OSCON 2019 - Portland, Oregon

Video description

OSCON Portland 2019 brought together a vibrant and diverse collection of talented speakers (open source leaders from around the globe) who do amazing things with open source technologies. This outstanding group provided the conference attendees (thousands of software developers, programmers, architects, engineers, CxOs, hackers, geeks, and analysts) with the opportunity to explore the latest open source tools and technologies; get expert in-depth training in crucial languages, frameworks, and best practices; and gain exposure to the open source stack in all its possible configurations.

This video compilation offers you the chance to see and hear the best of OSCON Portland 2019. If you want to know how to build an open source culture at your company, work in a cloud environment that isn't always open source-friendly, understand how machine learning can make or break your code, or implement new technologies like Kubernetes and TensorFlow, then getting the OSCON Portland 2019 video compilation is for you.

Highlights include:

  • Complete video recordings of OSCON Portland 2019’s best keynotes, tutorials, and tech sessions offering hours of material to study and absorb at your own pace and schedule
  • Keynotes, including Adam Jacob (Chef) on the war for the soul of open source; Kay Williams (Microsoft Azure) on lessons learned building a strong Kubernetes/VSCode open source community; Adrian Cockcroft (AWS) on leveraging cloud vendors to boost open source business success; and Pete Skomoroch (Workday) on the urgent need for a new open source ML development stack
  • Tutorials offering deep dives into open source tech like Apache Kafka, Rust, extended Berkeley Packet Filters, Spring/Spring Boot, Ethereum DApps, Jenkins 2, Vault/Kubernetes, and Kubeflow
  • The OSCON Business Summit: sessions offering an insider’s look at the open source implementations that have the most profound impact on business with talks by open source specialists at Uber, Pacific Life, Verizon Media, The Home Depot, Baidu, the BBC, and more
  • Open Source do-it-now sessions, including Deb Nicholson’s (Software Freedom Conservancy) whirlwind tour of what not to do when running an open source project; Russell Rutledge’s (Nike) take on how to build an open source culture at your company; and Angie Jones (Applitools) and a panel of experts from Persea Consulting, Red Hat, Magento, and ForgeRock on the best ways to build and maintain open source communities
  • Emerging Languages and Frameworks sessions, such as Josh Long (Pivotal) on what the Spring and Kotlin teams do to ensure that app development on the Java virtual machine can fly fast and safe; Sander Mak’s (Luminis Technologies) review of everything that's happened between Java 8 and Java 12; and Sam Lanning (Semmle Inc) on how TypeScript is transforming the JavaScript ecosystem
  • Incorporating AI sessions, including Julien Simon (Amazon Web Services) on how to build ML inference pipelines using open source libraries and scale them on AWS; Holden Karau (Google) and Trevor Grant (IBM) on how to build ML models and set up serving across clouds with Kubeflow; and Sam Charrington’s (podcast host, “This Week in Machine Learning & AI”) review of the best practices for delivering ML infrastructure and the landscape of available open source solutions
  • Sessions from luminaries such as Jon Galloway (.NET Foundation) on what open source foundations do and why they matter; Alison McCauley, author of “Unblocked: How Blockchains Will Change Your Business” on what the blockchain future will actually look like; and VM Brasseur’s (Juniper Networks) sold out tips, tricks, and stuff-that-works session on how to plow through the often demoralizing process of finding a new job

Table of contents

  1. Keynotes
    1. Highlights from the Keynotes of OSCON Conference, Portland, 2019
    2. Better living through software - Tiffani Bell (The Human Utility)
    3. Built to Last - building and growing open source communities - Kay Williams (Microsoft)
    4. The role of open source in mitigating natural disasters (sponsored by IBM) - Pedro Cruz (IBM), Brad Topol (IBM)
