Bohemian novelist and short-story writer (1883â€“1924)
Is real-time data streaming the future, or will batch processing always be with us? Interest in streaming data architecture is booming, but just as many teams are still happily batching away. Batch processing is still simpler to implement than stream processing, and successfully moving from batch to streaming requires a significant change to a team's habits and processes, as well as a meaningful upfront investment. Some are even running dbt in micro batches to simulate an effect similar to streaming, without having to make the full transition. Will streaming ever fully take over?In this episode, Kris talks to a panel of industry experts with decades of experience building and implementing data systems. They discuss the state of streaming adoption today, if streaming will ever fully replace batch, and whether it even could (or should). Is micro batching the natural stepping stone between batch and streaming? Will there ever be a unified understanding on how data should be processed over time? Is the lack of agreement on best practices for data streaming an insurmountable obstacle to widespread adoption? What exactly is holding teams back from fully adopting a streaming model?Recorded live at Current 2022: The Next Generation of Kafka Summit, the panel includes Adi Polak (Vice President of Developer Experience, Treeverse), Amy Chen (Partner Engineering Manager, dbt Labs), Eric Sammer (CEO, Decodable), and Tyler Akidau (Principal Software Engineer, Snowflake).EPISODE LINKSdbt LabsDecodablelakeFSSnowflakeView sessions and slides from Current 2022Stream Processing vs. Batch Processing: What to KnowFrom Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica FineWatch the video version of this podcastKris Jenkins' TwitterStreaming Audio Playlist Join the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Intro to Event-Driven Microservices with ConfluentUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
Whew! So we took a big break over summer (like Bob said, we were just swamped with work.. oof), but we are BACK! and like always we are ready to explore even deeper Java topics for the professional developer. This time we set our sights in Apache Kafka, one of the (if not THE) dominant distributed messaging framework / broker. If you have been integrating webservices, you might have been running into message brokers (and applying Enterprise Integration Patterns), well if so, you most likely have run into Kafka. We dive into "What does Kafka Solve", into what it is (and isn't), and why you should use it (or not use it), and how it differs from traditionalling Messaging systems. In all, this is another episode of "Cloud stuff", and, like you know, that's where everything interesting is at! So have a listen! http://www.javapubhouse.com/datadog We thank DataDogHQ for sponsoring this podcast episode Don't forget to SUBSCRIBE to our cool NewsCast OffHeap! http://www.javaoffheap.com/ Apache Kafka https://kafka.apache.org/ Kafka Quick Start https://developer.confluent.io/quickstart/kafka-on-confluent-cloud/ What IS Apache Kafka https://developer.confluent.io/what-is-apache-kafka/ Apache Kafka Quickstart (With Tim Berglund, Hi!!!) https://kafka.apache.org/quickstart Do you like the episodes? Want more? Help us out! Buy us a beer! https://www.javapubhouse.com/beer And Follow us! https://www.twitter.com/javapubhouse
Streaming real-time data at scale and processing it efficiently is critical to cybersecurity organizations like SecurityScorecard. Jared Smith, Senior Director of Threat Intelligence, and Brandon Brown, Senior Staff Software Engineer, Data Platform at SecurityScorecard, discuss their journey from using RabbitMQ to open-source Apache Kafka® for stream processing. As well as why turning to fully-managed Kafka on Confluent Cloud is the right choice for building real-time data pipelines at scale. SecurityScorecard mines data from dozens of digital sources to discover security risks and flaws with the potential to expose their client' data. This includes scanning and ingesting data from a large number of ports to identify suspicious IP addresses, exposed servers, out-of-date endpoints, malware-infected devices, and other potential cyber threats for more than 12 million companies worldwide.To allow real-time stream processing for the organization, the team moved away from using RabbitMQ to open-source Kafka for processing a massive amount of data in a matter of milliseconds, instead of weeks or months. This makes the detection of a website's security posture risk happen quickly for constantly evolving security threats. The team relied on batch pipelines to push data to and from Amazon S3 as well as expensive REST API based communication carrying data between systems. They also spent significant time and resources on open-source Kafka upgrades on Amazon MSK.Self-maintaining the Kafka infrastructure increased operational overhead with escalating costs. In order to scale faster, govern data better, and ultimately lower the total cost of ownership (TOC), Brandon, lead of the organization's Pipeline team, pivoted towards a fully-managed, cloud-native approach for more scalable streaming data pipelines, and for the development of a new Automatic Vendor Detection (AVD) product. Jared and Brandon continue to leverage the Cloud for use cases including using PostgreSQL and pushing data to downstream systems using CSC connectors, increasing data governance and security for streaming scalability, and more.EPISODE LINKSSecurityScorecard Case StudyBuilding Data Pipelines with Apache Kafka and ConfluentWatch the video version of this podcastKris Jenkins' TwitterStreaming Audio Playlist Join the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Intro to Event-Driven Microservices with ConfluentUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
An airhacks.fm conversation with Daniel Kec (@danielkec) about: Daniel previously on airhacks.fm in "#120 Reactive Programming, Helidon, Kafka and Project Loom", helidon project “warp” becomes Helidon Nima, Project Loom on Jersey, obstructing virtual threads, yielding a virtual thread, throttling the concurrency, the future of reactive programming, the Helidon book, websocketstream spec, Streams API, Event Sourcing with Oracle database and helidon, helidon on AWS Lambda, AWS serverless container, OCI JDBC vs. OCI Cloud, JEP 290: Filter Incoming Serialization Data, LRA implementation by Helidon, Long Running Actions with Helidon, Goran Opacic on LRA in "#210 The Cloud is Slower Than Your Local Machine", LRA is about compensation, Transaction Manager for Microservices, FN Java, Helidon modular routing, Helidon is using Jersey, Daniel Kec on twitter: @danielkec
Jest tylko jedno takie miejsce, gdzie Kafka spotyka Orwella, a swoją rezydencję miał zarówno Hermann Göring, jak i Władimir Putin. W czasie istnienia ZSRR Obwód Kaliningradzki był jednym z najbardziej zmilitaryzowanych regionów państwa. Później wydawał się szansą na zbliżenie z Europą, która była tuż obok. A dzisiaj, po inwazji na Ukrainę? Czym jest Obwód Kaliningradzki i jak patrzą na niego Rosjanie? (Początek rozmowy: 18'27")
Can tragedy open the door to spiritual communication? Maybe it's closer than you think. Joe McQuillen joins us with a heartfelt conversation sharing how the spirit world opened for him after his son died, and the amazing messages he receives. In episode 169: Finding purpose through tragedy; The loss of a child; First mediumship experience; The spiritual path; Communicating with the other side; Letting go of resentment; Rituals for spirit communication; Being prepped for life purpose; The greatest gift; What is it like on the other side? And more... Reference: My Search for Christopher on the Other Side by Joe McQuillen, We're Not Done Yet, Pop: My Lessons from the Other Side by Joe McQuillen, The Shack by Wm. Paul Young, What Dreams May Come, starring Robin Williams and Cuba Gooding Jr., Lilydale, NY https://www.lilydaleassembly.org/, Bridging Two Realms by John Holland, Kafka on the Shore by Haruki Murakami Visit Joe at https://www.joemcquillen.net/ If you enjoyed this conversation and wish to support our podcast, please like, comment and share our channel. Contributions (any amount) can be made to https://paypal.me/thoughtchange. Thank you! We appreciate your support! Exploring the Mystical Side of Life is now on Instagram at https://www.instagram.com/exploringthemysticalsideoflife/ Visit Linda Lang at https://ThoughtChange.com Instagram: https://www.instagram.com/thoughtchange123 Twitter: https://twitter.com/ThoughtChange1 YouTube ThoughtChange: https://bit.ly/3kLyGVa ThoughtChange on Facebook: https://www.facebook.com/linda.lang.thoughtchange --- Send in a voice message: https://anchor.fm/thoughtchange/message
