Conference:March 6-8, 2017
Workshops:March 9-10, 2017
Track: Observability Done Right: Automating Insight & Software Telemetry
Location:
- Whittle, 3rd flr.
Day of week:
- Wednesday
Tools, practices, and methods to know what your system is doing
by Sarah Wells
Principal Engineer @FT (Financial Times)
Microservices can be a great way to work: the services are simple, you can use the right technology for the job, and deployments become smaller and less risky. Unfortunately, other things become more complex. You probably took some time to design a deployment pipeline and set up self-service provisioning, for example. But did the rest of your thinking about what “done” means catch up? Are you still setting up alerts, run books, and monitoring for each...
by Daniel Rolls
Collecting and Interpreting Large-Scale Data Collected @SkyUK
With the recent surge in highly available microsevervices with high incoming traffic, it is becoming more and more important to know how your service is performing right now and to be able to diagnose issues in production quickly. It took a while for us to understand how to produce meaningful graphs and alerts that help us truly understand our application performance.
We initially found that most developers did not understand...
by Rafal Gancarz
Lead Consultant @OpenCredo
Serverless architectures are attracting more and more interest from the IT professionals and companies hoping to lower the costs of creating and operating distributed systems without constant worrying about availability, scalability and capacity management. Despite all the attractive properties that serverless architectures offer, such systems still need to be comprehensively monitored to be effectively operated and maintain the expected quality of service and...
by Dr. Stefanos Zachariadis
Senior Software Engineer
Modern software development allows us to prove that new work is functionally complete. We write a set of executable specifications. We automatically execute them in the form of acceptance tests as part of our continuous delivery pipeline. When all the tests pass, we are done!
This approach is superior to what came before it but is by no means perfect. Testing frequently ends at the point of release, meaning that bugs in...
by Peter Lawrey
Gold Badges Java, JVM, Memory, & Performance @StackOverflow / Lead developer of the OpenHFT project
What is a way to have complete transparency of the state of a service? Ideally we would record everything - the inputs, outputs and timings - in order to capture highly reproducible and transparent state changes. However, is it possible to record every event or message in and out of a service without hurting performance? Join Peter for an exploration of the use cases and practicalities for having downstream services consuming all of the state changes of an upstream service in order to...
Tracks
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Architecting for Failure
Building fault tolerate systems that are truly resilient
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Architectures You've Always Wondered about
QCon classic track. You know the names. Hear their lessons and challenges.
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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