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Track: Delivering on the Promise of Containers

Location: Ballroom BC

Day of week: Tuesday

If you believe the hype, containers will automatically deploy your applications, guarantee zero downtime and store your leftovers. This track is the hitchhiker's guide to containers. We aim to provide an authentic view on how to get value out of containers while avoiding the common pitfalls. This track includes real stories and case studies of engineering organizations experiences.  We’ll track the journey from developer toy to production platform. We’ll also talk with companies that are operating at the bleeding edge of expanding the capabilities of these platforms. We aim to leave you with both a grounded view on where these technologies are today and a optimistic sense of where this is going tomorrow.

Track Host: Bryan Liles

Staff Engineer @heptio

Bryan Liles is an engineer at Heptio. When he is not writing software to help move teams to Kubernetes, he gets to speak at conferences on topics ranging from machine learning to building the next generation of developers. In his free time, Bryan races cars in straight lines and around turns and builds robots and devices.

10:35am - 11:25am

The Highs and Lows of Stateful Containers

As modern organizations have rapidly embraced containers in recent years, stateful applications have proven tougher to transition into this brave new world than other workloads. When persistent state is involved, more is required both of the container orchestration system and of the stateful application itself to ensure the safety and availability of the data. 
This talk will walk through my experiences trying to reliably run a distributed database on Kubernetes, optimize its performance, and help others do the same in their heterogeneous environments. We’ll look at what kinds of stateful applications can most easily be run in containers, which Kubernetes features and usage patterns are most helpful for running them, and a number of pitfalls I encountered along the way. Finally, we’ll ponder what’s missing and what the future may hold for stateful containers.

Alex Robinson, Member of Technical Staff @CockroachDB, previously SWE @GCPcloud

11:50am - 12:40pm

Disenchantment: Netflix Titus, its Feisty Team, and Daemons

Andrew Spyker, Manager, Netflix Container Cloud @Netflix

1:40pm - 2:30pm

The 10 Kubernetes Commandments

Bryan Liles, Staff Engineer @heptio
Carlos Amedee, Senior Software Engineer @digitalocean

2:55pm - 3:45pm

Control Theory In Container Orchestration

Containers offer 2 central promises: software as encapsulated and reproducible units. A key corollary of those promises is the ability to schedule and manage containers automatically. This session aims to give attendees a solid understanding of leveraging or building container orchestration using feedback signals. 
We’ll apply engineering control theory to key container management scenarios. This will cover basic principles of observing systems, controller design, and PID controllers. In particular, we’ll dive into container scaling controllers, using both first principles and proven designs from Kubernetes and Mesos.

Vallery Lancey, Software Developer and Cloud Specialist @Checkfront

4:10pm - 5:00pm

Chaos Engineering with Containers

Chaos Engineering is the practice of running thoughtful planned experiments to reveal weakness in our systems. In this session, Ana discusses the benefits of using Chaos Engineering to inject failures in order to make your container infrastructure more reliable. She will also share how to improve your container monitoring and observability.  Lessons learned from running Chaos Engineering GameDays with Gremlin customers will also be shared as case studies.

Ana Medina, Software Engineer @Gremlin

5:25pm - 6:15pm

Containers Open Space

Proposed Tracks

  • Delivering on the Promise of Containers

    Runtime containers, libraries and services that power microservices.

  • Evolving Java & the JVM

    6 month cadence, cloud-native deployments, scale, Graal, Kotlin, and beyond. Learn how the role of Java and the JVM is evolving.

  • Trust, Safety & Security

    Privacy, confidentiality, safety and security: learning from the frontlines.

  • Beyond the Web: What’s Next for JavaScript

    JavaScript is the language of the web. Latest practices for JavaScript development in and out of the browser topics: react, serverless, npm, performance, & less traditional interfaces.

  • Modern Operating Systems

    Applied, practical & real-world deep-dive into industry adoption of OS, containers and virtualization, including Linux on.

  • Optimizing You: Human Skills for Individuals

    Better teams start with a better self. Learn practical skills for IC.

  • Modern CS in the Real World

    Thoughts pushing software forward, including consensus, CRDT's, formal methods & probabilistic programming.

  • Human Systems: Hacking the Org

    Power of leadership, Engineering Metrics and strategies for shaping the org for velocity.

  • Building High-Performing Teams

    Building, maintaining, and growing a team balanced for skills and aptitudes. Constraint theory, systems thinking, lean, hiring/firing and performance improvement

  • Software Defined Infrastructure: Kubernetes, Service Meshes & Beyond

    Deploying, scaling and managing your services is undifferentiated heavy lifting. Hear stories, learn techniques and dive deep into what it means to code your infrastructure.

  • Practices of DevOps & Lean Thinking

    Practical approaches using DevOps and a lean approach to delivering software.

  • Operationalizing Microservices: Design, Deliver, Operate

    What's the last mile for deploying your service? Learn techniques from the world's most innovative shops on managing and operating Microservices at scale.

  • Developer Experience: Level up your Engineering Effectiveness

    Improving the end to end developer experience - design, dev, test, deploy and operate/understand.

  • Architectures You've Always Wondered About

    Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more

  • Machine Learning without a PhD

    AI/ML is more approachable than ever. Discover how deep learning and ML is being used in practice. Topics include: TensorFlow, TPUs, Keras, PyTorch & more. No PhD required.

  • Production Readiness: Building Resilient Systems

    Making systems resilient involves people and tech. Learn about strategies being used from chaos testing to distributed systems clustering.

  • Building Predictive Data Pipelines

    From personalized news feeds to engaging experiences that forecast demand: learn how innovators are building predictive systems in modern application development.

  • Modern Languages: The Right Language for the Job

    We're polyglot developers. Learn languages that excel at very specific tasks and remove undifferentiated heavy lifting at the language level.

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