    5. Why Amazon cares about open source (sponsored by Amazon Web Services) - Arun Gupta (Amazon Web Services)
    6. The next age of open innovation - Alison McCauley (Unblocked Future)
    7. The war for the soul of open source - Adam Jacob (Chef)
    8. Open source force multipliers - Adrian Cockcroft (Amazon Web Services)
    9. Ask not what Brands™ can do for you - VM Brasseur (Juniper Networks)
    10. O’Reilly Radar: Open source technology trends—What our users tell us - Roger Magoulas (O'Reilly Media)
    11. Be a docs star (sponsored by Google Cloud) - Megan Byrd-Sanicki (Google)
    12. Managing machines - Pete Skomoroch (Workday)
    13. O'Reilly Open Source Awards
  2. Sponsored
    1. Interactive 3-D web mapping (sponsored by HERE) - Thomas Steenbergen (Here Technologies), Oliver Fink (Here Technologies), Nino Kettlitz (Here Technologies)
    2. Open source @ Microsoft: A new terminal, shipping a Linux kernel, and VS Code? What's the catch? (sponsored by Microsoft) - Scott Hanselman (Microsoft), Kayla Cinnamon (Microsoft ), Yosef Durr (Microsoft)
    3. Build innovative applications with Azure blockchain and open source technology (sponsored by Microsoft) - Chris Klepper (Microsoft), Andrea Lam (Microsoft) - Part 1
    4. Build innovative applications with Azure blockchain and open source technology (sponsored by Microsoft) - Chris Klepper (Microsoft), Andrea Lam (Microsoft) - Part 2
    5. Great wide open source in big business (sponsored by Capital One) - Jag Gadiyaram (Capital One)
    6. Why you should care about open source software foundations (sponsored by Microsoft) - Jon Galloway (.NET Foundation)
    7. Enabling the open source enterprise (sponsored by GitHub) - Cory Dobson (GitHub)
    8. Gourmet alerting with Open Distro for Elasticsearch (sponsored by AWS) - Alolita Sharma (Amazon Web Services), Mihir Soni (Amazon Web Services)
    9. An introduction to open source deep learning models for app developers (sponsored by IBM) - va barbosa (IBM), Patrick Titzler (IBM), Jeremy Nilmeier (IBM) - Part 1
    10. An introduction to open source deep learning models for app developers (sponsored by IBM) - va barbosa (IBM), Patrick Titzler (IBM), Jeremy Nilmeier (IBM) - Part 2
    11. Removing unfair bias in machine learning using open source (sponsored by IBM) - Ana Echeverri (IBM), Trisha Mahoney (IBM) - Part 1
    12. Removing unfair bias in machine learning using open source (sponsored by IBM) - Ana Echeverri (IBM), Trisha Mahoney (IBM) - Part 2
    13. gRPC in Go, C#, and Java: A microservices code kata (sponsored by Salesforce) - Ryan Michela (Salesforce)
    14. Eclipse Che: IDE and developer workspaces as a service (sponsored by Red Hat) - Dave Neary (Red Hat)
    15. Building telemetry and anomaly-detection models for cloud native storage (sponsored by Futurewei) - Quinton Hoole (Futurewei)
    16. Toward a de facto standard in AI: What’s new in TensorFlow 2.0 (sponsored by IBM) - Romeo Kienzler (IBM Center for Open Source Data and AI Technologies)
    17. End-to-end transparent, secure, and trusted machine learning pipelines using open source technologies (sponsored by IBM) - Animesh Singh (IBM)
    18. Desktop apps with JavaScript (sponsored by Slack) - Felix Rieseberg (Slack)
    19. Roda with HTTP/2 async WebSockets (sponsored by Square) - Shannon Skipper (Square)
    20. CUPS at large (scale) (sponsored by The Home Depot) - Robert Batson (The Home Depot), Mary Schnupp (The Home Depot)
    21. Solving enterprise DevOps and frontend challenges with open source (sponsored by HPE) - Pramod Sareddy (HPE)
    22. Sustaining FOSS projects by democratizing the sponsorship process (sponsored by Indeed) - Duane O'Brien (Indeed)
    23. A decentralized reference architecture for cloud native applications (sponsored by Ballerina) - Asanka Abeysinghe (WSO2)
    24. Stick a fork in DIY login and user registration. It’s already done. (sponsored by Ping Identity) - Zach Collier (Ping Identity)
    25. Developing serverless applications on Kubernetes with Knative (sponsored by Pivotal) - Bryan Friedman (Pivotal), Brian McClain (Pivotal)