Barbra Gago is the founder and CEO of Pando, where she's democratizing career progression. Previously she worked as the Chief Marketing Officer and Global Head of Marketing at Miro, where she helped create an entirely new software category for the space, and also served as VP of Marketing at Greenhouse, where she led go-to-market strategy. In today's episode, we cover three main topics: category creation, branding and rebranding, and building opinionated software. Barbra discusses how she was able to rebrand Miro and launch a whole new category—and why her attempt to do that at Greenhouse failed. We cover the benefits of building your own category, and when it makes sense to do so and when it doesn't. She also shares the importance of getting to know your users, why a great brand is informed by its values, and why Pando is built in an opinionated way.—Where to find Barbra Gago:• Twitter: https://twitter.com/barbragago• LinkedIn: https://www.linkedin.com/in/barbragago• Pando: https://www.pando.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• Twitter: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—Thank you to our wonderful sponsors for making this episode possible:• Stytch: https://stytch.com/lenny• Assembly: https://www.assemblyai.com/• Vanta: https://vanta.com/lenny—Referenced:• G2: https://g2.com/• Software Advice: https://www.softwareadvice.com/• Marketo: https://www.marketo.com/• HubSpot: https://www.hubspot.com/• Gainsight: https://www.gainsight.com/• Greenhouse: https://www.greenhouse.io/• Miro: https://miro.com/• Gartner: https://www.gartner.com/• Forrester: https://www.forrester.com/research/product-management/• Oyster: https://www.oysterhr.com/• Deel: https://www.deel.com/• Atlassian: https://www.atlassian.com/• Radical Candor: Be a Kick-Ass Boss Without Losing Your Humanity: https://www.amazon.com/Radical-Candor-Revised-Kick-Ass-Humanity/dp/1250235375• The Art of War: https://www.amazon.com/Art-War-Sun-Tzu/dp/1590302257• Kafka on the Shore: https://www.amazon.com/Kafka-Shore-Haruki-Murakami/dp/0099458322• Cautionary Tales podcast: https://timharford.com/articles/cautionarytales/• The Sandman on Netflix: https://www.netflix.com/title/81150303• Nancy Duarte on LinkedIn: https://www.linkedin.com/in/nancyduarte/• Al Gore's TED Talk: https://www.ted.com/talks/al_gore_the_new_urgency_of_climate_change—In this episode, we cover:(04:04) Barbra's background(05:06) Barbra's startup(06:07) Category creation vs. winning in existing categories(07:49) What is an applicant tracking system, and why have they been problematic?(09:57) What is a product category?(13:06) Examples of product categories(14:05) Greenhouse as an example of failed category creation (16:46) How Miro successfully created a new category(18:37) Utilizing user feedback(21:15) The mechanics of category creation(21:22) How to advocate for your new category with directory sites(25:53) The middle ground between new and existing categories(29:37) When is it time to rebrand?(38:51) How to create a lasting, global brand(41:18) How values inform brands(43:13) Insights into developing company values(44:24) The elements of a brand(46:37) What is opinionated software?(47:57) The benefits of opinionated software, and why Barbra's software is opinionated(51:23) Lightning round—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email firstname.lastname@example.org. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe
When reading a crime novel, we usually learn the crime within the first few page turns; the trick is discovering the perpetrator. Perhaps this is what makes Franz Kafka's 1914 book The Trial so haunting—the crime itself is never revealed. Kafka was born in the Austro-Hungarian Empire in 1883 and died in 1924, never experiencing the Nazis or Hitler's totalitarian rise to power. Yet his book seems to prophesize the most dangerous aspects of unchecked bureaucracy, legal systems, and arbitrary power. Columbia University Professor Mark Anderson discusses the legacy of Franz Kafka and how his brutal and terrifying novel helped birth the term “Kafkaesque.” Mark Anderson is the Director of Undergraduate Germanic Studies and a Professor of Germanic Languages at Columbia University. He is the author of books such as Kafka's Clothes and Reading Kafka: Prague, Politics and the Fin de Siecle. See more information on our website, WritLarge.fm. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/literary-studies
When reading a crime novel, we usually learn the crime within the first few page turns; the trick is discovering the perpetrator. Perhaps this is what makes Franz Kafka's 1914 book The Trial so haunting—the crime itself is never revealed. Kafka was born in the Austro-Hungarian Empire in 1883 and died in 1924, never experiencing the Nazis or Hitler's totalitarian rise to power. Yet his book seems to prophesize the most dangerous aspects of unchecked bureaucracy, legal systems, and arbitrary power. Columbia University Professor Mark Anderson discusses the legacy of Franz Kafka and how his brutal and terrifying novel helped birth the term “Kafkaesque.” Mark Anderson is the Director of Undergraduate Germanic Studies and a Professor of Germanic Languages at Columbia University. He is the author of books such as Kafka's Clothes and Reading Kafka: Prague, Politics and the Fin de Siecle. See more information on our website, WritLarge.fm. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/german-studies
When reading a crime novel, we usually learn the crime within the first few page turns; the trick is discovering the perpetrator. Perhaps this is what makes Franz Kafka's 1914 book The Trial so haunting—the crime itself is never revealed. Kafka was born in the Austro-Hungarian Empire in 1883 and died in 1924, never experiencing the Nazis or Hitler's totalitarian rise to power. Yet his book seems to prophesize the most dangerous aspects of unchecked bureaucracy, legal systems, and arbitrary power. Columbia University Professor Mark Anderson discusses the legacy of Franz Kafka and how his brutal and terrifying novel helped birth the term “Kafkaesque.” Mark Anderson is the Director of Undergraduate Germanic Studies and a Professor of Germanic Languages at Columbia University. He is the author of books such as Kafka's Clothes and Reading Kafka: Prague, Politics and the Fin de Siecle. See more information on our website, WritLarge.fm. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network
