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.
Like Grafana Labs, my company, Load Impact, is built on open source. When we set out to build the k6 load testing tool, we knew we wanted to offer a purely open source stack. We’ve done performance testing for the better part of the past 15 years. When we looked at the market a couple of years ago, we saw a lot of both commercial and open source tools, and they were mostly either too simple or too complex. Additionally, there was nothing designed specifically for developers.
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.
Recently a question came up from a customer, and I was surprised we didn’t have an easy answer for it: How can you translate some esoteric ID or serial number, such as fe03-s3-x883, into a user-friendly name such as “harry” or “alice”? In a regular templating language, it would be easy to do via a map file or similar, but to do this with Grafana is a little more complicated.
One of the major projects we’re working on for Metrictank – our large scale Graphite solution – is the meta tags feature, which we started last year and are targeting to release in a few months. A lot of people don’t realize this, but Graphite has had tag support for more than a year. Our mission with Metrictank is to provide a more scalable version of Graphite, so introducing meta tags was a logical next step.
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.
Since graduating within CNCF last August, Prometheus has adopted a new schedule for releases every six weeks. The latest release, v2.11, arrived on July 9. Prometheus 2.11 includes a new option to compress WAL records using Snappy, query performance improvements, the option to use Alertmanager API v2, and more. You can download the latest version here. prometheus_tsdb_wal_reader_corruption_errors is now renamed to prometheus_tsdb_wal_reader_corruption_errors_total.
