Capillary reduced ops tickets by 95%

“Our releases are fast. And with less developer time needed our teams can focus on building exciting features. We’ve saved countless hours and costs.”

Piyush K,
Chief Architect, Capillary Technologies,

Treebo reduced production issues by 70%

"With Facets, our staging environments look identical to production environments. So in case of production issues, we can be sure there are no infra drifts."

Kadam Jeet Jain,
Co-Founder & CTO, Treebo Hotels and Hotel Superhero.

GGX switched from AWS to GCP in 2 weeks

"Facets has radically changed our DevOps for the better. They did all the heavy lifting and saved us precious time and resources in our when we switched from AWS to GCP."

Kaustubh Bhoyar,
Head of engineering, GGX

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Observability

Thanos

An open-source, highly scalable observability platform for storing, querying, and visualizing Prometheus metrics and monitoring data across multiple clusters and regions

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Summary

An observability platform designed for large-scale deployments, offering seamless integration with Prometheus metrics and data. It provides a highly scalable solution for storing, querying, and visualizing monitoring data across distributed clusters and regions. Thanos enables users to achieve high availability and long-term retention of metrics data, empowering organizations to gain deeper insights into the performance and health of their systems. With its robust features and flexible architecture, Thanos simplifies the management of monitoring data at scale.

Key Features

  • Offers horizontal scalability, allowing users to scale out their monitoring infrastructure across distributed clusters and regions.
  • Thanos provides long-term retention of metrics data, enabling organizations to retain historical data for deep analysis and troubleshooting.
  • With built-in redundancy and fault tolerance mechanisms, Thanos ensures high availability of monitoring data, even in the event of node failures.
  • Users can perform queries across multiple Prometheus instances and regions, providing a unified view of metrics data from disparate sources.
  • Thanos is fully compatible with Prometheus APIs and tools, ensuring a smooth transition for existing Prometheus users.

How does it work?

Real world example

Pros

  • Thanos enables horizontal scalability, allowing to scale your monitoring infrastructure as your needs grow.
  • It provides long-term retention of metrics data, enabling deep analysis and historical troubleshooting.
  • Thanos offers built-in redundancy and fault tolerance mechanisms, ensuring high availability of monitoring data.
  • Thanos optimizes storage costs by efficiently storing and organizing metrics data through data compaction.

Cons

  • Thanos may consume significant resources, particularly in large-scale deployments, leading to increased infrastructure costs.
  • Managing and maintaining Thanos clusters requires ongoing effort and expertise, including monitoring, troubleshooting, and upgrading.
  • While Thanos benefits from an active community, the availability of comprehensive documentation may vary, leading to challenges for some users.

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Capillary reduced ops tickets by 95%

“Our releases are fast. And with less developer time needed our teams can focus on building exciting features. We’ve saved countless hours and costs.”

Piyush K,
Chief Architect, Capillary Technologies,

Treebo reduced production issues by 70%

"With Facets, our staging environments look identical to production environments. So in case of production issues, we can be sure there are no infra drifts."

Kadam Jeet Jain,
Co-Founder & CTO, Treebo Hotels and Hotel Superhero.

GGX switched from AWS to GCP in 2 weeks

"Facets has radically changed our DevOps for the better. They did all the heavy lifting and saved us precious time and resources in our when we switched from AWS to GCP."

Kaustubh Bhoyar,
Head of engineering, GGX

Trusted by companies to run production at scale

Capillary | FacetsMPL | FacetsTreebo | FacetsPurplle | Facets

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