Leveraging Elasticsearch as a time series database - lessons from a DevOps engineer
The DevOps team at NS1 realized that they were spending more time managing their telemetry system, rather than the services being monitored. A reevaluation of the alternatives led them to replace their time series database with Elasticsearch. The criteria to replace NS1’s time series database included:
- A single system for metrics and unstructured telemetry
- Granular control over what data is stored and retained
- Easy scalability
- Large diverse community
- Sufficient analysis capabilities
Hear about their evaluation process and the lessons learned, and learn how NS1 simplified operations and reduced operational costs by combining logs and metrics in the Elastic Stack.
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Christian Saide is a Development Operations and Software Engineer at NS1. He is a contributor to multiple OSS projects, with a passion for designing and building high performance and innovative solutions to today's complex networking and large scale computing problems. Over the past seven years, he has worked on a multitude of different platforms and system architectures, ranging from simple virtual machine deployments of a few nodes to hybrid virtual and bare metal deployments that span the globe. In Christian’s spare time, he enjoys playing real time strategy, and first person shooter video games, like starcraft and counterstrike.
With over 15 years of experience in information technology, Tanya Bragin leads the development of the Beats, Kibana, and Logstash product roadmaps. She spent five years at ExtraHop Networks where she led a team of product managers. In her spare time she enjoys posing as roadkill on the mean streets of Bay Area.