO of Autodesk - a 3D design company located in San Francisco. As of the time of this interview, Bass was a special adviser to Larry Page and his team at Alphabet (including Google X), as well as adviser to a number of startups working to improve the physical world. Carl Bass: https://en.wikipedia.org/wiki/Carl_Bass Autodesk: https://www.autodesk.com/ Amar Hanspal: https://techcrunch.com/2016/10/17/autodesks-amar-hanspal-talks-about-the-future-of-manufacturing/ Chris Anderson: https://en.wikipedia.org/wiki/Chris_Anderson_(writer) 3D Robotics: https://3dr.com/ Joe Decuir: https://en.wikipedia.org/wiki/Joseph_C._Decuir

Gridcoin is an open-source cryptocurrency that rewards voluntary computing through the BOINC platform. The BOINC platform allows scientific projects in need of distributed computing power to connect with and reward the volunteers who can provide it.Examples of projects that are currently or have in the past been posted on BOINC are scientists attempting to discover cures for HIV/AIDS, cancer, malaria, and Ebola, mapping the Milky Way, and crack Enigma code machines. The platform is free to use, for both scientists with projects and volunteers, and each project is given equal amounts of Gridcoin to rewards its volunteers. Gridcoin can be kept, or traded for other cryptocurrencies and fiat through several centralized or de-centralized exchanges. In the future, Gridcoin hopes to be able to scale to the point where they can list more projects and ultimately reward a greater percentage of their user base. For more information, visit www.gridcoin.us.

The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. In this episode, I talk with Ion Stoica, professor of computer science & director of the RISE Lab at UC Berkeley. Ion joined us after he gave his talk “Building reinforcement learning applications with Ray.” We dive into Ray, a new distributed computing platform for RL, as well as RL generally, along with some of the other interesting projects RISE Lab is working on, like Clipper & Tegra. This was a pretty interesting talk. Enjoy! The notes for this show can be found at twimlai.com/talk/55

In this episode I speak with Paul Chiusano (@pchiusano), creator of Unison, about his ambitious vision for the future, where we can abstract over distributed computing, and there are no apps.

This week on Inspired Edinburgh we have Professor Bill Buchanan OBE.  Professor Buchanan is a Scottish computer scientist who leads the Centre for Distributed Computing and Security at Edinburgh Napier University and The Cyber Academy.  He is a Fellow of the BCS (British Computer Society) and the IET (Institution of Engineering and Technology) and has published 28 academic books and over 200 research papers. As well as regular television and radio appearances, he's been involved in a wide range of innovation and enterprise activities, including three successful spin-out companies, and a raft of awards for teaching, research and innovation.  Additionally, he was awarded an OBE in the 2017 Honours List for services to cyber security. Bill talks about his background, how he got involved in computer science, cyber security, the cloud and so much more!   01.00 Who is Professor Bill Buchanan OBE? 16.00 How has Professor Buchanan remained at the peak of his field? 25.00 How did cyber security become Professor Buchanan’s speciality? 35.00 What are the implications of cyber attacks? 59.00 What has driven Professor Buchanan to be so successful in his field? 1.21.20 What would Professor Buchanan like his legacy to be?   You can find Bill at: https://asecuritysite.com https://twitter.com/billatnapier https://www.linkedin.com/in/billatnapier   Find Inspired Edinburgh here: http://www.inspiredinburgh.com https://www.facebook.com/INSPIREDINBURGH https://www.twitter.com/INSPIREDINBURGH https://www.instagram.com/INSPIREDINBURGH

Moore's Law -- putting more and more transistors on a chip -- accelerated the computing industry by so many orders of magnitude, it has (and continues to) achieve seemingly impossible feats. However, we're now resorting to brute-force hacks to keep pushing it beyond its limits and are getting closer to the point of diminishing returns (especially given costly manufacturing infrastructure). Yet this very dynamic is leading to "a Cambrian explosion" in computing capabilities… just look at what's happening today with GPUs, FPGAs, and neuromorphic chips. Through such continuing performance improvements and parallelization, classic computing continues to reshape the modern world. But we're so focused on making our computers do more that we're not talking enough about what classic computers can't do -- and that's to compute things the way nature does, which operates in quantum mechanics. So our smart machines are really quite dumb, argues Rigetti Computing founder and CEO Chad Rigetti; they're limited to human-made binary code vs. the natural reality of continuous variables. This in turn limits our ability to work on problems that classic computers can't solve, such as key applications in computational chemistry or large-scale optimization for machine learning and artificial intelligence. Which is where quantum computing comes in. But what is quantum computing, really -- beyond the history and the hype? And where are we in reaching the promise of practical quantum computers? (Hint: it will take a hybrid approach to get there.) Who are the players -- companies, countries, types of people/skills -- working on it, and how can a startup compete in this space? Finally, what will it take to get "the flywheel" of application development and discovery going? Part of the answer comes full circle to the same economic engine that drove previous computing advances, argues Chris Dixon; Moore's Law, after all, is more of an economic principle that combined the forces of capitalism, a critical mass of ideas, and people moving things forward by sheer will. Quantum computing is finally getting pulled into the same economic forces as well.

Lyle Shelton joins me from the Australian Christian Lobotomy. Richard Lane explains how an observatory works to study the universe. I bail up Tim Ferguson and Maynard at Skeptics In The Pub.

You might be more familiar with APIs than SOA but they had another meaning not very long ago.

