Please log in to watch this conference skillscast.
The CNCF's Prometheus Monitoring system has been thriving for several years. Along with its powerful data model, operational simplicity and reliability have been a key factor in its success. However, some questions were still largely unaddressed to this day. How can you store historical data at the order of petabytes in a reliable and cost-efficient way? Can you do so without sacrificing responsive query times? And what about a global view of all your metrics and transparent handling of HA setups? Thanos takes Prometheus' strong foundations and extends it into a clustered, yet coordination free, globally scalable metric system. It retains Prometheus’s simple operational model and even simplifies deployments further. Under the hood, Thanos uses highly cost-efficient object storage that’s available in virtually all environments today. By building directly on top of the storage format introduced with Prometheus 2.0, Thanos achieves near real-time responsiveness even for cold queries against historical data. All while having virtually no cost overhead beyond that of the underlying object storage. During this talk, Bartek will explore the theoretical concepts behind Thanos and demonstrate how it seamlessly integrates into existing Prometheus setups.
YOU MAY ALSO LIKE:
- Fast Track to RESTful Microservices (in London on 11th - 13th November 2019)
- Introduction to Docker Fundamentals (in London on 26th - 27th November 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
- µCon London 2020 - The Conference on Microservices, DDD & Software Architecture (in London on 27th - 29th May 2020)
- NewDay Career Hub Drop-in (in London on 21st November 2019)
- Keynote Evening with Matt Saunders! (in London on 26th November 2019)
- DevOps and Microservices Better Together (SkillsCast recorded in October 2019)
- Contain Your Excitement: The Kubernetes Ingress Controller (SkillsCast recorded in October 2019)
Thanos - Prometheus at Scale
Bartek is an Improbable infrastructure software engineer passionate about emerging technologies and Distributed System problems. With a low-level background at Intel, previous work as Mesos contributor and production, global-scale SRE experience at Improbable, he is focused on improving the world of microservices. Huge Golang, open-source software and Volleyball fan.