What are some recommendations to consider when running Apache Kafka® in production? Jun Rao, one of the original Kafka creators, as well as an ongoing committer and PMC member, shares the essential wisdom he's gained from developing Kafka and dealing with a large number of Kafka use cases.Here are 6 recommendations for maximizing Kafka in production:1. Nail Down the Operational PartWhen setting up your cluster, in addition to dealing with the usual architectural issues, make sure to also invest time into alerting, monitoring, logging, and other operational concerns. Managing a distributed system can be tricky and you have to make sure that all of its parts are healthy together. This will give you a chance at catching cluster problems early, rather than after they have become full-blown crises. 2. Reason Properly About Serialization and Schemas Up FrontAt the Kafka API level, events are just bytes, which gives your application the flexibility to use various serialization mechanisms. Avro has the benefit of decoupling schemas from data serialization, whereas Protobuf is often preferable to those practiced with remote procedure calls; JSON Schema is user friendly but verbose. When you are choosing your serialization, it's a good time to reason about schemas, which should be well-thought-out contracts between your publishers and subscribers. You should know who owns a schema as well as the path for evolving that schema over time.3. Use Kafka As a Central Nervous System Rather Than As a Single ClusterTeams typically start out with a single, independent Kafka cluster, but they could benefit, even from the outset, by thinking of Kafka more as a central nervous system that they can use to connect disparate data sources. This enables data to be shared among more applications. 4. Utilize Dead Letter Queues (DLQs)DLQs can keep service delays from blocking the processing of your messages. For example, instead of using a unique topic for each customer to which you need to send data (potentially millions of topics), you may prefer to use a shared topic, or a series of shared topics that contain all of your customers. But if you are sending to multiple customers from a shared topic and one customer's REST API is down—instead of delaying the process entirely—you can have that customer's events divert into a dead letter queue. You can then process them later from that queue.5. Understand Compacted TopicsBy default in Kafka topics, data is kept by time. But there is also another type of topic, a compacted topic, which stores data by key and replaces old data with new data as it comes in. This is particularly useful for working with data that is updateable, for example, data that may be coming in through a change-data-capture log. A practical example of this would be a retailer that needs to update prices and product descriptions to send out to all of its locations. 6. Imagine New Use Cases Enabled by Kafka's Recent Evolution The biggest recent change in Kafka's history is its migration to the cloud. By using Kafka there, you can reserve your engineering talent for business logic. The unlimited storage enabled by the cloud also means that you can truly keep data forever at reasonable cost, and thus you don't have to build a separate system for your historical data needs.EPISODE LINKSKafka Internals 101 Watch in videoKris Jenkins' TwitterUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
Hoy hablamos de Judith Butler, una pensadora estadounidense que el próximo miércoles va a dar una conferencia sobre Kafka y Nietzsche en el paraninfo de la Universidad Complutense de Madrid y que el jueves va a recibir la Medalla de Oro del Círculo de Bellas Artes. Una autora que firma la obra El género en disputa a la que hoy nos acerca nuestro hombre de las cuestiones filosóficas: Toño Fraguas. Escuchar audio
In this episode we are discussing Franz Kafka's The Trial; written in 1914 but not published until 1925. This is an incredible and seminal work in modern literature and should be read by everyone. In this episode we talk about: - The style of a story that puts the audience in touch with the feelings of a character - If you don't know what you have done wrong than everything comes to mind and it is paralyzing and demoralizing - Bureaucracy as modern tyranny - The importance of trust in society - The bullet or the knife are never relative - Jostling and career maneuvering as the primary reason for people in these industries, not the betterment of the people they are "helping" - Irrelevancy is the bureaucrats kryptonite; and they will do anyting to avoid that - Why even have options? We really appreciate everyone who listens. Please feel free to support the show by giving a rating or review on whatever platform you listen to it. Email: email@example.com Direct download: https://reallytruefiction.libsyn.com/
Is it possible to build a real-time data platform without using stateful stream processing? Forecasty.ai is an artificial intelligence platform for forecasting commodity prices, imparting insights into the future valuations of raw materials for users. Nearly all AI models are batch-trained once, but precious commodities are linked to ever-fluctuating global financial markets, which require real-time insights. In this episode, Ralph Debusmann (CTO, Forecasty.ai) shares their journey of migrating from a batch machine learning platform to a real-time event streaming system with Apache Kafka® and delves into their approach to making the transition frictionless. Ralph explains that Forecasty.ai was initially built on top of batch processing, however, updating the models with batch-data syncs was costly and environmentally taxing. There was also the question of scalability—progressing from 60 commodities on offer to their eventual plan of over 200 commodities. Ralph observed that most real-time systems are non-batch, streaming-based real-time data platforms with stateful stream processing, using Kafka Streams, Apache Flink®, or even Apache Samza. However, stateful stream processing involves resources, such as teams of stream processing specialists to solve the task. With the existing team, Ralph decided to build a real-time data platform without using any sort of stateful stream processing. They strictly keep to the out-of-the-box components, such as Kafka topics, Kafka Producer API, Kafka Consumer API, and other Kafka connectors, along with a real-time database to process data streams and implement the necessary joins inside the database. Additionally, Ralph shares the tool he built to handle historical data, kash.py—a Kafka shell based on Python; discusses issues the platform needed to overcome for success, and how they can make the migration from batch processing to stream processing painless for the data science team. EPISODE LINKSKafka Streams 101 courseThe Difference Engine for Unlocking the Kafka Black BoxGitHub repo: kash.pyWatch the video version of this podcastKris Jenkins' TwitterStreaming Audio Playlist Join the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Intro to Event-Driven Microservices with ConfluentUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
Days Left On Earth: 17510 Franz Kafka was one of the 20th century's great novelists. His short story ‘Before the law' gave me so much courage that I wanted to share it with you.For this episode, I will read this short story and then look at the reflection I wrote in my journal.What does Kafka's parable mean to me?The man wants to be handed the law on a plate. He is posturing to be let in but, deep down, does not have the spirit to make a move. To risk failure and open himself to bigger, meaner gatekeepers. So he sits and waits - hoping for someone or something to gift him entry. All his attention is focused on the first challenge, and he can longer see the wood for the trees. He waits.When in truth - these obstacles in life are meant just for us. No one else. No one invites us in. There is never a perfect moment,They are our gatekeepers. And we must take action even when it scares us, or we will never know what's on the other side.My big gatekeeper was alcohol.For years I waited outside waiting to be welcomed in. I even wished a soft-rock bottom that did not hurt too much would force me past the gatekeeper.Back then, I did not have the courage to take action.Then after years of waiting, unlike the man, I forced my way past the gatekeeper and found my courage on the other side.Once inside, I found another bigger, scarier gatekeeper.I wanted to leave the broking world, but everyone thought it impossible. No one gets past the gatekeeper with the golden handcuffs.Until I did.The great insight is that your challenges are unique to you, but in taking action in the face of fear, you grow stronger and more resilient. Which builds the momentum to get past the next gatekeeper.One last thing.The gatekeepers are never-ending.Or, as Ryan Holiday says, “behind the mountains are more mountains.'Happiness is found trying to climb them.
