Podcasts about gcloud

Off Script is back! This episode, James and Josh discuss engineering culture and some of the best practices and processes they've implemented for reliable development cycles. What's the release process? How do you monitor the application and ensure robust code quality? How do Infrastructure and security considerations affect the development? All covered in this episode! 02 Release process - Continuous integration 03 Feature flagging 05 Versioning 07 Application Monitoring & alerting 09 Flare error message mishap 10 Centralised Dashboards 11 Shipping a better product 11 Tips for a new hire 12 Linting 13 Versioning 15 Testing 17 Reduce the feedback loop 20 Architecture review 22 Programming patterns 25 Infrastructure 26 Tooling setup and access (Consul, Vault, etc) 28 Infrastructure as code 30 Data residency and regional deployments 32 Security 33 Secret storage and environment specific configuration 34 Regulatory compliance (e.g. ISO 27001, GCloud expectations 35 Dependency review 36 External security review 37 On-boarding/off-boarding Documentation 38 OpenAPI documents 40 Slack 44 Communication is key Find out more about Stac and Parallax: * Stac (https://stac.works) * Parallax (https://parall.ax)

Otra semanita más por os traemos el podcast favorito de los niños. De los niños rata nos referimos. Decimotercer capítulo de esta temporada 13 en el que os traemos mucha tecnología, de la mano del amigo SSaup de Eresgames, nuestro podacast hermano. Tocaremos también el Logitech Gcloud, Apple M2 y el nuevo chip gráfico de PS5 que esta generando mucha conntroversia. ¿Te lo vas a perder?

In questa puntata parliamo dell'arrivo, finalmente, di PHP nelle Cloud Function di Google, di come una nuova criptovaluta, Chia, spaventi per un possibile shortage di dischi SSD e finiamo con un tuffo nel passato dei Post Mortem, tornando addirittura a quando il PSN di Sony venne ricostruito a seguito di una presunta intrusione, nel 2011.con: Edoardo Dusi, Juan Barreira, Alessio Piazza e Marcello Testi/* Newsletter */https://landing.sparkfabrik.com/continuous-delivery-newsletter/* Link e Social */https://www.sparkfabrik.com/ - @sparkfabrik

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

David Lynam talks to business partner, Kieran Benton, about the company switch to Google Cloud

Happy Halloween! Today, Jon Foust and Brian Dorsey chat with Maria Laura Scuri of FACEIT about ways they are reducing toxicity in gaming. FACEIT is a competitive gaming platform that helps connect gamers and game competition and tournament organizers. In order to do this well, FACEIT has put a lot of energy into finding ways to keep the experience positive for everyone. Because gaming toxicity can involve anything from verbal jabs to throwing a game, FACEIT uses a combination of data collecting programs and input from players to help identify toxic behavior. In identifying this behavior, FACEIT has to consider not only the literal words spoken or actions made, but the context around them. Is that player being rude to strangers or is he egging on a friend? The answer to this question could change the behavior from unacceptable to friendly banter. Using their own machine learning model, interactions are then given a score to determine how toxic the player was in that match. The toxicity scores along with their program, Minerva, determine if any bans should be put on a player. FACEIT focuses on punishing player behavior, rather than the player themselves, in an effort to help players learn from the experience and change the way they interact with others in the future. Maria’s advice to other companies looking to help reduce toxicity on their platforms is to know the context of the toxic event. Know how toxicity can express itself on your platform and find ways to deal with all of them. She also suggests tackling the issues of toxicity in small portions and celebrating the small wins! Her final piece of advice is to focus on criticizing the behavior of the user rather than attacking them personally. Maria Laura Scuri Maria is the Director of Business Intelligence at FACEIT, the leading competitive platform for online multiplayer games with over 15 million users. She joined FACEIT as part of the core team in 2013 as an intern assisting with everything from customer support to event management. Her passion for data, machine learning, and artificial intelligence saw her quickly rise through the ranks to her current position, leading the Business Intelligence and Data Science teams. Maria works side by side with some of the biggest tech companies in the world including Google Cloud. She is the main lead on a number of projects including the inception of an Artificial Intelligence Admin to fight toxicity on the platform. Maria is responsible for implementing best practices around data visualization and tools that allow the FACEIT team to thrive, as well as sourcing and training new talent. Maria is a huge video games fan. You can find her on League of Legends as “FACEIT Lulu” and on Steam as “Sephariel”. Cool things of the week What can Google Cloud do for you? New trainings for business professionals blog Leave no database behind with Cloud SQL for SQL Server blog How to orchestrate Cloud Dataprep jobs using Cloud Composer blog Updates make Cloud AI platform faster and more flexible blog Use GKE usage metering to combat over-provisioning blog Interview FACEIT site FACEIT blog FACEIT on Medium site Steam site Perspective API site BigQuery site Looker site Cloud Datalab site Jupyter Notebook site Cloud AI Platform site TensorFlow site Google Cloud Data Labeling site Google Translation site] Dealing with CS:GO Free to Play and Addressing Toxicity in Matches blog Revealing Minerva and addressing toxicity and abusive behaviour in matches blog One of Europe’s Largest Gaming Platforms is Tackling Toxicity with Machine Learning blog FACEIT And Google Partner To Use AI To Tackle In Game Toxicity article FACEIT implement Minerva, an AI to punish toxicity in CSGO blog FACEIT Takes On Toxicity With Machine Learning article Exploring Cyberbullying and Other Toxic Behavior in Team Competition Online Games whitepaper Toxic Behavior in Online Games whitepaper A Look at Gaming Culture and Gaming Related Problems: From a Gamer’s Perspective whitepaper An Analysis of (Bad) Behavior in Online Video Games whitepaper Toxicity detection in multiplayer online games whitepaper Jon’s gaming info steam BattleNet: Syntax#11906 Question of the week When I SSH into my VM via different methods (Cloud Console, GCloud, terminal/command prompt) I get a different username… What can I do to make that static? OS Login Where can you find us next? FACEIT will be at Next London and GDC Brian will be at Super Computing in Denver. Jon will be at AnimeNYC, Kubecon in November and Google Kirkland and Montreal in December.

