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Highly available Prometheus setup with long term storage capabilities.
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What is Thanos?

Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity. It can be added seamlessly on top of existing Prometheus deployments and leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly.
Thanos is a tool in the Monitoring Tools category of a tech stack.
Thanos is an open source tool with 5.7K GitHub stars and 772 GitHub forks. Here’s a link to Thanos's open source repository on GitHub

Who uses Thanos?

12 companies reportedly use Thanos in their tech stacks, including Nubank, Nutmeg, and giffgaff.

15 developers on StackShare have stated that they use Thanos.

Thanos Integrations

Why developers like Thanos?

Here’s a list of reasons why companies and developers use Thanos
Top Reasons
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Public Decisions about Thanos

Here are some stack decisions, common use cases and reviews by companies and developers who chose Thanos in their tech stack.

Joseph Irving
Joseph Irving
DevOps Engineer at uSwitch · | 5 upvotes · 50.4K views

We recently implemented Thanos alongside Prometheus into our Kubernetes clusters, we had previously used a variety of different metrics systems and we wanted to make life simpler for everyone by just picking one.

Prometheus seemed like an obvious choice due to its powerful querying language, native Kubernetes support and great community. However we found it somewhat lacking when it came to being highly available, something that would be very important if we wanted this to be the single source of all our metrics.

Thanos came along and solved a lot of these problems. It allowed us to run multiple Prometheis without duplicating metrics, query multiple Prometheus clusters at once, and easily back up data and then query it. Now we have a single place to go if you want to view metrics across all our clusters, with many layers of redundancy to make sure this monitoring solution is as reliable and resilient as we could reasonably make it.

If you're interested in a bit more detail feel free to check out the blog I wrote on the subject that's linked.

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Thanos's Features

  • Global querying view across all connected Prometheus servers
  • Deduplication and merging of metrics collected from Prometheus HA pairs
  • Seamless integration with existing Prometheus setups
  • Any object storage as its only, optional dependency
  • Downsampling historical data for massive query speedup
  • Cross-cluster federation
  • Fault-tolerant query routing
  • Simple gRPC "Store API" for unified data access across all metric data
  • Easy integration points for custom metric providers

Thanos Alternatives & Comparisons

What are some alternatives to Thanos?
Magneto was built by Automation Engineers for Automation Engineers out of necessity for a mobile centric test automation framework that's easy to setup, run and utilize.
Sentry is an open-source platform for workflow productivity, aggregating errors from across the stack in real time. 500K developers use Sentry to get the code-level context they need to resolve issues at every stage of the app lifecycle.
Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
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Thanos's Followers
49 developers follow Thanos to keep up with related blogs and decisions.
Adam Rees
Łukasz Gebel
Matt Gode
Nizam Uddin
Ivaylo Stoykov
Steve Allport
Jacob Repp