InfoQ Homepage IaaS Content on InfoQ
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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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Petabytes Scale Analytics Infrastructure @Netflix
Tom Gianos and Dan Weeks discuss Netflix' overall big data platform architecture, focusing on Storage and Orchestration, and how they use Parquet on AWS S3 as their data warehouse storage layer.
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Implementing Software Machines in Go and C
Eleanor McHugh discusses writing virtual machines using hardware emulation, including code snippets in Go and C.
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API Virtualization – Mocking on Steroids
Ole Lensmar takes a look at a number of common API virtualization use cases - design-first development, sandboxing and load testing - to see how and when virtual APIs can help and when they can’t.
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Enterprise IT: What's Beyond Virtualization
Derek Collison discusses some of the technologies and approaches for building a self-healing infrastructure: Intelligent layer 7 SDN with semantic awareness, self healing techniques, etc.
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Using Docker in Cloud Networks
Chris Swan takes a look at Docker: what it is, why it was chosen, how it became an established platform, and what it takes to package applications and application infrastructure for use with Docker.
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Migrating to Cloud Native with Microservices
Adrian Cockcroft discusses strategies, patterns and pathways to perform a gradual migration towards modern enterprise applications based on cloud, microservices and denormalized NoSQL databases.
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The Game of Big Data: Scalable, Reliable Analytics Infrastructure at KIXEYE
Randy Shoup describes KIXEYE's analytics infrastructure from Kafka queues through Hadoop 2 to Hive and Redshift, built for flexibility, experimentation, iteration, testability, and reliability.
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Virtualize Your Stack with Vagrant and Puppet
Jacob Mather shows how to transition a development stack from a local machine to a virtual solution on a server that can be extended to a private cloud.
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Deploying, Scaling, and Running Grails on AWS and VPC
Ryan Vanderwerf explains how to create and deploy a Grails application on AWS VPC using various services such as RDS, S3, autoscaling, S3FS, EBS, etc.
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Data & Infrastructure at Airbnb
Brenden Matthews describes the infrastructure built at Airbnb using Mesos in order to support Hadoop and Storm.
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Making the Internet a Better Place: Scaling AppNexus
Mike Nolet shares lessons learned scaling AppNexus and architectural details of their system processing 30TB/day: Hadoop, DNS built in GSLB and Keepalived, and real-time data streaming built in C.
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