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Matt Warren takes a look at how to measure, what to measure and how get the best performance from .NET code, considering examples from the Roslyn codebase and StackOverflow (the product).
Saul Caganoff discusses the different use cases for API consumption and the technical affordances API designers can provide to support those use cases.
Alan Ngai and Premal Shah discuss best practices and strategies on monitoring distributed real-time data processing frameworks and how DevOps can gain control and visibility over these data pipelines.
What makes an agile team successful is not the “process” nor the “tools” but rather the way people develop an effective level of interaction with each other. Growing agile means both focusing on culture, and on co-evolution of practices and tools.
In this article we review the book Infrastructure as Code - Managing Servers in the Cloud written by Kief Morris, who is leading Continuous Delivery and DevOps at ThoughtWorks Europe. In over 300 pages, Morris lays down the foundation for Infrastructure as Code and outlines the main patterns and practices recommended for building it.
San FranciscoNov 7-11
LondonMar 6-10, 2017
New YorkJun 26-30, 2017
Performance and How to Measure It
Category Theory for the Working Hacker
ChakraCore Now Works on Linux and Mac OS
Using Models in Developing Software for Self-Driving Cars
OCF Will Run Over Thread
Business Process Orchestration & APIs
Growing Agile… Not Scaling!
Agile Organization - Creating the Climate for Innovation
DeepMind AI Program Increases Google Data Center Cooling Power Usage Efficiency by 40%
Facebook Open-Sources Deep Learning Project Torchnet
Monitoring and Troubleshooting Real-Time Data Pipelines
Blending Agility and DevOps with Local Cultures at Barclays
Oracle Paves the Way to Standardise Command Line Options in the JDK
Book Review and Excerpt: Infrastructure as Code
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