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

Beats

A collection of lightweight data shippers that send data from edge machines to Elasticsearch

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Summary

The Beats platform, developed by Elastic, serves as a lightweight data shipping solution, facilitating the transfer of data from edge machines to Elasticsearch for further analysis and visualization. It offers a range of specialized shippers tailored for various types of data, such as logs, metrics, and network traffic, providing users with a flexible and scalable approach to monitoring and observability across their infrastructure.

Key Features

  • Designed to be lightweight and easy to deploy on edge machines and servers without adding significant overhead.
  • Offers a range of specialized shippers, including Filebeat for logs, Metricbeat for metrics, Packetbeat for network data, and more.
  • Provides real-time monitoring and metrics collection capabilities for better visibility into system performance.
  • Seamlessly integrates with other components of the Elastic Stack, such as Elasticsearch, Kibana, and Logstash, for comprehensive data analysis and visualization.

How does it work?

Real world example

Pros

  • Versatility with specialized shippers tailored for various types of data sources, including logs, metrics, network traffic, and more.
  • Scalability to accommodate growing data volumes and large-scale deployments, ensuring performance and reliability.
  • Extensibility through plugins and modules, allowing seamless integration with a wide range of data sources and destinations.
  • Real-time monitoring and metrics collection capabilities provide actionable insights into system performance and health.

Cons

  • Requires some level of familiarity with the Elastic Stack ecosystem, including Elasticsearch, Logstash, and Kibana, for effective deployment and management.
  • Configuring and managing multiple Beats instances in complex environments may introduce challenges, such as ensuring consistent configurations and monitoring.
  • Without proper tuning and configuration, Elastic Beats can consume significant system resources, impacting overall performance.
  • Dependency on Elasticsearch and Kibana for storage and visualization may introduce additional complexity and overhead, particularly in distributed environments.

Deployment Activity

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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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