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Thanos 0.30.2

Thanos 0.30.2

Description

Thanos is a powerful open-source platform designed to enhance the observability of cloud-native applications at scale. It is a state-of-the-art solution that provides users with a reliable and cost-effective approach to storing, querying, and analyzing metrics from their Kubernetes clusters. By leveraging Thanos, users can effectively extend the capabilities of Prometheus, one of the most popular monitoring solutions for Kubernetes. It offers a plethora of features such as global query view, store gateway, downsampling, and many more, making it a comprehensive tool for managing distributed systems.

  • High availability: With Thanos, you can achieve high availability and reliability for your Prometheus metrics.
  • Long-term storage: It provides long-term storage for your metrics without any loss of data.
  • Global view: Thanos offers a global view of your metrics that are stored in different data centers.
  • Easy to use: Thanos is easy to use and integrate with Prometheus and other data sources.
  • Extensible: Thanos can be extended to provide additional functionality by adding custom queries.

  • Long-term storage: Thanos is an excellent tool for companies that need to store metrics for an extended period. With Thanos, users can store metrics indefinitely without worrying about disk space.
  • High availability: Thanos can be used to provide high availability for your Prometheus metrics. It can replicate your data to multiple data centers, reducing the risk of data loss in case of a disaster.

  1. Set up a Prometheus server.
  2. Install Thanos and configure it to work with your Prometheus server.
  3. Use Thanos to store your metrics in a long-term storage location.
  4. Use Thanos to query your metrics from different data sources.

  • Thanos is built with GoLang, a high-performance language that is ideal for building scalable systems.
  • It uses the gRPC protocol for communication between the different components of the platform.
  • Thanos can store metrics in various object storage systems such as Google Cloud Storage, AWS S3, and Azure.
  • It uses a distributed architecture that can replicate data across different data centers, providing high availability and reliability.

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