In this episode of Kubernetes Bytes, Bhavin and Ryan talk with Vishnu Korde, CEO and Chief Architect of StackOS. The hosts explore the topic of "DeCloud" or decentralized cloud which aims to create anonymity through the use of cross-chain open protocols allowing individuals and organizations to create a decentralized computing layer for the internet allowing teams to bypass traditional infrastructure management and cloud compute silos. Learn how Vishnu's company StackOS is tackling this problem and how they are using Kubernetes as a orchestration layer to provide application deployment into this DeCloud. Cloud Native Data News of the Week Security Slam CNCF :https://community.cncf.io/events/details/cncf-cloud-native-security-slam-presents-security-slam-presented-by-cncf-sonatype-maintainer-sign-up IBM Doubles down 5 Years of Postgres on K8s Lucidity Introduces Autonomous Storage Orchestration Solution The Global Cloud Native Storage Market size is expected to reach $41.9 billion by 2028, rising at a market growth of 22.3% CAGR during the forecast period : CAGR - https://www.gartner.com/en/information-technology/glossary/cagr-compound-annual-growth-rate Kafka 3.3 : https://blogs.apache.org/kafka/entry/what-rsquo-s-new-in Hosted Control Plane - https://thenewstack.io/hosted-control-planes-bring-extra-power-and-more-cost-control/ InfluxDB Cloud and Telegraf with K3s - https://thenewstack.io/how-to-monitor-kubernetes-k3s-using-telegraf-and-influxdb-cloud/ StackOS Links https://docs.stackos.io/stackos-docs https://www.stackos.io/ litepaper: https://docsend.com/view/wq7qxzjk7zsd3wph docs: https://docs.stackos.io/stackos-docs/ Youtube channel: https://www.youtube.com/c/StackOS/videos discord link: https://discord.gg/g2uxZdkNH8 telegram link: https://t.me/StackOS app: https://app.stackos.io/
Java Virtual Machines (JVMs) impact Apache Kafka® performance in production. How can you optimize your event-streaming architectures so they process more Kafka messages using the same number of JVMs? Gil Tene (CTO and Co-Founder, Azul) delves into JVM internals and how developers and architects can use Java and optimized JVMs to make real-time data pipelines more performant and more cost effective, with use cases.Gil has deep roots in Java optimization, having started out building large data centers for parallel processing, where the goal was to get a finite set of hardware to run the largest possible number of JVMs. As the industry evolved, Gil switched his primary focus to software, and throughout the years, has gained particular expertise in garbage collection (the C4 collector) and JIT compilation. The OpenJDK distribution Gil's company Azul releases, Zulu, is widely used throughout the Java world, although Azul's Prime build version can run Kafka up to forty-percent faster than the open version—on identical hardware. Gil relates that improvements in JVMs aren't yielded with a single stroke or in one day, but are rather the result of many smaller incremental optimizations over time, i.e. "half-percent" improvements that accumulate. Improving a JVM starts with a good engineering team, one that has thought significantly about how to make JVMs better. The team must continuously monitor metrics, and Gil mentions that his team tests optimizations against 400-500 different workloads (one of his favorite things to get into the lab is a new customer's workload). The quality of a JVM can be measured on response times, the consistency of these response times including outliers, as well as the level and number of machines that are needed to run it. A balance between performance and cost efficiency is usually a sweet spot for customers.Throughout the podcast, Gil goes into depth on optimization in theory and practice, as well as Azul's use of JIT compilers, as they play a key role in improving JVMs. There are always tradeoffs when using them: You want a JIT compiler to strike a balance between the work expended optimizing and the benefits that come from that work. Gil also mentions a new innovation Azul has been working on that moves JIT compilation to the cloud, where it can be applied to numerous JVMs simultaneously.EPISODE LINKSA Guide on Increasing Kafka Event Streaming PerformanceBetter Kafka Performance Without Changing Any CodeWatch the video version of this podcastKris Jenkins' TwitterStreaming Audio Playlist Join the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Intro to Event-Driven Microservices with ConfluentUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
Stacy and Erin sit down with Jeremy Feldman and Scott Kafka of Lively Charleston to learn how the guys started their real estate business and launched a media company to highlight “cool people, doing cool things”. Stacy and Jeremy bond over their love of Tony Robbins and the four compare and contrast how they run their teams. Plus, they weigh in on what the future holds for the Charleston Real Estate Market and have a laugh assigning “superlatives” to each of the unique Charleston suburbs. Check Out Lively Charleston by going to: https://www.livelycharleston.com Today's episode is brought to you by Nick Cann Photo Find Out More at: nickcannphoto.com
Bet The Board FREE Newsletter with more Content & Advice. Sign Up Here: bit.ly/3wzsjvr Geno Smith in defeat played his butt off and while Rashad Penny's season is over, Seattle appears like a threat in NFC West. Pivoting to the rest of what we saw for NFL Week 5 there comes a level of surprise in many results. Philadelphia sneaks past Arizona due to Cardinals incompetence late. Dallas had fortunate luck early to score and defensively dismantled McVay and the rams. Daboll, Kafka, and Daniel Jones made noise across the pond in London as the Giants battle back. Josh Allen is the clear leader of MVP pack. His numbers were ridiculous on Sunday again and he did damage with some painful crosswind that hinders most quarterbacks. Denver and Indianapolis Thursday night was a brilliant display of defense across the board ... unless it wasn't. We'll let you stew on it, but we have our own thoughts. Chargers caught a break in Cleveland thanks to Jacoby Brissett's late interception and York missing a game-winning field goal, but Brandon Staley should be getting more heat. If you have any doubts, go read a few Keenan Allen tweets. ▶️ Monday Night Football: Raiders vs Chiefs Preview (53:40) ▶️ GOOD (1:40) ▶️ BAD (19:04) ▶️ UGLY (26:50) Defensive Wizardry Sunday Night Josh Allen Wingin' in the Wind Chargers Ground Game Bears show ... fight! Daboll, Jones, & Kafka Jet's Fly High Jimmy G Proving Doubters Wrong Packers 2H Performance Trevor Lawrence YUCK! Cardinals Clock Management Thursday Night Slop Fest ▶️ NFL Week 6 Look Ahead Lines (35:55) ▶️ HURT or INJURED? (40:51) Subscribe to Bet The Board Podcast
