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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Microsoft Speeds Up Windows Store Apps with .NET Native by Abel Avram Posted on Apr 03, 2014
Mobile App Performance Report Benchmarks Crashes and Responsiveness on iOS and Android by Sergio De Simone Posted on Mar 31, 2014
Challenges Performing Background Compilation in V8 by Abel Avram Posted on Feb 15, 2014
Modern Enterprise Performance Analysis Antipatterns by Ben Evans Posted on Feb 15, 2014
Big Data Analytics for Security by Alvaro A. Cárdenas, Pratyusa K. Manadhata, Sreeranga P. Rajan Posted on Feb 11, 2014
To Execution profile or to Memory Profile? That is the question. by Kirk Pepperdine Posted on Dec 04, 2013 7
Tips for Tuning the Garbage First Garbage Collector by Monica Beckwith Posted on Sep 17, 2013 10
Experiments in Performance Management to foster High Performing Agile Teams by Kamal Manglani Posted on Sep 13, 2013 4
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Featured Blog Posts
The term “Big Data” is quite possibly one of the most difficult IT-related terms to pin down ever. There are so many potential types of, and applications for Big Data that it can be a bit daunting to consider all of the possibilities ... Read More.
The biggest difference between cloud-based applications and the applications running in your data center is scalability. The cloud offers scalability on demand, allowing you to expand and contract your application as load fluctuates ... Read More.
In the last post I covered several architectural techniques you can use to build a highly scalable, failure resistant application in the cloud. However, these architectural changes – along with the inherent unreliability of the cloud ... Read More.
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