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Performance & Scalability  Content on InfoQ rss

News about Performance & Scalability rss

How GitHub Designed its New Load Balancer by Sergio De Simone Posted on Sep 26, 2016

How and Why Etsy Moved to an API-First Architecture by Thomas Betts Posted on Aug 02, 2016

Gil Tene: Understanding Hardware Transactional Memory by Ralph Winzinger Posted on Jun 19, 2016

SQL Server Now Offers NoSQL Style Memory-Optimized Tables by Jonathan Allen Posted on Mar 29, 2016

Google Kick-Starts Git Ketch: A Fault-Tolerant Git Management System by Abraham Marín Pérez Posted on Feb 02, 2016

Using Hunk+Hadoop as a Backend for Splunk by Jonathan Allen Posted on Sep 22, 2015

Performance Guru Kirk Pepperdine Reflects on Results of RebelLabs' Performance Survey by Matt Raible Posted on Aug 11, 2015

Parse Got a Tenfold Reliability Improvement Moving from Ruby to Go by Sergio De Simone Posted on Jun 19, 2015 5

How NGINX Achieves Performance and Scalability by Sergio De Simone Posted on Jun 12, 2015

All news

Articles about Performance & Scalability rss

Virtual Panel: Current State of NoSQL Databases by Srini Penchikala Posted on Aug 02, 2016 1

Graph API in a Large Scale Environment by Maor Cohen Posted on Feb 13, 2016

Big Memory .NET Part 2 - Pile, Our Big Memory Solution for .NET by Dmitriy Khmaladze and Leonid Ganeline Posted on Oct 13, 2015 15

Big Memory .NET Part 1 – The Challenges in Handling 1 Billion Resident Business Objects by Dmitriy Khmaladze and Leonid Ganeline Posted on Oct 08, 2015

DevOps is Not a Feature! by Nati Shalom Posted on May 24, 2015

A Few Good Rules by Peter Neumark Posted on Jul 25, 2014

Microservices: Decomposing Applications for Deployability and Scalability by Chris Richardson Posted on May 25, 2014 12

Russ Miles on Antifragility and Microservices by Ralph Winzinger Posted on May 13, 2014

Improving Your Asynchronous Code Using Tasks, Async and Await by Dave Marini Posted on May 06, 2014 1

All articles

Interviews about Performance & Scalability rss

15:46

Yao Yue on Making Twitter's Pelikan Cache Fast And Reliable by Yao Yue Posted on Jul 01, 2016

28:27

Gil Tene on Understanding Latency by Gil Tene Posted on Feb 09, 2016

10:44

Natalia Chechina on Scaling Distributed Erlang with SD Erlang by Natalia Chechina Posted on Feb 13, 2015

30:52

Jeremy Pollack of Ancestry.com on Test-driven Development and More by Jeremy Pollack Posted on Feb 15, 2014

29:36

Cliff Click on In-Memory Processing, 0xdata H20, Efficient Low Latency Java and GCs by Cliff Click Posted on Jan 10, 2014 1

17:06

Martin Thompson Discusses Reactive System Design by Martin Thompson Posted on Dec 02, 2013

17:49

Martin Thompson on Low Latency Coding and Mechanical Sympathy by Martin Thompson Posted on Jun 07, 2013 1

11:10

Martijn Verburg Talks About jClarity, Adopt a JSR and Java Security by Martijn Verburg Posted on Apr 23, 2013

27:13

Bob Lee on Java's Future, Lambdas, DI with Guice vs Dagger, Java and Ruby at Square by Bob Lee Posted on Jan 11, 2013 2

All interviews

Presentations about Performance & Scalability rss

49:00

Scaling Stack Overflow: Keeping it Vertical by Obsessing Over Performance by David Fullerton Posted on Oct 18, 2015 3

48:46

How 30 Years of Ticket Transaction Data Helps you Discover New Shows! by Vaclav Petricek Posted on Aug 19, 2015

01:09:35

Performance Testing Crash Course by Dustin Whittle Posted on Apr 25, 2015

34:52

0 – 100 MPH - Launching a New Product at Scale by Dan Macklin Posted on Mar 15, 2015

01:24:19

Spring Batch Performance Tuning by Gunnar Hillert,Chris Schaefer Posted on Feb 14, 2015

43:55

Not Exactly! Fast Queries via Approximation Algorithms by Fangjin Yang, Nelson Ray Posted on Jan 20, 2015

40:16

Scaling Gilt: from Monolithic Ruby Application to Distributed Scala Micro-Services Architecture by Yoni Goldberg Posted on Oct 30, 2014

46:06

Scaling Foursquare: From Check-ins to Recommendations by Jon Hoffman Posted on Oct 26, 2014

All presentations

Books about Performance & Scalability rss

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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