Conference: Jun 26-28, 2017
Workshops: Jun 29-30, 2017
Workshop: Understanding Latency & Application Responsiveness
Location:
- Dumbo / Navy Yard
Date:
Fri, 17 JunPrerequisites
Managing, monitoring, and improving application responsiveness is a common need for many software professionals. Whether you develop applications or manage them, understanding application responsiveness and the major mechanisms that affect it is key to achieving successful applications and happy users. In this workshop, Gil Tene (CTO, Azul Systems) will provide a an in-depth overview of Latency and Response Time Characterization, including proven methodologies for measuring, reporting, and investigating latencies, and and overview of some common pitfalls encountered (far too often) in the field.
WHAT WILL I LEARN Our discussion will include an exploration of the common needs and motivations for understanding the behaviour of application response time and latency, and ways to successfully capture these descriptions and relate them to business needs. However, even good characterization of bad data is useless. If measurements of response time present false or misleading latency information, even the best analysis can lead to wrong operational decisions and poor application experience. We will demonstrate and discusses some common pitfalls, false assumptions and problematic measurement techniques that lead to dramatically incorrect reporting results, and will explain how these false measurements naturally occur using the most common measurement methods and tools in use today. We will discuss the coordinated data omission problem, and ways to work around it, and will introduce and demonstrate how simple and recently open sourced tools can be used to improve and gain higher confidence in both latency measurement and reporting. The workshop will include interactive walk throughs of commonly used load generation and latency measurement code to demonstrate some of specific issues discussed, and examine various ways to correct or avoid the issues in actual use. While the material generally applies to all application environments, specific considerations in garbage collected environments (such as Java) will also be covered.
WHO SHOULD ATTEND DevOps, software developers, architects, engineers and anyone with an interest understanding latency , response time, and how to both require and get better performance and behaviour from your applications
Other Workshops:
Tracks
Monday, 13 June
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Architectures You've Always Wondered About
Case studies from: Google, Linkedin, Alibaba, Twitter, and more...
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Stream Processing @ Scale
Technologies and techniques to handle ever increasing data streams
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Culture As Differentiator
Stories of companies and team for whom engineering culture is a differentiator - in delivering faster, in attracting better talent, and in making their businesses more successful.
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Practical DevOps for Cloud Architectures
Real-world lessons and practices that enable the devops nirvana of operating what you build
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Incredible Power of an Open-Sourced .NET
.NET is more than you may think. From Rx to C# 7 designed in the open, learn more about the power of open source .NET
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Sponsored Solutions Track 1
Tuesday, 14 June
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Better than Resilient: Antifragile
Failure is a constant in production systems, learn how to wield it to your advantage to build more robust systems.
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Innovations in Java and the Java Ecosystem
Cutting Edge Java Innovations for the Real World
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Modern CS in the Real World
Real-world Industry adoption of modern CS ideas
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Containers: From Dev to Prod
Beyond the buzz and into the how and why of running containers in production
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Security War Stories
Expert-level security track led by well known and respected leaders in the field
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Sponsored Solutions Track 2
Wednesday, 15 June
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Microservices and Monoliths
Practical lessons on services. Asks the question when and when to NOT go with Microservices?
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Modern API Architecture - Tools, Methods, Tactics
API-based application development, and the tooling and techniques to support effectively working with APIs in the small or at scale. Using internal and external APIs
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Commoditized Machine Learning
Barriers to entry for applied ML are lower than ever before, jumpstart your journey
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Full Stack JavaScript
Browser, server, devices - JavaScript is everywhere
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Optimizing Yourself
Keeping life in balance is always a challenge. Learning lifehacks
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Sponsored Solutions Track 3