InfoQ Homepage Performance Content on InfoQ
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From 0 to 1000 Apps: The First Year of Cloud Foundry at The Home Depot
Anthony McCulley describes The Home Depot’s first year with Cloud Foundry, adopting the platform, scaling to hundreds of developers across multiple data centers, and mistakes made along the way.
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Applying Java 8 Idioms to Existing Code
Trisha Gee highlights the performance benefits of using Java 8, pros and cons, identifying code that makes sense to refactor with lambdas and streams, and what changes provide the most benefit.
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Chaos Kong - Endowing Netflix with Antifragility
Luke Kosewski describes Flow, how it adds value to a microservice architecture, what preconditions must be met for such a recovery mechanism to succeed, and tells the story of a 2015 Q4 outage.
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Unorthodox Paths to High Performance
Alex Rasmussen examines some lessons learned while building record-setting sorting systems at UC San Diego.
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Faster Ruby, JS and Other Languages Using Graal and Truffle
Chris Seaton introduces Graal, Oracle Labs' new JIT compiler written in Java, enabling new research into optimizations, and Truffle, a framework for implementing languages that uses Graal.
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Scaling Container Architectures with OSS & Mesos
David Greenberg discusses how Two Sigma was able to scale up their research to harness tens of thousands of CPUs and the challenges faced.
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Scaling Uber to 1,000 Services
Matt Ranney talks about Uber’s growth and how they’ve embraced microservices. This has led to an explosion of new services, crossing over 1,000 production services in early March 2016.
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Scaling Agile - The View from Above
Tony Grout and Chris Matts share stories from their several year multi-company journey towards scaled agile, showing how to look at Agile from an organizational perspective and not through tools.
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Performance and How to Measure It
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).
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Effortless Eventual Consistency with Weave Mesh
Peter Bourgon and Matthias Radestock explain the theory behind Weave Mesh, some of the important key features, and demonstrate some exciting use cases, like distributed caching and state replication.
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Monitoring and Troubleshooting Real-Time Data Pipelines
Alan Ngai and Premal Shah discuss best practices on monitoring distributed real-time data processing frameworks and how DevOps can gain control and visibility over these data pipelines.
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Successful Go Program Design, 6 Years On
Peter Bourgon presents some of the idioms, design patterns, and practices that have proven themselves developing successful, scalable, and sustainable code using Go.
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