  3. ML Ops Day
    1. Welcome: ML Ops - Paco Nathan (Derwen, Inc.)
    2. Practical DevOps for the busy data scientist: Alice’s adventures in DevOpsland - Tania Allard (Microsoft)
    3. Kubernetes for machine learning: Productivity over primitives - Sophie Watson (Red Hat), William Benton (Red Hat)
    4. AI pipelines powered by Jupyter notebooks - Luciano Resende (IBM)
    5. Machine learning infrastructure at GitHub using Kubernetes - Michal Jastrzębski (GitHub), Hamel Husain (Github)
    6. Machine learning vital signs: Metrics and monitoring of AI in production - Donald Miner (Miner Kasch)
    7. Model as a service for real-time decisioning​ - Niraj Tank (Capital One), Sumit Daryani (Capital One)
    8. Democratizing AI: Making deep learning models easier to use through containerization and microservices - IH Jhuo (IBM), Saishruthi Swaminathan (IBM)
    9. The OS for AI: How serverless computing enables the next gen of machine learning - Jonathan Peck (Algorithmia)
  4. j.day
    1. Java.next: Keeping up with Java - Sander Mak (Luminis Technologies) - Part 1
    2. Java.next: Keeping up with Java - Sander Mak (Luminis Technologies) - Part 2
    3. Java.next: Keeping up with Java - Sander Mak (Luminis Technologies) - Part 3
    4. Building Java in the open - Arun Gupta (Amazon Web Services), Yishai Galatzer (Amazon Web Services)
    5. Quarkus brings serverless to Java developers - Burr Sutter (Red Hat)
    6. Java at speed: Getting the most out of modern deployments (sponsored by Azul Systems) - Gil Tene (Azul Systems)
    7. An open future for Java in the cloud - Steve Poole (IBM)
    8. Micronaut: Launching the microfuture - Jeffrey Brown (Object Computing)
    9. Kotlin; or, How I learned to stop worrying and love the JVM - Christopher Neugebauer (AlphaSights | Python Software Foundation)
    10. Java.next: Keeping up with Java - Sander Mak (Luminis Technologies)
  5. InnerSource Day
    1. CI/CD takes a village: Deliver more, faster, with InnerSource - Harikrishnan N (Capital One)
    2. Building an InnerSource market in Spain - Daniel Izquierdo (Bitergia)
    3. From open source to InnerSource: A journey into company collaboration - Joe Bowser (Adobe)
    4. 7 cultural models to adapt to a world of increased complexity - Kristof Van Tomme (Pronovix)
    5. Organizing open/inner/municipal source for cities - Jacob Green (Mosslabs.io)
    6. Developing an InnerSource model for enterprises - Rashi Khurana (Shutterstock)
    7. InnerSource: Open source collaboration patterns beyond public FOSS projects - Benjamin Weigel (EUROPACE AG)
  6. Blockchain beyond Cryptocurrencies
    1. Happy InnerSource Day - Danese Cooper (NearForm)
    2. What will a blockchain world look like? - Alison McCauley (Unblocked Future)
    3. 2019: Year of professionalization for open source blockchain - Brian Behlendorf (Hyperledger)
    4. Blockchain for good - Herman Smith (ixo)
    5. How blockchain is changing the food industry - Erin Vincent (Erin Vincent)
    6. Deploy a blockchain web app with Hyperledger Fabric - Horea Porutiu (IBM)
  7. Emerging Languages and Frameworks
    1. Bootiful Kotlin - Josh Long (Pivotal)
    2. Reactive for the impatient - Mary Grygleski (IBM)
