SRE: Observability: Metric Namespaces and Structures
Structured metric namespaces are important in order to have information quickly accessible during incidents. Careful consideration must be given to metric names and dimensions in order to support a wide variety of queries and expansions. One way I’ve found to be effective at modeling flexible metric models is thinking of them as a tree. Thinking of metrics as a tree supports a number of benefits i
M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus
You’re seeing information for Japan . To see local features and services for another location, select a different city. Show more To facilitate the growth of Uber’s global operations, we need to be able to quickly store and access billions of metrics on our back-end systems at any given time. As part of our robust and scalable metrics infrastructure, we built M3, a metrics platform that has been i
Home | Metrics
Metrics is a Java library which gives you unparalleled insight into what your code does in production. Metrics provides a powerful toolkit of ways to measure the behavior of critical components in your production environment. With modules for common libraries like Jetty, Logback, Log4j, Apache HttpClient, Ehcache, JDBI, Jersey and reporting backends like Graphite, Metrics provides you with full-st
Metrics 2.0: an emerging set of standards around metrics
{ host: dfs1 what: diskspace mountpoint: srv/node/dfs10 unit: B type: used metric_type: gauge } meta: { agent: diamond, processed_by: statsd2 } What & Why? If you have a handful of metrics, you don't need to think about this and can stick with simple names for your metrics. However, as we grow our number of metrics and/or want to make more sense out of them, we need to be more systematic. Here are
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification Zhiwu Huang†‡ ZHIWU.HUANG@VIPL.ICT.AC.CN Ruiping Wang†§ WANGRUIPING@ICT.AC.CN Shiguang Shan†§ SGSHAN@ICT.AC.CN Xianqiu Li†‡ XIANQIU.LI@VIPL.ICT.AC.CN Xilin Chen†§ XLCHEN@ICT.AC.CN † Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of
CPU Utilization is Wrong
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Metrics
A gauge is an instantaneous measurement of a value A counter is a gauge that tracks the count of something A meter measures the rate of events over time. A histogram measures the statistical distribution of values in a stream of data. A timer is basically a histogram of the duration of events coupled with a meter of the rate of the event occurrence. system.cpu.load (gauge) The system load on the J
Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned
Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Online controlled experiments, also called A/B testing, have been established as the mantra for data-driven decision making in many web-facing companies. In recent years, there are emerging research works focusing on building the platform and scaling it up [34], best practices and lessons learned to obtain trus
Observability Tools for Developers, not DevOps/SRE
Observability Tools for Developers, not DevOps/SRE Monitor your backend applications, fix performance issues, and get alerted when problems happen. All without being a monitoring expert. Start with a FREE account Tailing the logs is not enough Everybody starts monitoring with logs because they are there by default. Just connect to your server and start tailing. But logs have a hard time showing yo
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GitHub - Netflix/spectator-py
GitHub - Netflix/spectator: Client library for collecting metrics.
Metric Aggregation
Cloudera Manager Metrics
Hue Server Metrics
GitHub - omergertel/pyformance: Performance metrics, based on Coda Hale's Yammer metrics
GitHub - Cue/scales: scales - Metrics for Python
Is there a python version for the JVM based metrics library
Two DevOps Metrics for Agile Teams & their Managers – Storm Consulting
GitHub - Netflix/servo: Netflix Application Monitoring Library
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