Jack is by himself as he makes his way to meet up with David and brings along with him "The Milkman of St. Gaff's" episodes one and two! Lovecraft meets Kafka in this serialized fantasy/horror podcast about Howie, a troubled young man who joins the milkmen on the island of St. Gaff's, only to discover that the milkmen harbor a dark and dangerous secret! Learn more about your ad choices. Visit megaphone.fm/adchoices
Jack is by himself as he makes his way to meet up with David and brings along with him "The Milkman of St. Gaff's" episodes one and two! Lovecraft meets Kafka in this serialized fantasy/horror podcast about Howie, a troubled young man who joins the milkmen on the island of St. Gaff's, only to discover that the milkmen harbor a dark and dangerous secret! Learn more about your ad choices. Visit megaphone.fm/adchoices
Sign up for Intelligence Squared Premium here: https://iq2premium.supercast.com/ for ad-free listening, bonus content, early access and much more. See below for details. Anders wakes up one day to find that his skin has turned dark. Soon it transpires that this is happening to people all over the land, leading first to panic which then turns into an upheaval in establishment, power, and compassion. In this Kafka-esque tale, award-winning Pakistani author Mohsin Hamid explores how we as a society define the concepts and structures of race, and how much in turn we let them define us. To delve deeper into The Last White Man, Mohsin Hamid joins us on the podcast, in conversation with BBC broadcaster Razia Iqbal. … We are incredibly grateful for your support. To become an Intelligence Squared Premium subscriber, follow the link: https://iq2premium.supercast.com/ Here's a reminder of the benefits you'll receive as a subscriber: Ad-free listening, because we know some of you would prefer to listen without interruption One early episode per week Two bonus episodes per month A 25% discount on IQ2+, our exciting streaming service, where you can watch and take part in events live at home and enjoy watching past events on demand and without ads A 15% discount and priority access to live, in-person events in London, so you won't miss out on tickets Our premium monthly newsletter Intelligence Squared Merch Learn more about your ad choices. Visit megaphone.fm/adchoices
00:00 intro 3:10 Evan Neal 6:30 More impressed w/ Wink or Kafka 14:15 OBJ Return? 28:22 Landon Collins 30:55 Dexter Lawrence 36:40 Need for more dropback passing 46:30 Tae Crowder 52:45 Andrew Thomas 57:20 CB2 movement 59:43 13 personnel This episode was brought to you by SeatGeek Check out https://ridge.com/jomboy & use code JOMBOY to get 10% off Use code GIANTS to get 20% off + free shipping at https://manscaped.com Get in on the action with DraftKings Sportsbook and use promo code JOMBOY when signing up so they know we sent you! https://dkng.co/jomboy If you or someone you know has a gambling problem, crisis counseling and referral services can be accessed by calling 1-800-GAMBLER (1-800-426-2537) (IL/IN/MI/NJ/PA/WV/WY), 1-800-NEXTSTEP (AZ), 1-800-522-4700 (CO/NH), 888-789-7777/ visit http://ccpg.org/chat (CT), 1-800-BETS OFF (IA), 1-877-770-STOP(7867) (LA), 877-8-HOPENY/text HOPENY (467369) (NY), visit OPGR.org (OR), call/text TN REDLINE 1-800-889-9789 (TN), or 1-888-532-3500 (VA). 21+ (18+ WY). Physically present in AZ/CO/CT/IL/IN/IA/LA/MI/NJ/NY/PA/TN/VA/WV/WY only. New customers only. Min. $5 deposit required. Eligibility restrictions apply and product offerings vary by state. See http://draftkings.com/sportsbook for details.
#168 Tem Gonzaguinha, tem Sá, Rodrix e Guarabyra, Mestre Jonas e a Rapaziada. Invocamos 1968 e a batalha dos estilos, novo contra o antigo, futuro versus passado em Porto Rico, 20 anos antes do Fabinho fazer história era o Fred Hemmings que bagunçava o coreto. Circuito mundial como centro de acolhimento dos desajustados, bomba hercúlea no Oceano Atlântico, Nordeste nos salvando e Tio Nick fazendo cosplay de integrante do Boia. De um certo ponto adiante não há mais retorno. Esse é o ponto que deve ser alcançado. Não sei se foi Kafka ou o Luxemburgo que falou isso. --- Send in a voice message: https://anchor.fm/boia/message
@careym74 Joins the guys in The Giants Zone to recap the big win over the Chicago Bears; Wink and the Defense; The brilliance of Kafka and the playcalling; Daboll's leadership as HC, etc. #NYGiants #Giants #DanielJones #Wink #Bears #NFL #KennyGolliday #Saquon #SaquonBarkley
An airhacks.fm conversation with Goran Opacic (@goranopacic) about: what is a database, everything is a database, S3 queries with Athena, glue crawler on S3, Cloudflare Quiche, Kafka vs. Kinesis, proprietary managed AWS services, different writing and reading paths, openJDK CRaC (Coordinated Restore at Checkpoint), Oracle's Aurora JVM, Amazon Aurora Serverless, the cloud is slower than your local machine, scaling is about limits, AQUA (Advanced Query Accelerator), CQRS is a cloud-native pattern, CDC on premise and in the cloud Goran Opacic on twitter: @goranopacic
How do you set data applications in motion by running stateful business logic on streaming data? Capturing key stream processing events and cumulative statistics that necessitate real-time data assessment, migration, and visualization remains as a gap—for event-driven systems and stream processing frameworks according to Fred Patton (Developer Evangelist, Swim Inc.) In this episode, Fred explains streaming applications and how it contrasts with stream processing applications. Fred and Kris also discuss how you can use Apache Kafka® and Swim for a real-time UI for streaming data.Swim's technology facilitates relationships between streaming data from distributed sources and complex UIs, managing backpressure cumulatively, so that front ends don't get overwhelmed. They are focused on real-time, actionable insights, as opposed to those derived from historical data. Fred compares Swim's functionality to the speed layer in the Lambda architecture model, which is specifically concerned with serving real-time views. For this reason, when sending your data to Swim, it is common to also send a copy to a data warehouse that you control. Web agent—a data entity in the Swim ecosystem, can be as small as a single cellphone or as large as a whole cellular network. Web agents communicate with one another as well as with their subscribers, and each one is a URI that can be called by a browser or the command line. Swim has been designed to instantaneously accommodate requests at widely varying levels of granularity, each of which demands a completely different volume of data. Thus, as you drill down, for example, from a city view on a map into a neighborhood view, the Swim system figures out which web agent is responsible for the view you are requesting, as well as the other web agents needed to show it.Fred also shares an example where they work with a telephony company that requires real-time statuses for a network infrastructure with thousands of cell towers servicing millions of devices. Along with a use case for a transportation company needing to transform raw edge data into actionable insights for its connected vehicle customers. Future plans for Swim include porting more functionality to the cloud, which will enable additional automation, so that, for example, a customer just has to provide database and Kafka cluster connections, and Swim can automatically build out infrastructure. EPISODE LINKSSwim Cellular Network SimulatorContinuous Intelligence - Streaming Apps That Are Always in SyncUsing Swim with Apache KafkaSwim DeveloperWatch the video version of this podcastKris Jenkins' TwitterStreaming Audio Playlist Join the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Intro to Event-Driven Microservices with ConfluentUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