Service Oriented Architecture or SOA for short can mean different things. At the core, is the ability to send a message over a network to an isolated destination for a specific business purpose.

Two-phase and three-phase commits will help you design solutions that need to work across multiple computers.

Computers rely on clocks. They coordinate everything. But the clocks on different computers can be slightly off from each other.

Dividing work between multiple computers is sometimes the best way to solve a problem.

Wearables make a return to the podcast with Philips’ news of a suite of medical-grade devices to measure health. Plus, I give my impressions of the UnderArmor Fitness box after a few months living with it. Kevin Tofel and I also talk about Black Hat and IoT security, including a $9.4 million grant to study … Continue reading Episode 70: Distributed computing comes to the smart home

Diane Bryant, Executive Vice President and General Manager, Data Center Group for Intel Corporation, gives the keynote address at the UC Davis College of Engineering commencement on June 12, 2016.

Rob and Jason are joined by Elena Sagalaeva from Microsoft's Bing Ads team to discuss Distributed Computing with C++.   Elena Sagalaeva is a Russian-born professional C++ developer since 2000. She was primarily a game developer working both for various studios and as an indie developer. She grad uated from the industry while being a tech lead at the head of a small dev team. Elena currently lives in U.S. with her family and works at Microsoft in Bing Ads. Her current interests focus on large scale distributed systems and the development of the C++ language. She has a popular blog on C++ in Russian and she is the author of the famed C++ Lands map. News Introducing the C++ Core Guidelines Red Hat at the ISO C++ Standards Meeting pybind11: Seamless operability between C++11 and Python Elena Sagalaeva Elena Sagalaeva's Blog @alenacpp Links Nexus Wireless Silent Mouse C++11 Lands Map  

Pramod Sharma is the CEO and Co-Founder of the educational/toy company Osmo. He is an engineer who graduated from Stanford and spent 8 years at Google architecting book scanning machines and held senior management roles in Search, Gmail & Distributed Computing before starting Osmo.

In 2000, Eric Brewer presented the CAP Conjecture to the Symposium on Principles of Distributed Computing. This states that a distributed system cannot simultaneously guarantee consistency, availability, and partition tolerance. It can, however, guarantee two of the three. It makes little sense to talk about guaranteeing consistency and availability while sacrificing partition tolerance. Network partitions are going to occur, so we must choose whether we are going to give up consistency or availability when that happens. Mathematical induction is a style of proof whereby you prove the base case (typically N = 1), and then you prove the inductive step (that if it's true for N, it's true for N+1). In programming, mathematical induction is used when writing recursive functions. First, implement the function for the base case. Then, assuming that the function works for smaller cases, reuse it to implement the function for larger ones. Constructors can be used to prove that one thing happens before another, and furthermore that it does not happen again. The constructor is the only method that must be called once, and cannot be called twice. Furthermore, it must be called before any other method of the object. This is a powerful contract that should not be misused.

Aaron and Brian talk with Dave Lester (@davelester, Open Source Advocate at Twitter. Friend of @ApacheMesos, @ApacheAurora) about how Twitter manages large-scale infrastructure, an introduction to Apache Mesos and how projects like Kubernetes, Docker, Aurora are helping to define the next-generation of web-scale infrastructure management. Music Credit: Nine Inch Nails (www.nin.com)

Sometimes using a single computer just won't cut it, and buying time on a supercomputer can be prohibitively expensive. So what do you do next? Tune in and learn more about distributed computing in this podcast. Learn more about your ad-choices at https://news.iheart.com/podcast-advertisers

In dieser Folge erzählen Beat (siehe auch HF-011) und Venty über Cluster, SMP und Distributed Computing. Ausserdem gibts am Schluss der Folge einen kleinen Wettbewerb. Wie schwer war der schwerste Computer, an dem Beat bisher mitgearbeitet hat? Eure Antwort schickt Ihr bis Ende Mai 2009 per Mail an radio@hackerfunk.ch. Trackliste Tonka – Palace Gardens (Loader) Zürisee – Zürisee Lava – Still in Love Aygan – Days so hard daXX – Breeze Nächste Sendung am Samstag, 6. Juni 2009, 19:00 Uhr Beat :: Beats Homepage Beowulf :: The Beowulf Cluster Site Parallel Computing :: Wikipedia Kategorie zum Parallel Computing Top 500 Supercomputer :: Die Top 500 der schnellsten Computer der Welt Clustering 101 :: Alles rund um Cluster und Clustering Folding@HOME :: Offizielle Site zu Folding@HOME bei der Stanford University Swissteam :: Webseite des Distributed Computing Swissteams Rechenkraft :: Umfassende Uebersicht der laufenden Distributed Computing Projekte File Download (61:13 min / 93 MB)

Vorstandsvorsitzender des Rechenkraft.net e.V. über den Verein, Distributed Computing, BOINC und MAGE Links: Website des Rechenkraft.net e.V. MAGE Website (Marburg Ad-hoc Grid Environment)

Gemeinsam sind wir stark! Wir haben diesmal Michael Feiri im Studio. Er wird uns einiges zum Thema "public distributed computing" sagen. Wir werden auf veschiedene Projekte dieser Art eingehen und uns auch näher mit deren Problemen auseinander setzen.

Dave and John spend some time discussing Xgrid and distributed computing in general. Listen in for their guide to getting started with Xgrid and also what you can expect once you're up and running. All this and more on today's episode of the Mac Geek Gab! Show notes for TMO […]