Gain deep insights into application behavior

Weave Cortex

Weave Cortex is an open source timeseries database and monitoring system for applications and microservices. Based on Prometheus, Cortex adds horizontal scaling and virtually indefinite data retention.
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Horizontally scalable, cloud-native Prometheus

Weave Cortex offers the same powerful query language, data model and configurable alerts as Prometheus, plus horizontal scalability and cloud-native storage for virtually infinite data retention.

Features

Horizontally Scalable, Open Source

Built on Prometheus, Weave Cortex is an open source project that adds horizontal scalability. While Prometheus can scale up to 1 million samples/sec on a single machine, with Cortex horizontal scalability is practically limitless.

Virtually Infinite Data Retention

Prometheus' local storage model limits the possible data retention and durability to that of a single machine. Cortex' use of cloud-native storage such as Amazon DynamoDB and S3 allow for virtually infinite data retention.

Prometheus Compatible

Cortex offers a Prometheus-compatible API and query language - PromQL. PromQL is a concise and expressive query language, allowing for powerful insight into your application's behavior. Due to Prometheus’ dimensional data model, you can slice, dice and drill down quickly into problems - enabling you to rapidly analyse resolve issues.

Designed for Microservices and Containers

In a constantly changing environment, you need alternative approaches to monitoring individual VMs or servers. Prometheus' service-discovery driven pull-based metrics system was designed for the dynamic nature of microservices. It lets you easily monitor your whole environment no matter how many moving parts.

Hundreds of Integrations

Instrument your application to create custom metrics using standard Prometheus client libraries, or take advantage of the extensive collection of Prometheus Exporters that collect data from existing applications like MySQL, Redis, Java, Elastic Search and many more.

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