Apache Kafka® 3.3 is released! With over two years of development, KIP-833 marks KRaft as production ready for new AK 3.3 clusters only. On behalf of the Kafka community, Danica Fine (Senior Developer Advocate, Confluent) shares highlights of this release, with KIPs from Kafka Core, Kafka Streams, and Kafka Connect. To reduce request overhead and simplify client-side code, KIP-709 extends the OffsetFetch API requests to accept multiple consumer group IDs. This update has three changes, including extending the wire protocol, response handling changes, and enhancing the AdminClient to use the new protocol. Log recovery is an important process that is triggered whenever a broker starts up after an unclean shutdown. And since there is no way to know the log recovery progress other than checking if the broker log is busy, KIP-831 adds metrics for the log recovery progress with `RemainingLogsToRecover` and `RemainingSegmentsToRecover`for each recovery thread. These metrics allow the admin to monitor the progress of the log recovery.Additionally, updates on Kafka Core also include KIP-841: Fenced replicas should not be allowed to join the ISR in KRaft. KIP-835: Monitor KRaft Controller Quorum Health. KIP-859: Add metadata log processing error-related metrics. KIP-834 for Kafka Streams added the ability to pause and resume topologies. This feature lets you reduce rescue usage when processing is not required or modifying the logic of Kafka Streams applications, or when responding to operational issues. While KIP-820 extends the KStream process with a new processor API. Previously, KIP-98 added support for exactly-once delivery guarantees with Kafka and its Java clients. In the AK 3.3 release, KIP-618 offers the Exactly-Once Semantics support to Confluent's source connectors. To accomplish this, a number of new connectors and worker-based configurations have been introduced, including `exactly.once.source.support`, `transaction.boundary`, and more. Image attribution: Apache ZooKeeper™: https://zookeeper.apache.org/ and Raft logo: https://raft.github.io/ EPISODE LINKSSee release notes for Apache Kafka 3.3.0 and Apache Kafka 3.3.1 for the full list of changesRead the blog to learn moreDownload Apache Kafka 3.3 and get startedWatch the video version of this podcast
VLOG of 9/30/22: US v. Milton trial nears end (& #AmericanGreed, and booklet); US v. Barrack damning exhibits of agent, Kafka-esque access problems; UN hits new low, no questions for Big Tony on #Ukraine
What's your favorite podcast? Would you like to find some new ones? In celebration of International Podcast Day, Kris Jenkins invites 12 experts from the Apache Kafka® community to talk about their favorite podcasts. Unlike other episodes where guests educate developers and tell stories about Kafka, its surrounding technological ecosystem, or the Cloud, this special episode provides a glimpse into what these guests have learned through listening to podcasts that you might also find interesting. Through a virtual international tour, Kris chatted with Bill Bejeck (Integration Architect, Confluent), Nikoleta Verbeck (Senior Solutions Engineer, CSID, Confluent), Ben Stopford (Lead Technologist, OCTO, Confluent), Noelle Gallagher (Video Producer, Editor), Danica Fine (Senior Developer Advocate, Confluent), Tim Berglund (VP, Developer Relations, StarTree), Ben Ford (Founder and CEO, Commando Development), Jeff Bean (Group Manager, Technical Marketing, Confluent), Domenico Fioravanti (Director of Engineering, Therapie Clinic), Francesco Tisiot (Senior Developer Advocate, Aiven), Robin Moffatt (Principal, Developer Advocate, Confluent), and Simon Aubury (Principal Data Engineer, ThoughtWorks). They share recommendations covering a wide range of topics such as building distributed systems, travel, data engineering, greek mythology, data mesh, economics, and music and the arts. EPISODE LINKSCommon Apache Kafka Mistakes to AvoidFlink vs Kafka Streams/ksqlDBWhy Data Mesh ft. Ben StopfordPractical Data Pipeline ft. Danica FineWhat Could Go Wrong with a Kafka JDBC Connector?Intro to Kafka Connect: Core Components and Architecture ft. Robin MoffattServerless Stream Processing with Apache Kafka ft. Bill BejeckScaling an Apache Kafka-Based Architecture at Therapie ClinicEvent-Driven Systems and Agile OperationsReal-Time Stream Processing, Monitoring, and Analytics with Apache KafkaWatch the video version of this podcastKris Jenkins' TwitterStreaming Audio Playlist Join the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
In this latest edition of "shortcut to the classics," the boys review Czechvar Lager, then review The Metamorphosis. Special guest Longinus joins the show to contribute his literary expertise. After a very brief biography of Kafka, the boys review the characters, the basic plot, and the structure of the book, then delve into its possible meanings. Gregor, the main character, wakes up one morning as a bug, with predictable but rather amusing consequences for his job and his family. In some ways, the story sounds like something a 5th grader would dream up. But there are interesting layers of meaning in the text, and plenty to think about. Pigweed, Crowhill, and Longinus discuss a few possible interpretations of the story.
Transcript: https://wearenotsaved.com/2022/09/28/the-bifurcation-created-by-technology/ This episode started as a tweet: Technology bifurcates problems. 99% of problems go away, but the 1% that are left are awful. Case in point customer service: 99% of the time you don't even need customer service from Amazon, etc. but the 1% of the time you do you're suddenly in a story by Kafka. Which I followed up with: Additional thoughts/example: Self driving cars. Tech can take care of easiest 99%. Tosses most difficult 1% back to driver. Driver has no context, just suddenly in deep end, therefore much worse at hardest 1% than if they had just dealt with the full 100% from start. What causes this phenomenon and how worried should we be?
