PromQL is the querying language that is part of Prometheus. In addition to PromQL, Prometheus provides a scraper that fetches metrics from instances (any application providing metrics) and a time series database (TSDB), which stores these metrics over time. This introduction to PromQL will be largely decoupled from specific tools and the non-PromQL parts of Prometheus, in order to focus on the features of the language itself.
Greetings! This is Christine and Eldin reporting from Solutions Engineering, a team at Grafana Labs dedicated to helping users maximize what our Enterprise and Cloud products can do for your orgs. In a previous life, Eldin managed the customer experience department for several different companies and still remembers the pain of running daily reports so his team could have visibility into their ticket queues.
If you’ve heard about Grafana Enterprise (the commercial version of Grafana), you might be wondering if companies actually pay for something that is already so good as an open source software. In my role at Grafana Labs I’ve talked with hundreds of companies from all over the world, in many different industries. I’ve listened as they shared the daily challenges and frustrations they face at their organizations.
84.51°, the data analytics and marketing company owned by The Kroger Company, found out it needed centralized metrics the hard way. When Erin O’Brien was brought into the company in the spring of 2019 as a Lead Service Manager, she was tasked with evaluating and seeking ways to continuously improve how the Technology and Product teams worked together.
The Grafana 6.6 stable release includes improvements to Alerting, CloudWatch, Explore, Loki, Graphite, Stackdriver, and more.
Welcome to 2020! (We’re a little slow with that on the Loki team.) To kick off the year we are releasing Loki 1.3! Anyone running Loki in microservices mode will be excited by this release as it introduces the Loki Query Frontend. (If you aren’t using microservices, be patient – good things will be coming your way soon.) The query frontend sits in front of the queriers and allows sharding queries based on time.
The Cortex project, a horizontally scalable Prometheus implementation and CNCF project, is more than three years old and shows no sign of slowing down. Right now, there are a lot of things going on in Cortex, but sometimes it’s not clear why we’re doing them. So I want to provide some clarity for both the Cortex community – and the wider Prometheus community – regarding our intentions, especially with regards to the Thanos Project.
As the open-source monitoring system Prometheus grew, so did the need to grow its capacity in a way that is multi-tenant and horizontally-scalable, along with the ability to handle infinite amounts of long-term storage. So in 2016, Julius Volz and Tom Wilkie (who is now at Grafana Labs) started Project Frankenstein, which was eventually renamed Cortex.
You probably missed it. Don’t feel bad. It was just one small paragraph, buried in the GitLab 11.9 Omnibus Release Notes: Grafana is now bundled in our Omnibus package, making it easier than ever to understand how your instance is performing. “Omnibus” is what GitLab calls its main installation package, and “Grafana” is the time-series visualization software, but what does this paragraph even mean?
