Workshops:March 10-11, 2016
Track: Back to Java
Location:
- Fleming, 3rd flr.
Day of week:
- Monday
Back to Java is a forward looking track which examines some of the hardest problems Java developers hit when working with huge scale performance sensitive systems like those at Apple and LMAX. We’ll look at how these companies are tackling some of these problems, and what Java 9 and Spring 5 brings to the table.
by Juergen Hoeller
Co-founder and project lead of the Spring Framework
The Spring team is busily working on Spring Framework 5.0, with a release candidate scheduled for Q4 2016. This presentation covers the key themes in Spring 5, based on the current state of development: going Java 8+ across the entire framework codebase, comprehensive support for JDK 9, a strong focus on HTTP/2, and first-class support for Spring-style reactive architectures.
by Simon Ritter
Deputy CTO @Azul
Project Jigsaw will bring modularity to the Java platform; something that will enable better security, performance and flexibility for deployment of applications. This talk will look at the fundamentals of how modularity in Java will work. Developers will need to understand that these changes go significantly further than just separating the standard class libraries into a number of discrete units.
This talk will explain the impact project Jigsaw will have on developers in terms of...
by Norman Maurer
Netty Core Developer & Cloud Infrastructure Engineering @Apple
Learn how Apple uses Netty for its Java based Services and the challenges of doing so, including how we enhanced performance by participating in the Netty OpenSource community. A deep dive into advanced topics like JNI, JVM internals, among others, will be included.
by Mark Price
Senior Developer @LMAX
What is the JVM warm-up problem, and how does it affect our software? How can we aid the runtime in optimising our programs, and is it even a good idea to do so?
This presentation explores the lifecycle of Java code, and how the JVM evolves the runtime representation of code during program execution. From bytecode to assembly and back again (via some uncommon traps), we will cover practical tips on ensuring that Java code is running fast when it matters most.
by Monica Beckwith
Led the performance effort for Java's G1 Garbage Collector
This is a G1 readiness session. In this session, attendees will learn more about G1 pause (young and mixed) composition, G1's remembered sets and collection set and G1's concurrent marking algorithm. The speaker will also cover performance tuning advice for "taming" mixed collections and evacuation failures.
by Richard Kasperowski
Author of The Core Protocols: A Guide to Greatness
Open Space
Tracks
Covering innovative topics
Monday, 7 March
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Back to Java
What to expect in Java 9 and Spring 5
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Stream Processing @ Scale
Big data, fast-moving data. Practical implementation lessons on Real-time Data
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DevOps & CI/CD
Lessons/stories on optimizing the deployment pipeline
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Head-to-Tail Functional Languages
Free-range Monads, Tackling immutability, tales from production, and more...
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Architecting for Failure
Your system will fail. Take control before it takes you with it
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21st Century Culture from Geeks on the Ground
New ways to organise technology companies and workplace culture
Tuesday, 8 March
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Architectures You've Always Wondered about
In-depth technical case studies from giants like: Microsoft, Netflix, Google, Twitter, and more...
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Close to the Metal
Get efficiency back into your code, concepts like: cache efficient algorithm and lock free data structures
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Containers (in production)
Real-world lessons on scalability and reliability in production container deployments
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Modern CS in the real world
Real-world Industry adoption of modern CS ideas
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Security, Incident Response & Fraud Detection
Master-level classes on building security into your system and responding to incidents when things go wrong.
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Optimizing You
Keeping life in balance is always a challenge. Learning lifehacks
Wednesday, 9 March
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Disrupting Finance
Technology advances in finance (blockchain, P2P, Machine Learning, API's)
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Modern Native Languages
Modern native languages: Safe efficiency with Go, Rust, Swift
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Full Stack Javascript
Level up Javascript with topics like Angular, React/ReactNative, Node, Mongo/Couch/Other, Falcor, GraphQL, etc
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Data Science & Machine Learning Methods
A developer's data science and machine learning toolkit
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Microservices for Mega-Architectures
Practical lessons on Microservices success.
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Modern Agile Development
Revisiting Agile today and tackling challenges we are seeing in the wild