Dan and Nick break down the All-22 coaches film of the Giants' Week 3 loss to the Cowboys on the offensive side of the ball. They discuss Daniel Jones' game on film, what Mike Kafka and DJ did to adjust to constant pressure, why they were OK with such a pass heavy game plan, Evan Neal's performance, Andrew Thomas' dominance and a whole lot more. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Find the whole text here https://www.gutenberg.org/ebooks/5200 Find LitVic on Twitter! @HoratioVictor Always looking for more suggestions for the lit stuff, someone suggested this several months ago and we bore it out! We are joined by LitVic for a literature episode, looking at the puzzling tale of the guy who gets turned into a bug. Find the whole text here https://www.gutenberg.org/ebooks/5200 Find LitVic on Twitter! @HoratioVictor Missed any eps? Want to support the podcast? join us at www.patreon.com/plasticpills
durée : 00:58:45 - Les Cours du Collège de France - par : Merryl Moneghetti - Qu'est-ce qui lie le poète romain Virgile, au 1er siècle av. JC avec les romanciers Kafka et Broch, contemporains du tragique et du désenchantement du XXe siècle ? demande Antoine Compagnon. Quelle coloration essentielle, la mort donne-t-elle au style tardif des grands artistes, selon Georg Simmel ? - invités : Antoine Compagnon Professeur au Collège de France depuis 2006, titulaire de la chaire de Littérature française moderne et contemporaine
For this episode in our Patreon-exclusive series on Franz Kafka's The Trial, we're joined by Martin Kessler to discuss unfinished masterpieces, over-finished masterpieces, post-humous puzzles, re-edits, rejiggerings, and all manner of ways in which the “completeness” of a masterpiece can remain unresolved. Naturally, Kafka's work leads the way in the discussion, but quickly turns to artworks ranging from the various film versions of Don Quixote to Bizet's Carmen to Blade Runner, The Confessions of Felix Krull, Zulawski's On the Silver Globe, German's It's Hard to be a God, Billy Budd and The Good Soldier Schweik. Support our Patreon: www.patreon.com/thepinksmoke The Pink Smoke site: www.thepinksmoke.com The Pink Smoke on Twitter: twitter.com/thepinksmoke Christopher Funderburg on Twitter: twitter.com/cfunderburg John Cribbs on Twitter: twitter.com/TheLastMachine Intro music: Unleash the Bastards / “Tea for Two” Outro music: Marcus Pinn / “Vegas"
In einer Septembernacht im Jahr 1912 gelang Franz Kafka, was er lange nicht zu hoffen wagte: Er schrieb wie besessen und im Morgengrauen war die Erzählung "Das Urteil" fertig, die ihn zum Schriftsteller machte. Auf wenigen Seiten ist alles versammelt, was Kafka ausmacht: Die Widersprüche, die klare Sprache, der subtile Wahnsinn des 20. Jahrhunderts. Autorin: Monika Buschey Von Monika Buschey.
This series is sponsored by our friends, Daniel and Mira Stokar.On this episode of 18Forty, we have a wide ranging conversation with Shais Taub, a renowned Chabad scholar and author of the book God of Our Understanding: Jewish Spirituality and Recovery from Addition, about the mechanics of teshuva. It's hard to put Rabbi Taub in a box. He is a candid speaker and an eclectic thinker who brings authenticity and honesty to otherwise formulaic topics. During our conversation we discussed:—What's the difference between teshuva of innocence and teshuva of experience?—What does Kafka have to do with teshuva?—Why did the Alter Rebbe, the first Rebbe of Chabad, call his work the Sefer of Beinonim, the book for people in the middle?Interview begins at 4:35Rabbi Shais Taub is a rabbi and author. He writes about Jewish spirituality, addiction, and mysticism, and is the author of God of Our Understanding: Jewish Spirituality and Recovery from Addiction. Rabbi Taub is a noted speaker, and he currently serves as scholar-in-residence of Chabad of the Five Towns. References:Franz Kafka's The TrialTanyaSoulWords.org
How do you build an event-driven application that can react to real-time data streams as they happen? Kris Jenkins (Senior Developer Advocate, Confluent) will be hosting another fun, hands-on programming workshop—Coding in Motion: Watching the River Flow, to demonstrate how you can build a reactive event streaming application with Apache Kafka®, ksqlDB using Python.As a developer advocate, Kris often speaks at conferences, and the presentation will be available on-demand through the organizer's YouTube channel. The desire to read comments and be able to interact with the community motivated Kris to set up a real-time event streaming application that would notify him on his mobile phone. During the workshop, Kris will demonstrate the end-to-end process of using Python to process and stream data from YouTube's REST API into a Kafka topic, analyze the data with ksqlDB, and then stream data out via Telegram. After the workshop, you'll be able to use the recipe to build your own event-driven data application. EPISODE LINKSCoding in Motion: Building a Reactive Data Streaming AppWatch the video version of this podcastKris Jenkins' TwitterStreaming Audio Playlist Join the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Intro to Event-Driven Microservices with ConfluentUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
Dan and Nick break down the All-22 coaches film of the Giants' Week 2 win over the Carolina Panthers. They dive into the film but first start by evaluating some advanced stats and metrics that played a key factor in the game – delving into what they might mean. Then, they go drive by drive, breaking down key plays, Xs and Os, full evaluations on players like Daniel Jones, his offensive linemen and more. It's a jampacked episode – enjoy! Learn more about your ad choices. Visit podcastchoices.com/adchoices
Dan and Nick dive into their first takeaways from the Giants' Week 2 win against the Panthers. They discuss the coaching from Brian Daboll, Mike Kafka, and Wink Martindale. They follow that up with some Xs and Os schematic breakdowns of two of the most important play calls in the game -- one from Kafka -- one from Wink. They also dive into Daniel Jones, Ohsane Ximines and several other key players and moments in the win. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Javier Sinay nació en Buenos Aires en 1980. Es periodista, escritor y docente. Con un talento natural y un elaborado dominio del oficio y de los diferentes géneros del periodismo, publicó los libros Camino al Este: Crónicas de amor y desamor (2019); Cuba Stone: Tres historias (en coautoría, 2016) y Los crímenes de Moisés Ville: Una historia de gauchos y judíos (2013). En 2015 ganó el Premio Gabriel García Márquez de la Fundación Gabo por su crónica “Rápido. Furioso. Muerto”, publicada en Rolling Stone, revista de la que fue editor. Sus textos han aparecido en los diarios La Nación y Clarín, de Buenos Aires; y en www.redaccion.com.ar. Además, fue corresponsal en Sudamérica para El Universal (México), además de colaborar con publicaciones de Europa y Asia. Dicta seminarios de escritura creativa de no ficción. Editorial Tusquets acaba de reeditar -con algunos leves cambios y añadidos- su celebrado libro Sangre joven: Matar y morir antes de la adultez (Premio Rodolfo Walsh de la Semana Negra de Gijón, 2009), un trabajo que consagró a Javier como uno de los grandes cronistas en lengua castellana y que reúne historias de víctimas y victimarios que tienen en común la juventud y la tragedia. Las historias de los crímenes pero también las historias de vida de los protagonistas o sus familias son narradas con sensibilidad pero sin juicio en un estilo distanciado que, sin perder ni elegancia ni empatía, le permite al lector asumir su propia mirada sobre los episodios que se cuentan. En la sección Bienvenidos, Hinde habló de “La impostora de Parma”, de Néstor Tirri (Paradiso) y de “Imprenteros”, de Lorena Vega y Hnos. (Ediciones Documenta) y en Libros que sí recomendó “Loving, Una historia fotográfica” (Duomo) de Hugh Nini y Neal Treadwell, “Parajes”, de Cristina Iglesia (Nudista) y “La bahía”, de Cynan Jones (Chai). En Voz Alta la actriz Eugenia Guerty leyó el comienzo de “La fuerza de la naturaleza”, cuento del libro Pranzalanz, de Christian Kupchik y en Te regalo un libro el Dr Luis Moreno Ocampo habla de “El Proceso” de Kafka. Moreno Ocampo fue el fiscal del juicio a las Juntas y acaba de reeditar su libro “Cuando el poder perdió el juicio” (Capital Intelectual)
On today's episode of ‘Conversations On Dance' we are joined by choreographer Arthur Pita. Arthur's choreography has been featured across a broad spectrum of art forms including opera, ballet, film, and musical theatre, never shying away from artistic risks like tackling Kafka's ‘Metamorphosis' or creating to the music of Bjork. Today we talk to Arthur […] The post (307) Choreographer, Arthur Pita, on his new World Premiere for Houston Ballet, ‘Good Vibrations' appeared first on tendusunderapalmtree.com.
