InfoQ Homepage DevOps Content on InfoQ
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The Four Pillars of DevOps: Agility for the Enterprise
John Shaw discusses four pillars to DevOps: Environments, Deployment, Testing and People based on experiences developing financial systems for governmental clients.
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Explore Your Data: The Fundamentals of Network Analysis
Amy Heineike covers how to construct clean (and avoid hairball) networks, effective ways to analyze them, as well as open source options for visualizing and interacting with your graphs.
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Metrics-Driven Prioritization
Sam McAfee outlines an approach they are using at Neo to help their clients integrate business metrics and probabilistic modeling into their prioritization process.
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How We Learned to Stop Worrying and Start Deploying the Netflix API Service
Sangeeta Narayanan goes over how Netfix got to the current continuous delivery state, the lessons they learnt and the successes they enjoyed along the way.
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Groovy for System Administrators
Daniel Woods discusses Enterprise Operations which is seeing a shift in the management paradigm of infrastructure.
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1.5 Million Log Lines Per Second: Building and Maintaining Flume Flows at Conversant
Mike Keane presents how Conversant migrated to Flume, managing 1000 agents across 4 data centers, processing over 50B log lines per day with peak hourly averages of over 1.5 million log lines/sec.
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Continuous Delivery for the Rest of Us
Lisa Van Gelder provides simple tips and tricks for improving delivery without investing lots of time up front creating complex deployment frameworks.
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How DevOps and the Cloud Changed Google Engineering
Melody Meckfessel explores how Google's engineering teams use CD to build products and scale them, and how their strain of DevOps speeds launches and helps their engineering culture thrive.
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Unleash the Power of HBase Shell
Jayesh Thakrar shows what can be done with irb, how to exploit JRuby-Java integration, and demonstrates how the Shell can be used in Hadoop streaming to perform complex and large volume batch jobs.
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Painless Build and Deploy for YARN Applications with Spring
Janne Valkealahti shows how Spring provides a simple programming model to develop applications that can easily be tested and deployed as either a YARN application or a traditional application.
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Building a Data Pipeline with the Tools You Have - An Orbitz Case Study
Steve Hoffman, Ken Dallmeyer share their experience integrating Hadoop into the existing environment at Orbitz, creating a reusable data pipeline, ingesting, transporting, consuming and storing data.