Remember what started us down the path of managing a kubernetes cluster in the first place? No, it wasn’t our own sadistic desire to to devops in an effort to avoid building an actual project, but close. We want to be able to leverage ‘live view’ in our project, that requires websockets, which all signs pointed to not available on appengine.

Jason Kitcat (Essex CC) Richard Farrell of Netcall and Sleuth Co-op's Hilary Simpson discuss how local authorities might overcome challenges of legacy systems, digital skill shortages and the persistence of old-style procurement. As Director of Corporate Development, Jason is working for change by getting his Essex colleagues to focus on citizen outcomes and experience, using the tools of service and interaction design, ethnography, data and analytics, recognising there will be many different ways forward, not all of them involving technology. Richard, whose role at low-code platform provider Netcall involves thinking about the future of IT, says he spends a lot of time ‘filtering hype' and agrees that tech should be subservient when it comes to change. The company is still getting asked to automate bad processes, and culture remains the biggest challenge. Skill shortages are also a problem for public service organisations that cannot offer 24-year-old coders Macbooks, pizza and ‘beer o'clock'. But there are various solutions, including making use of the ‘missing 50%' of the IT/digital workforce (ie women); growing your own; making more use of flexible contracting via the new digital frameworks; and using low-code to deliver customised applications created by business analysts rather than coders. Procurement comes up again as an issue: why are legacy suppliers STILL getting the contracts? Nobody ever got fired for hiring the usual suspects still applies, apparently, although there is agreement that GCloud and the other new tech frameworks are becoming real game-changers. This content is sponsored by Netcall  

On the podcast today, we have two more fascinating interviews from Melanie’s time at Deep Learning Indaba! Mark helps host this episode as we speak with Karim Beguir and Muthoni Wanyoike about their company, Instadeep, the wonderful Indaba conference, and the growing AI community in Africa. Instadeep helps large enterprises understand how AI can benefit them. Karim stresses that it is possible to build advanced AI and machine learning programs in Africa because of the growing community of passionate developers and mentors for the new generation. Muthoni tells us about Nairobi Women in Machine Learning and Data Science, a community she is heavily involved with in Nairobi. The group runs workshops and classes for AI developers and encourages volunteers to participate by sharing their knowledge and skills. Karim Beguir Karim Beguir helps companies get a grip on the latest AI advancements and how to implement them. A graduate of France’s Ecole Polytechnique and former Program Fellow at NYU’s Courant Institute, Karim has a passion for teaching and using applied mathematics. This led him to co-found InstaDeep, an AI startup that was nominated at the MWC17 for the Top 20 global startup list made by PCMAG. Karim uses TensorFlow to develop Deep Learning and Reinforcement Learning products. Karim is also the founder of the TensorFlow Tunis Meetup. He regularly organises educational events and workshops to share his experience with the community. Karim is on a mission to democratize AI and make it accessible to a wide audience. Muthoni Wanyoike Muthoni Wanyoike is the team lead at Instadeep in Kenya. She is Passionate about bridging the skills gap in AI in Africa and does this by co-organizing the Nairobi Women in Machine Learning community. The community enables learning, mentorship, networking, and job opportunities for people interested in working in AI. She is experienced in research, data analytics, community and project management, and community growth hacking. Cool things of the week Is there life on other planets? Google Cloud is working with NASA’s Frontier Development Lab to find out blog In this Codelab, you will learn about StarCraft II Learning Environment project and to train your first Deep Reinforcement Learning agent. You will also get familiar some of the concepts and frameworks to get to train a machine learning agent. site A new course to teach people about fairness in ML blog Serverless from the ground up: Building a simple microservice with Cloud Functions (Part 1) blog Superposition Podcast from Deep Learning Indaba with Omoju Miller and Nando de Freitas tweet and video Interview Instadeep site Nairobi Women in Machine Learning and Data Science site Neural Information Processing Systems site Google Launchpad Accelerator site TensorFlow site Google Assistant site Cloud AutoML site Hackathon Lagos site Deep Learning Book book Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization research paper Lessons learned on building a tech community blog Kenya Open Data Initiative site R for Data Science GitHub site and book TWIML Presents Deep Learning Indaba site Question of the week If I want to create a GKE cluster with a specific major kubernetes version (or even just the latest) using the command line tools, how do I do that? GCloud container clusters create site Specifying cluster version site Where can you find us next? Our guests will be at Indaba 2019 in Kenya. Mark will be at KubeCon in December. Melanie will be at SOCML in November.

Coach Chip & Candace show how you can increase your capacity to receive God's goodness.