In the beginning, the mission of the logging and monitoring team at eBay was simple: “to give out APIs that the developers in the company could use to instrument their applications [in order] to send logs,” Vijay Samuel said during his talk at GrafanaCon about eBay’s journey to using Grafana plugins. “We had our own developers who built out UIs for being able to search view and debug their issues. And metrics were no different from logs.
The engineers at Grafana Labs have their heads in the clouds. “This is a new world: We have hybrid clouds and multiclouds,” Daniel Lee told the crowd gathered at GrafanaCon 2019 in Los Angeles. And the advantage clients have when using Grafana’s hosted services is that “they can deploy them on any cloud,” said Lee.
A few weeks have passed since the excitement of the major Grafana 6.0 release during GrafanaCon, which means it’s time for a new Grafana release. Grafana 6.1 iterates on the permissions system to allow for teams to be more self-organizing. It also includes a feature for Prometheus that enables a more exploratory workflow for dashboards.
The grafana-polystat-panel plugin was created to provide a way to roll up multiple metrics and implement flexible drilldowns to other dashboards. This example will focus on creating a panel for Cassandra using real data from Prometheus collected from our Kubernetes clusters. We’ll focus on the basic metrics for CPU/Memory/Disk coming from cAdvisor, but a well-instrumented service will have many metrics that indicate overall health, such as requests per second, error rates, and more.
In the Prometheus 2.7 release, Ganesh Vernekar added a feature called “Subqueries”. Ganesh published an explanation of how to use subqueries over on the Prometheus blog. In this post we’ll share a couple of real-life examples of how we use them at Grafana Labs.
This week we have updates and articles from the Grafana Labs team, some initial impressions on our Prometheus-inspired log aggregation project Loki, and lots more. Plus learn how to make your own air quality monitor.
Where we left off: AWS had taken the Elasticsearch software and launched their own cloud offering in 2015, and Elastic N.V. had doubled down on an “open core strategy.” Once AWS decides to offer a project like Elasticsearch, it immediately becomes a truly formidable competitor to anyone trying to do the same, even the company behind the software itself. AWS has huge scale, operational expertise, and various network effects that really compound.
Tinder is the world’s most popular dating app, with more than 26 million matches made each day. But two years ago, when it was time for the L.A.-based company to find and implement a perfect metrics monitoring partner, the process proved to be more slow-burn love affair versus whirlwind romance.
In this blog post we will go through how you can create plugins for Grafana using ReactJS. This presumes you have some basic knowledge about writing components in React.
Six months in the making, Write-Ahead Logging (WAL) for the remote_write API was one of the enhancements we included in the Prometheus 2.8 release on March 12. It’s a change intended to safeguard client metrics in the face of any network issues.
