Launched at KubeCon North America last December, Loki is a Prometheus-inspired service that optimizes storage, search, and aggregation while making logs easy to explore natively in Grafana. Loki is designed to work easily both as microservices and as monoliths, and correlates logs and metrics to save users money. Less than a year later, Loki has almost 6,500 stars on GitHub and is now quickly approaching GA.
With the release of Grafana v6.3, we are introducing a significant improvement to Loki’s log exploration workflow in Grafana Explore. Launched at KubeCon North America last December, Loki is a Prometheus-inspired service that optimizes storage, search, and aggregation while making logs easy to explore natively in Grafana. Loki is designed to work easily both as microservices and as monoliths, and correlates logs and metrics to save users money.
Launched at KubeCon North America last December, Loki is a Prometheus-inspired service that optimizes storage, search, and aggregation while making logs easy to explore natively in Grafana. Loki is designed to work easily both as microservices and as monoliths, and correlates logs and metrics to save users money. Less than a year later, Loki has almost 6,500 stars on GitHub and is now quickly approaching GA.
Friday, August 2, marked the second beta release for Loki, a long overdue version 0.2.0. Why did it take so long? In large part this was my fault. Having done some work to create a release process for version 0.1.0, I found myself focusing on other things, so improving that process ended up on the backburner. This entire time, in the back of my mind, I was delaying a new release until I could improve that process.
Cortex, the open source, horizontally-scalable, highly-available, clustered Prometheus implementation that powers Grafana Cloud’s Hosted Prometheus cut its first release yesterday! This release was led by Chris Marchbanks from Splunk, who put together the whole release process and shepherded this first release.
The Grafana Labs community has more than 600 developers around the world who contribute to our open source projects. From time to time, they also ask really great questions about how to get started in Grafana, how to solve an issue, or how to implement best practices for various functions. Here are three questions that have gotten some of the most clicks on the Grafana community board – and the answers from Grafana Labs’ Director of Software Engineering, Daniel Lee.
It’s finally time for a new Grafana release again. Grafana 6.3 includes improvements to Explore, a new Time Picker, and a new Graph display option with gradients. There’s also new and improved Authentication options for Enterprise.
A couple months ago, we wrote about some Grafana dashboards that large organizations, for a variety of reasons, have made public with their actual live data. And we followed that up with a look inside the public dashboards at GitLab, a self-described “ridiculously transparent” company. It’s always interesting to see how Grafana users are setting up their visualizations, so we decided to do another roundup. Check these dashboards out, and get inspired.
Launched at KubeCon North America last December, Loki is a Prometheus-inspired service that optimizes storage, search, and aggregation while making logs easy to explore natively in Grafana. Loki is designed to work easily both as microservices and as monoliths, and correlates logs and metrics to save users money. Less than a year later, Loki has almost 6,500 stars on GitHub and is now quickly approaching GA.
On Friday, July 19, Grafana Cloud experienced a ~30min outage in our Hosted Prometheus service. To our customers who were affected by the incident, I apologize. It’s our job to provide you with the monitoring tools you need, and when they are not available we make your life harder. We take this outage very seriously. This blog post explains what happened, how we responded to it, and what we’re doing to ensure it doesn’t happen again.