    3. Let's go serverless with Swift using Vapor - Timirah James (Cloudinary)
    4. HCL: A human-friendly language for developers and operators - Anubhav Mishra (HashiCorp)
    5. How TypeScript is transforming the JavaScript ecosystem - Sam Lanning (Semmle Inc)
    6. Babylon versus Three: A WebGL throwdown - Chris Strom (EEE Computes)
    7. Update your web to HTTP/3 or, better, don't? - Nick Shadrin (NGINX at F5)
    8. Serverless on your own terms using Knative - Mark Chmarny (Google Cloud)
    9. Ballerina: A modern programming language focused on cloud native applications - Sameera Jayasoma (WSO2)
    10. Intro to Rust - Nathan Stocks (GitHub)
    11. Children of Ruby: The different worlds of Elixir and Crystal - Simon St.Laurent (LinkedIn)
    12. Observability and performance analysis with BPF - David Calavera (Netlify)
  8. OSCON Business Summit - Open Source in Enterprise Case Studies
    1. Quota exceeded: Success and failure building an observability pipeline at The Home Depot - David Narayan (The Home Depot)
    2. Democratizing fintech: Enabling financial services for all through open source banking - Edward Cable (Mifos Initiative)
    3. Learning collaboration from open source development at the BBC - David Buckhurst (BBC), Tom Sadler (BBC)
    4. How CodeChix built a community for technical women with open source - Rupa Dachere (CodeChix)
    5. Lessons learned from working on an open source design system at Uber - Gergely Nemeth (Uber)
    6. A tale of two cities: Merging Yahoo and Aol’s open source programs - Ashley Wolf (Verizon Media), Gil Yehuda (Verizon Media)
    7. The San Francisco open source voting project - Tony Wasserman (Carnegie Mellon University in Silicon Valley)
    8. How China's search company Baidu adopted InnerSource - Tan Zhongyi (Baidu)
    9. Envoy: An end-user-driven open source success story - Matt Klein (Lyft)
    10. Yes, it can be done: A primer on using open source in federal government projects - Thomas Scanlon (Carnegie Mellon University)
  9. Live Coding
    1. Build an app with real-time GraphQL, managed PostgreSQL, and async serverless business logic - Bart Verkoeijen (KintoHub)
    2. Become more productive by using IPython - Jacinda Shelly (Doctor On Demand)
    3. Untangling the knots with distributed tracing - Isobel Redelmeier (LightStep)
    4. Live coding: Policy as code - Torin Sandall (Open Policy Agent Project)
    5. Deploying containerized and serverless apps with Terraform - Christie Koehler (HashiCorp)
    6. Going from 0 to 1,000 with AWS Lambda - Alexander Wood (Amazon Web Services)
    7. Writing npm (JavaScript) libraries using TypeScript - Sam Lanning (Semmle Inc)
    8. OSCON Apache Airflow live PR coding - Holden Karau (Google), Leah Cole (Google)
    9. Implement your own type system - Michael Ernst (University of Washington)
    10. Live streams live - Benjamin Picolo (Squarespace)
    11. Flutter meets the physical world - Emily Fortuna (Google), Matt Sullivan (Google)
    12. Secrets in serverless - Seth Vargo (Google)
  10. Software Methodologies from Ideation to Deployment
    1. Implementing cross-functional code reviews - Margaret Fero (Degreed)