Meridian Brothers - Metamorfosis (feat. Grupo El Renacimiento) from the 2022 album Meridian Brothers & El Grupo Renacimiento on Ansonia Records. For Eblis Álvarez, frontman and figurehead behind Bogotá band Meridian Brothers, the imaginary is a primary source of inspiration. His latest record, and 11th since the band's inception in 1998, is a collaboration with a fictional band called Grupo El Renacimiento. Creating an entire backstory for the band, Álvarez claims them to be a 1970s salsa group from a small village in Colombia who had a small amount of fame but then were forgotten after the band delved further into drugs and partying. But that's not the only story on Meridian Brothers & El Grupo Renacimiento. There's also a Kafka-esque storyline on today's Song of the Day “Metamorfosis,” in which the formerly-human protagonist wakes up to find themselves transformed into a robot. “Memory is dying,” reads the English translation of the lyrics. “They've already connected the internet to my lung /To my heart.” “Salsa singers in the '70s, they used to sing about, you know, like, actual problems,” Álvarez told NPR in an interview. “Social problems, political problems, human problems of emotional problems. So I decide to imitate that attitude - ‘Metamorfosis' - that tells about this dystopian world where technology takes over the human brain, takes over the human body, takes over the human societies and control it.” This record is also important because it marks the first release in 30 years from long-standing label Ansonia Records. Created in 1949 by Puerto Rican immigrant Rafael ‘Ralph' Pérez, the New York-based label was the home for a surprisingly large, diverse, and important catalog of seminal recordings featuring traditional and popular Latin rhythms and sounds. Genres such as música jíbara, plena, bomba, danza, son, guajira, bolero, danzón and merengue are well represented, as are guaracha, mambo, cha-cha-cha, pachanga and boogaloo. Watch the lyric video (in both English and Spanish) for “Metamorfosis” and read the full post at KEXP.org.Support the show: https://www.kexp.org/donateSee omnystudio.com/listener for privacy information.
Processing real-time event streams enables countless use cases big and small. With a day job designing and building highly available distributed data systems, Simon Aubury (Principal Data Engineer, Thoughtworks) believes stream-processing thinking can be applied to any stream of events. In this episode, Simon shares his Confluent Hackathon '22 winning project—a wildlife monitoring system to observe population trends over time using a Raspberry Pi, along with Apache Kafka®, Kafka Connect, ksqlDB, TensorFlow Lite, and Kibana. He used the system to count animals in his Australian backyard and perform trend analysis on the results. Simon also shares ideas on how you can use these same technologies to help with other real-world challenges.Open-source, object detection models for TensorFlow, which appropriately are collected into "model zoos," meant that Simon didn't have to provide his own object identification as part of the project, which would have made it untenable. Instead, he was able to utilize the open-source models, which are essentially neural nets pretrained on relevant data sets—in his case, backyard animals.Simon's system, which consists of around 200 lines of code, employs a Kafka producer running a while loop, which connects to a camera feed using a Python library. For each frame brought down, object masking is applied in order to crop and reduce pixel density, and then the frame is compared to the models mentioned above. A Python dictionary containing probable found objects is sent to a Kafka broker for processing; the images themselves aren't sent. (Note that Simon's system is also capable of alerting if a specific, rare animal is detected.) On the broker, Simon uses ksqlDB and windowing to smooth the data in case the frames were inconsistent for some reason (it may look back over thirty seconds, for example, and find the highest number of animals per type). Finally, the data is sent to a Kibana dashboard for analysis, through a Kafka Connect sink connector. Simon's system is an extremely low-cost system that can simulate the behaviors of more expensive, proprietary systems. And the concepts can easily be applied to many other use cases. For example, you could use it to estimate traffic at a shopping mall to gauge optimal opening hours, or you could use it to monitor the queue at a coffee shop, counting both queued patrons as well as impatient patrons who decide to leave because the queue is too long.EPISODE LINKSReal-Time Wildlife Monitoring with Apache KafkaWildlife Monitoring GithubksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work TogetherEvent-Driven Architecture - Common Mistakes and Valuable LessonsWatch the video version of this podcastKris Jenkins' TwitterJoin the Confluent CommunityLearn more on Confluent DeveloperUse PODCAST100 to get $100 of free Confluent Cloud usage (details)
When a listener dedicates a podcast commission to his late wife, you treat it with respect. When the movie is about death and the afterlife, you add a degree of reverence. When one of your podcast hosts is dealing with a recent loss, you take the whole thing personally. And when Albert Brooks is the romantic lead, you have to throw all of that out the window. "Defending You Life" is a 1991 romantic comedy destined for a good shatting, and it treated the Shat Crew to some lively discussion of past lives, simpler times, biggest fears, and crimes against Meryl Streep. The podcast also took us to places we never imagined we'd go: highlighting the difference between Albert Brooks and Larry David, worshipping Rip Torn and earnestly drawing parallels between purgatory's legal proceedings and Franz Kafka. SUBSCRIBE Android: https://shatpod.com/android Apple: https://shatpod.com/apple All: https://shatpod.com/subscribe CONTACT Email: firstname.lastname@example.org Website: https://shatpod.com/movies Leave a Voicemail: Web: https://shatpod.com/voicemail Leave a Voicemail: Call: (914) 719-7428 SUPPORT THE PODCAST Donate or Commission: https://shatpod.com/support Shop Merchandise: https://shatpod.com/shop Theme Song - Die Hard by Guyz Nite: https://www.facebook.com/guyznite
Dan and Nick dive into the All-22 coaches film from the Giants' Week 1 upset victory over the Titans with this focus being on the offensive side of the ball. They break down everything offense on a drive to drive basis while also tackling key overall concepts like Mike Kafka's play calling, the blocking, Saquon Barkley's individual efforts, key plays from Daniel Jones and more. The podcast is jam packed with individual play breakdowns, Xs and Os, offensive line analysis and more. They even touch on a few players individually requested by listeners. It's the longest All-22 review to date and for a good reason – the Giants are 1-0! Learn more about your ad choices. Visit podcastchoices.com/adchoices