InfoQ Homepage Agile Content on InfoQ
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Lessons Learned in Deploying PaaS
Colin Humphreys discusses PaaS: why they chose a certain PaaS solution for their customers, PaaS in ALM, lessons learned from their experiences and what to expect from different PaaS vendors.
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It's about People - How Agile and UX Can Play Well Together
Johanna Kollmann shares practices for doing UX work in an agile environment where people-thinking is at the center of the team.
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Crazy Fast Build Times or When 10 Seconds Starts to Make You Nervous
Daniel Worthington-Bodart presents ways to reduce the built times by a factor of 10.
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Agile Adoption is Fool's Gold (and other Stories from the Coal Face)
Rob Bowley shares lessons learned while doing Agile: Scrum is not that bad, Don’t call it Agile, Doing the right thing vs doing it right, Identify the change agents, Hire good people, etc.
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Clojure-powered Startups
Paul deGrandis examines three startups and their technology needs, risk and tradeoffs, presenting how Clojure did its part in their success.
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Agile Planning
Amir Barylko introduces Agile principles, techniques, and practices that are meant to smooth the path to successful projects.
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What Can DevOps Learn from Formula 1?
Stephen Burton discusses how the people, processes, collaboration and tools employed in Formula 1 can be used to manage performance and reliability and ultimately achieve success by DevOps.
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Building Technology Mid-flight
Sam Hamilton discusses the technological, architectural and organizational changes an organization goes through in the process of upgrading its software stack without interrupting daily business.
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Zero to Ten Million Daily Users in Four Weeks: Sustainable Speed Is King
Jodi Moran discusses achieving sustainable speed through: iterate and automate, use commodity technology, analyze and improve, build services, create a high-speed culture.
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Using Monitoring and Metrics to Learn in Development
Patrick Debois discusses the current state of monitoring and metrics, how developers and the company can benefit from them, and how to improve the collection of metrics and the monitoring process.
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Evident Code, at Scale
Stuart Halloway shares advice on creating evident code that scales. Evident code is software that clearly expresses its meaning and purpose.
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NetApp Case Study
Kumar Palaniapan and Scott Fleming present how NetApp deals with big data using Hadoop, HBase, Flume, and Solr, collecting and analyzing TBs of log data with Think Big Analytics.