    2. Code review skills for emotionally intelligent developers - Nina Zakharenko (Microsoft)
    3. Unlocking your serverless functions with OpenFaaS for AI chatbots projects - Sergio Mendez (Universidad San Carlos de Guatemala)
    4. Code generation: Principles and challenges - Luke Sneeringer (Google)
    5. Get thicker data naturally with computational anthropology - Augustina Ragwitz (IBM)
    6. Integrating security into modern software development: A workflow study - Lucas Charles (GitLab)
    7. RDD: Retention-driven development - Kristen Gallagher (Edify)
    8. Loops must die - Marco Emrich (codecentric)
    9. Evolutionary systems for software - Aaron Longwell (USAID, Afghanistan)
    10. Empowering early-career developers - Mercedes Bernard (Tandem)
    11. The philosophy of versions - Adam Harvey (New Relic)
  11. Open Source
    1. Open source citizenship - Josh Simmons (Salesforce | Open Source Initiative), Cat Allman (Google)
    2. Working for open source: How to chart your own course - Danese Cooper (NearForm)
    3. Is the software itself gender biased: OSS tools and gender inclusivity - Anita Sarma (Oregon State University)
    4. A community of communities: Empowering maintainers to grow communities around their code - Ben Balter (GitHub)
    5. FOSS governance: The good, the bad, and the ugly - Deb Nicholson (Software Freedom Conservancy)
    6. Building and maintaining open source communities - Mary Thengvall (Persea Consulting), Jason Hibbets (Red Hat), Sherrie Rohde (Magento), Mike Jang (ForgeRock), Angie Jones (Applitools)
    7. Advanced Git - Functionality and Features - Brent Laster (SAS)
    8. 10 years building an open source community in Asia - Hong Phuc Dang (FOSSASIA )
    9. Marketing your open source project - Deirdré Straughan (Amazon Web Services)
    10. An open collaboration maturity model - Russell Rutledge (Nike)
  12. Building Data-Intensive Applications
    1. Planetary skin and data-driven microgrids to protect against natural disasters - Michael Enescu (Project EAN), Peter Enescu (University of California San Diego)
    2. Demystifying data science - Grishma Jena (IBM)
    3. Observability for data pipelines: Monitoring, alerting, and tracing lineage - Jiaqi Liu (Button)
    4. Large-scale automated storage on Kubernetes - Matt Schallert (Uber)
    5. Optimizing analytical queries on Cassandra by 100x - Shradha Ambekar (Intuit)
    6. Graph algorithms: Predict real-world behavior - Amy Hodler (Neo4j), William Lyon (Neo4j)
    7. How a modern database gets your data fast: MariaDB query optimizer - Vicențiu Ciorbaru (MariaDB Foundation)
    8. Open source streaming analytics with the Kafka, Flink, Cassandra (KFC) stack - Bas Geerdink (ING)
    9. How to get the most out of your streaming data infrastructure - Alex Silva (Pluralsight)
    10. Real-time streaming APIs: From data center to internet clients - Wenbo Zhu (Google)
    11. Humans do not have a primary key - Christophe Pettus (PostgreSQL Experts, Inc.)
  13. Incorporating Artificial Intelligence
    1. Industrializing machine learning and data science on open source platforms - Sam Charrington (This Week in Machine Learning AI)
