As systems get larger, monitoring your servers becomes a thankless (and often useless) task. What becomes more valuable is thinking about your monitoring task as an analytics challenge. What services do I care about? How do I abstract out of servers into thinking about the user experience? How can I relate infrastructure performance to business questions? These questions are the next frontier for devops analytics. We’ll cover these kinds of questions and more in this session, including:
• Moving to monitoring systems instead of servers
• Applying data science and statistics across operational information
• New ways to explore complex system data
• Bringing together metrics and events for a unified look at your system
We’ll not only take a look at a new approach to thinking about your data, but also new underlying technology to analyze operations data. We’ll cover streaming, in-memory computing, and dataflow.
This session is sponsored by Jut
Mike is responsible for end-to-end development and operations of Jut’s analytics services. Previously, he ran the Pilot network analytics team at Riverbed, building analytics software based on the wireshark open source packet capture technology. He’s passionate about large scale distributed computing, language development, and hockey of course!
Chris Christensen is a professional software engineer specializing in systems and application development at Limelight Networks, helping deliver web and video content (that you might be viewing right now) through one of the world’s largest networks. He enjoys participating in open-source communities and also utilizing the benefits and efficiency of shared collaboration projects.