Thanos
Open source, highly available Prometheus setup with long term storage capabilities.
Overview
Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity, which can be added seamlessly on top of existing Prometheus deployments. It leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies.
✨ Key Features
- Global query view across multiple Prometheus instances
- Long-term storage using object storage (S3, GCS, Azure Blob Storage)
- High availability for Prometheus
- Downsampling of historical data for faster queries
- Deduplication of metrics from redundant Prometheus servers
🎯 Key Differentiators
- Simpler to operate for certain use cases (e.g., sidecar model)
- Strong focus on global query view
- CNCF graduated project
Unique Value: Provides a scalable and highly available Prometheus setup with long-term storage capabilities by composing a set of simple, independent components.
🎯 Use Cases (3)
✅ Best For
- Federating multiple Prometheus instances for a global query view and long-term storage.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Simple, single-cluster monitoring setups that do not require high availability or long-term storage.
🏆 Alternatives
Often considered simpler to deploy and manage than Cortex for many common multi-cluster use cases, but Cortex may offer better performance for very high write throughput.
💻 Platforms
🔌 Integrations
💰 Pricing
Free tier: Open source, free to use. Costs are related to self-hosting and object storage.
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