InfoQ Homepage Performance Content on InfoQ
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Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines
InfoQ Interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline
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Stop Measuring Turn Around Time
Are you patting yourself on the back for remarkable turn around times while simultaneously neglecting your customers? It's tempting to think that timeliness matters when in fact it rarely does. Stop measuring turn around time and start learning what matters to customers.
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Living in the Matrix with Bytecode Manipulation
In this article we take a deep dive into two popular bytecode manipulation frameworks: Javassist & ASM. Bytecode manipulation is used in Java libraries like Spring and Hibernate, most JVM languages and even your IDE. For this reason, and because it’s really quite fun, it is a valuable skillset to learn for performing tasks that are otherwise impossible. And once you learn it, the sky's the limit!
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Production Like Performance Tests of Web-Services
Tests should always keep the end user view in mind. But how to test web services, which are not directly customer-facing, and in particular, how to performance test them in a meaningful way? This article outlines performance split testing as a performance test approach that is relying on real-time production traffic.
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Top 10 Performance Mistakes
Martin Thompson, co-founder of LMAX, keynoted at QCon São Paulo 2016, outlining the top 10 performance related mistakes that he has encountered in production.
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Article Series: Containers in the Real World - Stepping Off the Hype Curve
This article series explains how containers are actually being used within the enterprise. It dives into the core technology behind containers and how this is currently being used by developers, examines core challenges with deploying containers in the enterprise and the future of containerisation, and discusses the role unikernels are currently playing within leading-edge organisations.
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Diagnosing Common Database Performance Hotspots in our Java Code
Java performance issues are often attributable to bad database access patterns. In this article a top performance field engineer demonstrates his patterns for diagnosing database related issues.
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Q&A on the book Visualization Examples
The book Toolbox for the Agile Coach - Visualization Examples by Jimmy Janlén can be used by agile software development teams to visualize and improve their collaboration and communication. InfoQ interviewed Janlén about the strengths of visualizations and how teams can use them to track progress, deal with blockers, celebrate successes and improve.
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“DevOps: A Software Architect's Perspective” Book Review and Interview
Len Bass on the motivation for "DevOps: A Software Architect's Perspective", what does looking at DevOps from an architectural perspective mean, DevOps education, microservices and more.
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The Soul of a New Release: Eating Our Own Dog Food
As any software developer well knows, large releases are often delayed, or released sans some important features, and newly released software is often riddled with bugs. In this article Plumbr's development lead describes techniques they used to successfully release a major upgrade to the Plumbr Java Performance Monitoring solution, without getting burned by the usual fires.
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Q&A on Real World Kanban
The book Real World Kanban by Mattias Skarin provides four case studies where kanban is used to visualize, provide insight and improve product development. InfoQ interviewed Skarin about the essence of kanban and lean, why flexibility in organizations is needed, doing continuous improvement, how visualization can help to understand problems, and advice on how to get started with kanban.
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Scaling Docker with Kubernetes V1
Find out what's new in Kubernetes V1 with a Jenkins example in Google Container Engine (and locally with Vagrant). Kubernetes V1 brings enterprise-level capabilities such as self healing, service discovery, dynamic DNS, resource quotas, centralized logging, network isolation, resource quotas. In short, Kubernetes V1 makes management of Docker fleets easier.