Kubernetes Codebase Tagged v1.0.0. in Preparation for Public Release by Daniel Bryant Posted on Jul 17, 2015
Amazon Release API Gateway, a Managed Service to Build and Run APIs by Daniel Bryant Posted on Jul 12, 2015 2
AWS s2n: Open-source TLS Implementation in Less than 6,000 Lines by Sergio De Simone Posted on Jul 01, 2015
MemSQL 4 Database Supports Community Edition, Geospatial Intelligence and Spark Integration by Srini Penchikala Posted on May 30, 2015
Microsoft Azure Tops Nasuni’s Storage Benchmark Test by Janakiram MSV Posted on May 24, 2015
Google Release 'Preemptible' VMs with Fixed Pricing in Beta by Daniel Bryant Posted on May 24, 2015
VENOM Vulnerability Threatens Several Major VM Hosts by Jeff Martin Posted on May 19, 2015
Infrastructure as a Service and Cloud Technologies by Nicolas Serrano, Gorka Gallardo, and Josune Hernantes Posted on Jul 12, 2015
Deploying Microservices to AWS at Gilt: Introducing ION-Roller by Natalia Bartol, Gary Coady, Adrian Trenaman Posted on May 08, 2015 9
Hologram - Finally, AWS Key Distribution that Makes Sense by Arian Adair Posted on Mar 31, 2015
Highly Distributed Computations Without Synchronization by Christopher Meiklejohn Posted on Feb 17, 2015 1
DevOps in AWS LiveLessons Review and Q&A with Author Paul Duvall by Sergio De Simone Posted on Feb 12, 2015
Application Delivery Controllers - Bridging the Gap Between DevOps and Network Planning by Paul Andersen Posted on Sep 06, 2014
InfoQ eMag: DevOps Toolchain for Beginners
This eMag aims at providing an overview of an example set of tools that would constitute a typical toolchain. These are popular tools today, but you should look at them as illustrations of the kind of tasks and workflows you might need to perform in your organization as you move along a DevOps path.
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InfoQ eMag: Scalability
This eMag examines topics such as how Twitter re-architected its code-base to improve stability and performance, the approaches Netflix uses to be hyper-resilient, and how Java is replacing C++ for low latency coding. We also look at some lower level tricks such as feedback controls for auto-scaling, and using memory and execution profiling to identify performance bottlenecks in Java.
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