    2. Measuring embedded machine learning - Alasdair Allan (Babilim Light Industries)
    3. Overview of Data Governance - Paco Nathan (Derwen, Inc.)
    4. Learn neural networks with Go—not math - Ellen Korbes (Garden)
    5. Live-coding a machine learning model from scratch - Sara Robinson (Google)
    6. Building machine learning inference pipelines at scale - Julien Simon (Amazon Web Services)
    7. Introducing Kubeflow with special guests TensorFlow and cross-cloud machine learning - Holden Karau (Google)
    8. ML on code: Machine learning will change programming - Francesc Campoy (source{d})
    9. K-means for anomaly detection - Anais Jackie Dotis (InfluxData)
    10. What's your machine learning score? - Tania Allard (Microsoft)
    11. Performance tuning Twitter services with Graal and machine learning - Chris Thalinger (Twitter)
    12. Verifying the quality of machine learning applications - Angie Jones (Applitools)
    13. Digital discrimination: Cognitive bias in machine learning - Maureen McElaney (IBM)
  14. The Next Architecture
    1. Big data for the small fry - Mike Lutz (Samtec)
    2. I'm a developer; should I care about a service mesh? - Neeraj Poddar (Aspen Mesh)
    3. Polyglot applications with GraalVM - Michael Hunger (Neo4j)
    4. Time to think different: Decoupling distributed systems from IP networks - Derek Collison (Synadia Communications)
    5. Helm 3: Navigating to distant shores - Bridget Kromhout (Microsoft), Jessica Deen (Microsoft)
    6. eBPF-powered distributed Kubernetes performance analysis - Lorenzo Fontana (Sysdig)
    7. Transforming legacy infrastructure into globally scalable regions - Sean Kane (New Relic)
    8. Serverless operations: From dev to production - Soam Vasani (Platform9)
    9. Level up your web apps with WebAssembly - Robert Aboukhalil (Invitae)
    10. Break me if you can: A practical guide to building fault-tolerant systems - Alex Borysov (Google), Mykyta Protsenko (Netflix)
    11. Small is going big: Go on microcontrollers - Ron Evans (The Hybrid Group)
  15. Product Management and Design
    1. 10 UX principles every developer must know - Josh Clark (Twenty Ideas), Mike Biglan (Twenty Ideas)
    2. Enabling Community Driven Development - Aaron Aldrich (Elastic)
    3. Extreme open source: Building an entire product in the open - Daniel Gruesso (GitLab)
    4. Spark understanding: Explain with story and visuals - Cyrene Domogalla (ELUCYAN LLC)
    5. Building consistent cross-platform interfaces - Danny Banks (Amazon)
    6. Get your poker face on: How to use Planning Poker to slay project estimations - Laura Bernardin Janusek (Modern Teacher)
  16. Open@Amazon
    1. Open@Amazon welcome - Adrian Cockcroft (Amazon)
    2. Building open source communities at AWS serverless - Sanath Kumar Ramesh (Amazon Web Services)
    3. Building the virtualization stack of the future - Radu Weiss (Amazon), Diana-Maria Popa (Amazon)
    4. Deep learning with Apache MXNet - Nathalie Rauschmayr (AWS)
    5. Opening the IoT with FreeRTOS - Richard Elberger (Amazon Web Services)
    6. Building enterprise solutions with Amazon Managed Blockchain and Amazon QLDB - Tamara Dull (Amazon Web Services)
    7. Developing intelligent robots with AWS RoboMaker - Thomas Moulard (Amazon)
    8. Keeping open source open - Zaheda Bhorat (Amazon Web Services), Matt Asay (Adobe), VM Brasseur (Juniper Networks), Matt Wilson (Amazon Web Services), Tiffany Farriss (Palantir.net), Adam Jacob (Chef)
    9. Introduction and discussion on Open Distro for Elasticsearch - Carl Meadows (Amazon)
    10. Fluent Bit and AWS - Wesley Pettit (Amazon)
    11. Spinnaker: Open source continuous delivery at AWS - Paul Roberts (Amazon)
    12. Open source with AWS Chalice - Kyle Knapp (Amazon Web Services)
    13. Maps, weapons, and open source - Simon Wardley (Leading Edge Forum)
  17. Cloud-Native Strategies and Implementation
