Keynote: Design for Continuous Evolution

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Continuous evolution is the ability to add features easily to a running service while maintaining high availability, which is the key to high velocity in development. A repeated theme is a focus on immutability at many layers so that we can decouple specification from instantiation. Similarly, declarative techniques allow us to say what we mean rather than script one way to do it, which enables automation. Finally, specialization of APIs enables better support for classes of tasks, including those that are stateless or best effort.

Speaker: Eric Brewer

CAP Theorem Creator, VP Infrastructure @Google, CS Professor @UCBerkeley

Dr. Brewer joined Google in May 2011 and leads the company’s compute infrastructure design. He focuses on all aspects of Internet­ based systems including cloud computing, scalability, containers, and storage. As a researcher, Dr. Brewer has led projects on scalable servers, network infrastructure, IoT, and the CAP Theorem. He has also led work on technology for developing regions, with projects in India, Indonesia, and Kenya among others, and including communications, power, and health care. In 1996, he co­founded Inktomi Corporation with a Berkeley grad student and helped lead it onto the NASDAQ 100. In 2000, working with President Clinton, Dr. Brewer helped to create USA.gov, the official portal of the Federal government.

Find Eric Brewer at

Tracks

  • Architectures You've Always Wondered about

    Case studies from the most relevant names in software

  • Developer Experience: Toolchain, Continuous Delivery, & More

    Trends, tools and projects that we're using to maximally empower your developers.

  • DevOps & Site Reliability

    Failures, edge cases and how we're embracing them.

  • High Velocity Dev Teams

    Working Smarter as a team. Improving value delivery of engineers. Lean and Agile principles.

  • Immutable Infrastructures: Orchestration, Serverless, and More

    What's next in infrastructure. How cloud function like lambda are making their way into production.

  • Innovations in Fintech

    Technology, tools and techniques supporting modern financial services

  • Machine Learning 2.0

    Machine Learning 2.0, Deep Learning & Deep Learning Datasets

  • Microservices: Patterns & Practices

    Practical experiences and lessons with Microservices

  • Modern Clientside Apps

    Reactive, cross platform, progressive - webapp tech today

  • Modern CS in the Real World

    Applied, practical, & real-world dive into industry adoption of modern CS

  • Next Gen APIs

    Tooling, techniques, & practices building APIs today

  • Optimizing Yourself

    Maximizing your impact as an engineer, as a leader, and as a person

  • Security War Stories

    How our industry is being attacked and what you can do about it.

  • Stream Processing in Practice

    Rapidly moving data at scale.

  • Today's Java

    Lessons from 8, prepping for 9, and peeking ahead at 10. Innovators in Java.

Conference for Professional Software Developers