Track: Performance Mythbusting

Location: Bayview AB

Day of week: Monday

Real world, applied performance proofs across stacks. Hear performance consideratiosn for .NET, Python, & Java. Learn performance use cases with OpenJ9, Instagram, and Netflix. 

Track Host:
Monica Beckwith
JVM Perf & previous G1GC Perf Lead @Oracle

Monica Beckwith is an Independent Consultant specializing in optimizing the Java Virtual Machine and the Garbage Collectors for enterprise applications. She is a regular speaker at various conferences and has several published articles on topics including garbage collection, the Java memory model and others. Monica led Oracle's Garbage First Garbage Collector performance team, and was named a JavaOne 2013 Rock Star.

10:35am - 11:25am

by Ben Watson
Principal Software Engineer @Microsoft focused on High-Performance .NET

Microsoft's online services, especially Bing, are some of most important proving grounds for running .Net in large-scale, highly available systems. The platform that underlies Bing also runs significant online functionality for Cortana, Office, Xbox, Windows and more.

When deciding how to build core infrastructure for the next version of Microsoft's query serving platform, we had to make a number of hard choices. First and...

11:50am - 12:40pm

by Sergey Kuksenko
Java Performance Engineer @Oracle

Since Java 8, CompletableFuture has enabled asynchronous, future-based programming in Java and is one of the most powerful features suitable for creating asynchronous APIs. This presentation, based on real project experience, goes beyond the CompletableFuture public API. It reveals internal details and shows who stands to benefit from it for better performance.

1:40pm - 2:30pm

by Monica Beckwith
JVM Perf & previous G1GC Perf Lead @Oracle

by Sergey Kuksenko
Java Performance Engineer @Oracle

by Ben Watson
Principal Software Engineer @Microsoft focused on High-Performance .NET

by Min Ni
Engineering Manager @Instagram

by Ioannis Papapanagiotou
Senior Software Engineer @Netflix

by Vinay Chella
Cloud Data Architect @Netflix

2:55pm - 3:45pm

by Marius Pirvu
Advisory Software Developer @IBM

Curious about Java application and JVM performance and how they are continuing to evolve? Come to this talk to learn more about exciting results and new advancements in the area of JVM performance using the latest open source JVM technology at Eclipse OpenJ9 running with OpenJDK! We'll talk about new performance boosts across a wide variety of applications and present results using different workloads and metrics to give you a fuller picture of what to expect from OpenJ9. We will also...

4:10pm - 5:00pm

by Min Ni
Engineering Manager @Instagram

Instagram server is one of the biggest Python deployments in the world to support more than 700M active users. At Instagram, the computing parallelism is based on multi-processing instead of threading. Memory utilization becomes critical in such model, i.e., with less memory per process, we are able to improve the parallelism hence overall capacity. In this talk, we will start with how Python memory profiling is done at Instagram, what useful insights we got from...

5:25pm - 6:15pm

by Ioannis Papapanagiotou
Senior Software Engineer @Netflix

by Vinay Chella
Cloud Data Architect @Netflix

Netflix runs thousands of microservices to serve more than 100M users everyday. These services are backed by large fleet of data store instances running on the public cloud. It is nearly impossible to predict the traffic patterns imposed by our architecture upon our data stores. We needed a framework that would help us determine the behavior of our platform systems under various workloads. We wanted to be mindful of provisioning our clusters, scaling them either horizontally (by adding nodes...

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Tracks

  • Architectures You've Always Wondered About

    Architectural practices from the world's most well-known properties, featuring startups, massive scale, evolving architectures, and software tools used by nearly all of us.

  • Going Serverless

    Learn about the state of Serverless & how to successfully leverage it! Lessons learned in the track hit on security, scalability, IoT, and offer warnings to watch out for.

  • Microservices: Patterns and Practices

    Stories of success and failure building modern Microservices, including event sourcing, reactive, decomposition, & more.

  • DevOps: You Build It, You Run It

    Pushing DevOps beyond adoption into cultural change. Hear about designing resilience, managing alerting, CI/CD lessons, & security. Features lessons from open source, Linkedin, Netflix, Financial Times, & more. 

  • The Art of Chaos Engineering

    Failure is going to happen - Are you ready? Chaos engineering is an emerging discipline - What is the state of the art?

  • The Whole Engineer

    Success as an engineer is more than writing code. Hear inward looking thoughts on inclusion, attitude, leadership, remote working, and not becoming the brilliant jerk.

  • Evolving Java

    Java continues to evolve & change. Track covers Spring 5, async, Kotlin, serverless, the 6-month cadence plans, & AI/ML use cases.

  • Security: Attacking and Defending

    Offense and defensive security evolution that application developers should know about including SGX Enclaves, effects of AI, software exploitation techniques, & crowd defense

  • The Practice & Frontiers of AI

    Learn about machine learning in practice and on the horizon. Learn about ML at Quora, Uber's Michelangelo, ML workflow with Netflix Meson and topics on Bots, Conversational interfaces, automation, and deployment practices in the space.

  • 21st Century Languages

    Compile to Native, Microservices, Machine learning... tailor-made languages solving modern challenges, featuring use cases around Go, Rust, C#, and Elm.

  • Modern CS in the Real World

    Applied trends in Computer Science that are likely to affect Software Engineers today. Topics include category theory, crypto, CRDT's, logic-based automated reasoning, and more.

  • Stream Processing In The Modern Age

    Compelling applications of stream processing using Flink, Beam, Spark, Strymon & recent advances in the field, including Custom Windowing, Stateful Streaming, SQL over Streams.