    1. Chaos Debugging: Finding and Fixing Microservice Abnormalities - Mitchell Kelley (solo.io), Scott Cranton (Solo.io)
    2. Navigating the service mesh landscape with Istio, Consul Connect, and Linkerd - Christian Posta (solo.io)
    3. CI/CD in a cloud native world - Christie Wilson (Google)
    4. Deploying Windows apps with Draft, Helm, and Kubernetes - Jessica Deen (Microsoft)
    5. Kubernetes day 3: The state of Kubernetes development tooling - Ellen Korbes (Garden)
    6. Conquering both containers and virtual machines with Kubernetes - Kris Nova (Independent)
    7. Simple, secure, and reliable: Building cloud native applications with NATS - Waldemar Quevedo (Synadia Communications, Inc)
    8. If only production incidents could speak - Subbu Allamaraju (Expedia Group)
    9. How NASA is building a petabyte-scale geospatial archive in the cloud - Aimee Barciauskas (Development Seed)
    10. DIY pen testing for your Kubernetes cluster - Jeff Thorne (Aqua Security)
    11. Firecracker: Secure and fast microVM for serverless computing - Arun Gupta (Amazon Web Services), Meena Gowdar (Amazon Web Services)
    12. Policy Enabled Kubernetes with Open Policy Agent - Jimmy Ray (Capital One)
  18. Tutorials
    1. Software architecture fundamentals - Neal Ford (ThoughtWorks) - Part 1
    2. Software architecture fundamentals - Neal Ford (ThoughtWorks) - Part 2
    3. Software architecture fundamentals - Neal Ford (ThoughtWorks) - Part 3
    4. Spring and Spring Boot - Ken Kousen (Kousen IT) - Part 1
    5. Spring and Spring Boot - Ken Kousen (Kousen IT) - Part 2
    6. Spring and Spring Boot - Ken Kousen (Kousen IT) - Part 3
    7. Spring and Spring Boot - Ken Kousen (Kousen IT) - Part 4
    8. Introduction to building Ethereum DApps - Jamiel Sheikh (Chainhaus) - Part 1
    9. Introduction to building Ethereum DApps - Jamiel Sheikh (Chainhaus) - Part 2
    10. Introduction to building Ethereum DApps - Jamiel Sheikh (Chainhaus) - Part 3
    11. Introduction to Kubeflow Pipelines - Dan Anghel (Google) - Part 1
    12. Introduction to Kubeflow Pipelines - Dan Anghel (Google) - Part 2
    13. A hands-on introduction to natural language processing in Python - Grishma Jena (IBM) - Part 1
    14. A hands-on introduction to natural language processing in Python - Grishma Jena (IBM) - Part 2
    15. A hands-on introduction to natural language processing in Python - Grishma Jena (IBM) - Part 3
    16. Linux extended Berkeley Packet Filters - Lorenzo Fontana (Sysdig), David Calavera (Netlify) - Part 1
    17. Linux extended Berkeley Packet Filters - Lorenzo Fontana (Sysdig), David Calavera (Netlify) - Part 2
    18. Linux extended Berkeley Packet Filters - Lorenzo Fontana (Sysdig), David Calavera (Netlify) - Part 3
    19. Python by immersion - Stuart Williams (Investors Group | Mackenzie Investments) - Part 1
    20. Python by immersion - Stuart Williams (Investors Group | Mackenzie Investments) - Part 2
    21. Python by immersion - Stuart Williams (Investors Group | Mackenzie Investments) - Part 3
    22. Build a self-driving car. . .without a car: AI problem solving with Unity and TensorFlow - Paris Buttfield-Addison (Secret Lab), Mars Geldard (University of Tasmania), Tim Nugent (lonely.coffee) - Part 1
    23. Build a self-driving car. . .without a car: AI problem solving with Unity and TensorFlow - Paris Buttfield-Addison (Secret Lab), Mars Geldard (University of Tasmania), Tim Nugent (lonely.coffee) - Part 2
    24. Build a self-driving car. . .without a car: AI problem solving with Unity and TensorFlow - Paris Buttfield-Addison (Secret Lab), Mars Geldard (University of Tasmania), Tim Nugent (lonely.coffee) - Part 3
    25. Building a programming language for fun (and maybe profit) - Tim Nugent (lonely.coffee), Jon Manning (Secret Lab), Paris Buttfield-Addison (Secret Lab) - Part 1
