InfoQ Homepage Case Study Content on InfoQ
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Real World Experience Report on Running Docker
Ben Hall shares his experience working with Docket for development, testing and deployment into production, discussing scalability, resource management, security and other related issues.
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Life of a Twitter JVM Engineer
Tony Printezis presents how services are deployed and monitored at Twitter, the benefits of using a custom-built JVM, and the challenges of the use of the JVM in an environment like Twitter.
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Real-time Stream Computing & Analytics @Uber
Sudhir Tonse discusses using stream processing at Uber: indexing and querying of geospatial data, aggregation and computing of streaming data, extracting patterns, TimeSeries analyses and predictions.
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Domain Architecture Isomorphism: How Spotlight Inverted Conway's Law
Dylan Beattie discusses the challenges faced restructuring Spotlight so their organization aligns with the natural domain boundaries of their business.
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Flying Faster with Heron
Karthik Ramasamy presents the design and implementation of Heron, the new de facto stream data processing engine at Twitter. Ramasamy shares Twitter’s experience of running Heron in production.
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Microservices Chaos Testing at Jet
Rachel Reese talks about Jet.com's chaos testing methods and code in depth, but also lays out a path to implementation that everyone can use.
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Resilience Planning & How the Empire Strikes Back
Bhakti Mehta approaches best practices for building resilient, stable and predictable services: preventing cascading failures, timeouts pattern, retry pattern, circuit breakers and other techniques.
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Architecting Distributed Databases for Failure
Fangjin Yang covers common problems and failures seen with distributed systems, and discusses design patterns that can be used to maintain data integrity and availability when everything goes wrong.
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Building Highly-resilient Systems at Pinterest
Yongsheng Wu talks about how to build highly-resilient systems at scale. Wu presents also failure cases that prompted engineers at Pinterest to build such systems, and how they test these systems.
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Containers at Netflx - An Evolving Story
Sangeeta Narayanan looks at the role of containers in simplifying and increasing the reliability of the process of releasing and operating the Netflix software.
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Inside Yelp's SOA Infrastructure
Kyle Anderson discusses details on how to tie Mesos, Docker, SmartStack, Haproxy, Git, and Sensu all together into a coherent system that developers can use to ship their code in a self-serve way.
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Developing Customer Empathy
Chris Witeck covers key lessons learned by Citrix Labs as they tackle their goal of customer led innovation, discussing empathy mapping which involves showing off an idea and collecting feedback.