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 GitHub stars and GitHub forks. Here’s a link to Thanos's open source repository on GitHub
Who uses Thanos?
34 companies reportedly use Thanos in their tech stacks, including Nubank, medium.com, and Groww.
57 developers on StackShare have stated that they use Thanos.
Decisions about Thanos
Here are some stack decisions, common use cases and reviews by companies and developers who chose Thanos in their tech stack.
Hi All, We have Thanos sidecar and Prometheus set up in GCP and a Prometheus server in AWS. we want to push all the metrics of GCP to AWS. We will be creating a VPN link-up between them. But then how the GCP metrics would be connected with Prometheus/ Grafana.? I mean which IP to use it for this.?
- 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?
See all alternatives
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