Conference:March 6-8, 2017
Workshops:March 9-10, 2017
Workshop: High Performance Microservices
Location:
- Abbey, 4th flr.
When:
- Friday
Key takeaways
JVM internals
System profiling tools
Benchmarking methods
Performance monitoring and metrics collection
High-performance programming techniques
Prerequisites
JDK 8 installed, gradle 3.2.1+ installed. Participants should be happy working with files in a terminal & standard tools for text parsing such as 'grep'
A full-day course exploring techniques for improving the performance of microservices.
We will begin by considering a very simple JSON/REST-based service, built using a few popular open-source libraries. In order to measure any improvements made during the course, the next step will be to add a simple load-testing harness and monitoring capabilities for latency and throughput.
At this point, we will spend some time reviewing the gathered metrics, and determining some areas for improvement to help us understand where performance problems lie.
Now that suitable monitoring is in place, we will then apply a scientific approach to experimentation. This will be an iterative process where we will continue to improve the performance of the service to its limits.
Other Workshops:
Tracks
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Architecting for Failure
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Architectures You've Always Wondered about
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Modern Distributed Architectures
Migrating, deploying, and realizing modern cloud architecture.
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Fast & Furious: Ad Serving, Finance, & Performance
Learn some of the tips and technicals of high speed, low latency systems in Ad Serving and Finance
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Java - Performance, Patterns and Predictions
Skills embracing the evolution of Java (multi-core, cloud, modularity) and reenforcing core platform fundamentals (performance, concurrency, ubiquity).
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Performance Mythbusting
Performance myths that need busting and the tools & techniques to get there
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Dark Code: The Legacy/Tech Debt Dilemma
How do you evolve your code and modernize your architecture when you're stuck with part legacy code and technical debt? Lessons from the trenches.
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Modern Learning Systems
Real world use of the latest machine learning technologies in production environments
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Practical Cryptography & Blockchains: Beyond the Hype
Looking past the hype of blockchain technologies, alternate title: Weaselfree Cryptography & Blockchain
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Applied JavaScript - Atomic Applications and APIs
Angular, React, Electron, Node: The hottest trends and techniques in the JavaScript space
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Containers - State Of The Art
What is the state of the art, what's next, & other interesting questions on containers.
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Observability Done Right: Automating Insight & Software Telemetry
Tools, practices, and methods to know what your system is doing
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Data Engineering : Where the Rubber meets the Road in Data Science
Science does not imply engineering. Engineering tools and techniques for Data Scientists
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Modern CS in the Real World
Applied, practical, & real-world dive into industry adoption of modern CS ideas
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Workhorse Languages, Not Called Java
Workhorse languages not called Java.
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Security: Lessons Learned From Being Pwned
How Attackers Think. Penetration testing techniques, exploits, toolsets, and skills of software hackers
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Engineering Culture @{{cool_company}}
Culture, Organization Structure, Modern Agile War Stories
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Softskills: Essential Skills for Developers
Skills for the developer in the workplace