Simple to operate: It was built to run as individual servers using local storage for reliability.
It's precise: You can use a query language similar to JQL, DDL, DCL, or SQL queries to define alerts and provide a multi-dimensional view of status.
Lots of libraries: You can use more than ten languages and numerous client libraries in order to introspect your services and software.
Efficient: With data stored in an efficient, custom format both in memory and on disk, you can scale out easily with sharding and federation, creating a strong platform from which to issue powerful queries that can construct powerful data models and ad hoc tables, graphs, and alerts.