    26. Building a programming language for fun (and maybe profit) - Tim Nugent (lonely.coffee), Jon Manning (Secret Lab), Paris Buttfield-Addison (Secret Lab) - Part 2
    27. Building a programming language for fun (and maybe profit) - Tim Nugent (lonely.coffee), Jon Manning (Secret Lab), Paris Buttfield-Addison (Secret Lab) - Part 3
    28. Building a programming language for fun (and maybe profit) - Tim Nugent (lonely.coffee), Jon Manning (Secret Lab), Paris Buttfield-Addison (Secret Lab) - Part 4
    29. From monolith to microservices: Design, build, deploy, learn - Elmer Thomas (Twilio SendGrid), Craig Dennis (Twilio) - Part 1
    30. From monolith to microservices: Design, build, deploy, learn - Elmer Thomas (Twilio SendGrid), Craig Dennis (Twilio) - Part 2
    31. Cloud native database tutorial - Josh Berkus (Red Hat) - Part 1
    32. Cloud native database tutorial - Josh Berkus (Red Hat) - Part 2
    33. Cloud native database tutorial - Josh Berkus (Red Hat) - Part 3
    34. Writing tutorial: Using blogging and great documentation to grow your open source project - Alison Spittel (DEV) - Part 1
    35. Writing tutorial: Using blogging and great documentation to grow your open source project - Alison Spittel (DEV) - Part 2
    36. Writing tutorial: Using blogging and great documentation to grow your open source project - Alison Spittel (DEV) - Part 3
    37. Hands-on with Vault on Kubernetes - Anubhav Mishra (HashiCorp) - Part 1
    38. Hands-on with Vault on Kubernetes - Anubhav Mishra (HashiCorp) - Part 2
    39. Hands-on with Vault on Kubernetes - Anubhav Mishra (HashiCorp) - Part 3
    40. Rusty sword arena: A crash course in Rust - Nathan Stocks (GitHub) - Part 1
    41. Rusty sword arena: A crash course in Rust - Nathan Stocks (GitHub) - Part 2
    42. Rusty sword arena: A crash course in Rust - Nathan Stocks (GitHub) - Part 3
    43. Rusty sword arena: A crash course in Rust - Nathan Stocks (GitHub) - Part 4
    44. Building a secure and transparent ML pipeline using open source technologies - Animesh Singh (IBM), Svetlana Levitan (IBM), Tommy Li (IBM) - Part 1
    45. Building a secure and transparent ML pipeline using open source technologies - Animesh Singh (IBM), Svetlana Levitan (IBM), Tommy Li (IBM) - Part 2
    46. Building a secure and transparent ML pipeline using open source technologies - Animesh Singh (IBM), Svetlana Levitan (IBM), Tommy Li (IBM) - Part 3
    47. Building AI assistants that scale using machine learning and open source tools - Justina Petraityte (Rasa) - Part 1
    48. Building AI assistants that scale using machine learning and open source tools - Justina Petraityte (Rasa) - Part 2
    49. Building AI assistants that scale using machine learning and open source tools - Justina Petraityte (Rasa) - Part 3
    50. Care and feeding of a healthy job hunt - VM Brasseur (Juniper Networks) - Part 1
    51. Care and feeding of a healthy job hunt - VM Brasseur (Juniper Networks) - Part 2
    52. Care and feeding of a healthy job hunt - VM Brasseur (Juniper Networks) - Part 3
    53. Care and feeding of a healthy job hunt - VM Brasseur (Juniper Networks) - Part 4
    54. Open chaos engineering in action - Russ Miles (ChaosIQ) - Part 1
    55. Open chaos engineering in action - Russ Miles (ChaosIQ) - Part 2
    56. Open chaos engineering in action - Russ Miles (ChaosIQ) - Part 3
    57. Building a deployment pipeline with Jenkins 2 - Brent Laster (SAS) - Part 1
    58. Building a deployment pipeline with Jenkins 2 - Brent Laster (SAS) - Part 2
    59. Building a deployment pipeline with Jenkins 2 - Brent Laster (SAS) - Part 3
    60. Making art with p5.js - Emily Xie (Sotheby's) - Part 1
    61. Making art with p5.js - Emily Xie (Sotheby's) - Part 2

Product information

  • Title: OSCON 2019 - Portland, Oregon
  • Author(s): O'Reilly Media, Inc.
  • Release date: July 2019
  • Publisher(s): O'Reilly Media, Inc.
  • ISBN: 9781492050636