Thanos Page
Thanos
Thanos is an open-source project that enhances Prometheus' capabilities, providing high availability, global query capabilities, and long-term storage for Prometheus metrics. It acts as a layer on top of existing Prometheus deployments, allowing you to seamlessly scale your monitoring infrastructure and retain historical metrics data for extended periods.
Key Features
* **Global Query:** Thanos enables you to query metrics across multiple Prometheus servers, providing a unified view of your entire environment, even if you have Prometheus instances running in different clusters or regions.
* **High Availability:** Thanos's components are designed to be highly available, ensuring uninterrupted access to metrics data and query capabilities even in the event of failures.
* **Long-Term Storage:** It supports integration with various object storage backends, such as Amazon S3, Google Cloud Storage, and Azure Blob Storage, allowing you to store and query historical metrics data for extended periods.
* **Downsampling and Compaction:** Thanos can automatically downsample and compact historical metrics data, reducing storage costs and improving query performance.
* **Rule Evaluation:** It can evaluate Prometheus recording and alerting rules across multiple Prometheus instances, ensuring consistent alerting and metric aggregation.
Benefits
* **Scalability:** Thanos allows you to scale your Prometheus monitoring infrastructure horizontally, handling large volumes of metrics data and accommodating growing environments.
* **High Availability:** Its high-availability design ensures that your monitoring system remains operational even if individual components fail.
* **Long-Term Retention:** Thanos enables you to store and query historical metrics data for months or even years, providing valuable insights into long-term trends and patterns.
* **Cost Optimization:** Downsampling and compaction help reduce storage costs associated with long-term metric retention.
* **Unified View:** Thanos's global query feature provides a single, unified interface for querying metrics across multiple Prometheus servers, simplifying monitoring and analysis.
Code Examples
While Thanos configuration involves YAML files and command-line options, here's a simplified example of a Thanos Sidecar configuration:
```yaml
apiVersion: v1
kind: Pod
metadata:
name: prometheus-sidecar
spec:
containers:
- name: prometheus-sidecar
image: quay.io/thanos/thanos:latest
args:
- sidecar
- --prometheus.url=http://localhost:9090/metrics
- --tsdb.path=/prometheus/data
- --objstore.config-file=/etc/thanos/objstore.yaml
volumeMounts:
- name: prometheus-data
mountPath: /prometheus/data
- name: objstore-config
mountPath: /etc/thanos
volumes:
- name: prometheus-data
emptyDir: {}
- name: objstore-config
secret:
secretName: my-objstore-secret
```
This configuration deploys a Thanos Sidecar container alongside a Prometheus server, enabling it to upload metrics data to an object storage backend configured in the `my-objstore-secret` Secret.
Additional Resources
* **Thanos Official Website:** [https://thanos.io/](https://thanos.io/)
* **Thanos GitHub Repository:** [https://github.com/thanos-io/thanos](https://github.com/thanos-io/thanos)
* **Thanos Documentation:** [invalid URL removed]