{"repo":"square/metrics","free":true,"listed":false,"github":"https://github.com/square/metrics","clone":"git clone https://github.com/square/metrics.git","description":"Metrics Query Engine","language":"Go","stars":172,"topics":["metrics","timeseries","go"],"license":"Apache-2.0","category":"analytics","readme_excerpt":"Metrics Query Engine (Version 1.0) Metrics Query Engine(MQE) provides SQL-like interface to time series data with powerful functions to aggregate, filter and analyze. For example, to find which 10 endpoints have the highest HTTP latency on your web application farm: Or maybe you want to compare cpus used vs allocated across your cluster for a particular application Or you want to see how many cumulative seconds have been spent serving an API request. Why Square collects millions of signals every few seconds from application servers and datacenters. The large volume of unstructured metric names makes it difficult to search for and discover metrics relevant to a particular host, app, service, connection type, or data center. Metrics Query Engine uses tagged metrics as a way to structure metric names so that they can be more easily queried and discovered. Go Version MQE supports Go 1.7 and up. See wiki for installation, setup and development.","default_branch":null,"files":null,"tree":[],"storefront":"/r/square","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/square/metrics/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}