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Understanding Performance with DTrace: A Case Study

Posted by Adam Leventhal  on  Sep 14, 2016

Adam Leventhal introduces DTrace, using a case study o solve a performance problem.


Chaos Kong - Endowing Netflix with Antifragility

Posted by Luke Kosewski  on  Sep 04, 2016

Luke Kosewski describes Flow, how it adds value to a microservice architecture, what preconditions must be met for such a recovery mechanism to succeed, and tells the story of a 2015 Q4 outage.


Monitoring and Troubleshooting Real-Time Data Pipelines

Posted by Alan Ngai, Premal Shah  on  Jul 20, 2016

Alan Ngai and Premal Shah discuss best practices on monitoring ​distributed real-time data processing frameworks and how DevOps can gain control and visibility over these data pipelines.


Compositional I/O Stream in Scala

Posted by Runar Bjarnason  on  May 17, 2016

Runar Bjarnason presents how to get started with the Scalaz-Stream library, shows some examples, and how we can combine functional streams into large distributed systems.


Logging Makes Perfect - Real-world Monitoring and Visualizations

Posted by Itamar Syn-Hershko  on  Feb 17, 2016 2

Itamar Syn-Hershko shows using various technologies -Storm, Node.js, Riemann, collectd, D3.js, ELK, PagerDuty, Slack - to power Forter’s service and keep it highly available and under control.


DIY Monitoring: Build Your Own JVM Performance Management Tool

Posted by Tal Weiss  on  Dec 17, 2015

Tal Weiss shows how you can easily write your own JVM agent to capture accurate performance data for virtually any type of application from Java microservices to reactive actor systems in Scala.


Atlassian Hybrid Cloud/On-Premise Software Delivery and the Journey to 300,000 Applications in the Cloud

Posted by George Barnett  on  Nov 01, 2015

George Barnett discusses techniques for building the supporting infrastructure for a hybrid model, and how to make monitoring, deployment tools, and shared services work effectively.


Optimizing Mobile Performance with Real User Monitoring

Posted by Brittany Young  on  Oct 12, 2014

Brittany Young discusses a framework for identifying the performance metrics that matter most to users, looking at improving the development life cycle by knowing common mobile performance blind spots


One Small Step for Consumers, One Giant Lead for Enterprise

Posted by Tom Levey  on  May 15, 2014

In this solutions track talk, sponsored by AppDynamics, Tom Levey discusses how to monitor UX, identify bottlenecks, and measure the revenue impact by turning on the lights inside a mobile app.


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.


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.


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' failure-based suite of tools, collectively called the Simian Army, used to improve resiliency and maintain the cloud environment.

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