InfoQ Homepage DevOps Content on InfoQ
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When Containers Attack!
Anne Currie dives deep into history: what the past can tell us about full stack engineers, popular tech platforms and the dangers of searching for the perfect technology.
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Scio: Moving Big Data to Google Cloud, a Spotify Story
Neville Li tells the Spotify’s story of migrating their big data infrastructure to Google Cloud, replacing Hive and Scalding with BigQuery and Scio, which helped them iterate faster.
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Continuous Delivery the Hard Way with Kubernetes
Luke Marsden assembles a CI/CD pipeline from scratch to Kubernetes using GitLab CE as an example. The talk is mostly demos.
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Deliver Docker Containers Continuously on AWS
Philipp Garbe discusses ECS and all other services needed to run containers in production, automatically deploying and scaling an ECS cluster and containerized applications.
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Scaling Instagram Infrastructure
Lisa Guo overviews Instagram's infrastructure, its history, multi-data center support, tuning uwsgi parameters for scaling, performance monitoring and diagnosis, and Django/Python upgrade.
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Hybrid Code-Gen: Designing Cloud Service Client Libraries
Jon Skeet discusses using hybrid code generating to create cloud client libraries in a way that does not affect the future evolution of a service API.
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Building Reliability in an Unreliable World
Greg Murphy describes how GameSparks has designed their platform to be tolerant of many things: unreliable and slow internet connectivity, cloud resources that can fail without warning, and more.
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Challenging Perceptions of NHS IT
Edward Hiley, Dan Rathbone talk about how NHS Digital has built a highly secure and resilient system for processing patient data, applying techniques more often used in the cloud to bare metal servers
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Building and Trusting a Cloud Bank
Greg Hawkins discusses how Starling Bank, part of the new movement in FinTech challenger banks, is innovating while addressing the need for resilience in a world where failure is everywhere.
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Testing Programmable Infrastructure with Ruby
Matt Long talks about some approaches to environment infrastructure testing that his team at OpenCredo has created using Ruby.
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Big Data Infrastructure @ LinkedIn
Shirshanka Das describes LinkedIn’s Big Data Infrastructure and its evolution through the years, including details on the motivation and architecture of Gobblin, Pinot and WhereHows.
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From Data Science to Production–Deploy, Scale, Enjoy
Sergii Khomenko introduces best practices in development, covers production deployments to the AWS stack, and using the serverless architecture for data applications.
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