InfoQ Homepage DevOps Content on InfoQ
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Keynote: System, Heal Thyself
Mike Andrews discusses architecting for failure even you when don’t know what might fail.
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Polyglot Parallelism: A Case Study in Using Erlang and Ruby at Rackspace
Phil Toland discusses using Erlang and Ruby providing backup for 20k network devices running in 8 datacenters across 3 continents for Rackspace’s operations.
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12 Factor App
Craig Kersteins discusses 12 principles underlying Heroku’s approach to deploying applications.
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Theory Meets Reality: Managing IT Systems at the Greek Ministry of Finance
Diomidis Spinellis discusses measures, methods, tools and techniques used in a fight against widespread tax evasion, bureaucracy, fraud and corruption in Greece.
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Saving the World (from|with) Big Data
Bruce Durling discusses the impact of cloud computing on the climate and what can be done to reduce the amount of CO2 generated by data centers in order to process big data.
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What Are Clouds Made Of?
John Garbutt discusses the components used for building a cloud, comparing different cloud offerings existing on the market.
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Caching, NoSQL & Grids - What the Banks Can Teach Us
John Davies shares insight into SQL, NoSQL, grid, virtualization and caching technologies from his personal experience using them in financial institutions.
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Need Some Cache? Redis in Depth
Chris Meadows introduces Redis, explaining what it is good for, what does it take to be run, and what’s under the hood through a social networking code example.
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Netflix: Movies, When You Want, Where You Want, from the Cloud!
Jeremy Edberg discusses running Netflix services on AWS: storage, streaming and scaling solutions, multi-region deployments, why cloud over private data center, and architectural snapshots.
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The Database as a Value
Rich Hickey discusses the complexity introduced by a database into a system, and a way to deal with it by using Datomic. He also discusses immutability, epochal time, and persistent data structures.
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Scalable Internet Architectures
Theo Schlossnagle presents several architectural design principles useful for building scalable systems starting from the networking up to the application layer.
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"Big Data" and the Future of DevOps
Ram C Singh discusses using Big Data for infrastructure telemetry along with good practices and an autonomic engine to create an autonomic computing infrastructure that might prevent downtime.
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