After using open-source metrics solutions and finding issues with them at scale – such as reliability, cost, and operational complexity – M3 was created from the ground up to provide Uber with a native, distributed time series database, a highly-dynamic and performant aggregation service, a query engine, and other supporting infrastructure.
M3 has several features, provided as discrete components, which make it an ideal platform for time series data at scale:
Note: Make sure to read our Operational Guides before running in production!
Getting started with M3 is as easy as following one of the How-To guides.
For support with any issues, questions about M3 or its operation, or to leave any comments, the team can be reached in a variety of ways: