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01:02:29

Troubleshooting Live Java Web Applications

Posted by Ashley Puls  on  Feb 28, 2014 1

Ashley Puls methods and tools that can be used to uncover and resolve performance problems arising in Java web applications that use the Spring Framework.

48:32

How Zynga Handles Monitoring at Scale in Its Hybrid zCloud

Posted by Matt West  on  Jan 20, 2014

Matt West explains how to use technologies like CloudStack, Beanstalk, Gearman, mod_gearman, Nagios, nagconf and other tools to monitor large web applications at scale deployed in the zCloud.

48:52

Resiliency through Failure - Netflix's Approach to Extreme Availability in the Cloud

Posted by Ariel Tseitlin  on  Sep 22, 2013 1

Ariel Tseitlin discusses Netflix' suite of tools, collectively called the Simian Army, used to improve resiliency and maintain the cloud environment. The tools simulate failure in order to see how the system reacts to it.

43:58

Actionable Metrics - Enabling Decision-Making in Netflix’s Decentralized Environment

Posted by Roy Rapoport  on  Feb 14, 2013

Roy Rapoport discusses how Netflix uses metrics to monitor and manage their operating environment along with some notes about their event management system.

Big Data Problems in Monitoring at eBay

Posted by Bhaven Avalani, Yuri Finklestein  on  Dec 21, 2012

Bhaven Avalani and Yuri Finklestein discuss 4 aspects encountered at eBay when dealing with monitoring data: reduction of data entropy, robust data distribution, metric extraction, efficient storage.

Scaling Tumblr

Posted by Ken Little  on  Dec 18, 2012

Ken Little discusses the architecture and infrastructure employed by Tumblr.

Application Delivery in the Cloud

Posted by Alex Gosse  on  Nov 08, 2012

Alex Gosse presents the current trend in application delivery, referring to cloud computing, its adoption and DevOps tools used in such environments.

"Big Data" and the Future of DevOps

Posted by Ram Singh  on  Aug 24, 2012 2

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.

Using Monitoring and Metrics to Learn in Development

Posted by Patrick Debois  on  Jun 07, 2012

Patrick Debois discusses the current state of monitoring and metrics, how developers and the company can benefit from them, and how to improve the collection of metrics and the monitoring process.

Application Performance Monitoring with AMQP 1.0

Posted by Marc Borbas  on  Apr 16, 2012

Marc Borbas discusses the importance of Application Performance Monitoring, explaining how it can be done with AMQP.

Real-Time Java for Latency Critical Banking Applications

Posted by Bertrand Delsart  on  Oct 22, 2008 2

In this presentation from QCon London 2008, Bertrand Delsart discusses real-time (RT) computing requirements in banking, RT Java history, priority semantics, RT APIs, Determinism and NoHeapRealtimeThreads, RT Garbage Collection, soft vs. hard RT, deadline miss handlers, event-driven requests with deadlines, reducing context switches, and benefits of RT Java and the RT Garbage collector.

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