In 2017, Just Eat Takeaway.com (JET) was transitioning from a scrappy startup to a surging scaleup. With a global customer base and workforce, the food delivery marketplace’s front line teams needed to scale the real-time monitoring of the platform. Their initial efforts looked like “NASA’s mission control with Grafana dashboards,” said Senior Technology Manager Alex Murray.
For the team at JPMorgan Chase, the daily stakes of having a stable system are high. “We are in the business of making sure that trades are executed, and systems are stable and up and running for a positive client experience,” said Askari Imam, VP, Asset Wealth Management (Product and Integration Delivery).
One of our favorite things at Grafana Labs is seeing Grafana dashboards in action. Over the past year, members of the Grafana community — from inside and outside of the company — shared the unique ways they have used dashboards to monitor a wide range of projects including an elderly parent’s home, a Tesla, and a python named Pretzel. Let’s take a look back at some of the eye-catching and informative results.
With every new update and feature we introduced to our open source LGTM stack this year, we have also enhanced Grafana Cloud, our hosted offering that is powered by Grafana Loki for logs, Grafana for visualization, Grafana Tempo for traces, and Grafana Mimir for metrics. With Grafana Cloud, “we have curated the open source experience into an easy-to-use, opinionated, and integrated platform,” Grafana Labs VP of Technology Tom Wilkie said in the ObservabilityCON 2022 keynote.
At Grafana Labs, we’re all about open source, and this year we took it to a whole new level. Many of you are familiar with the acronym “LGTM,” which is shorthand for “Looks good to me” and commonly used in code reviews. At Grafana Labs, LGTM has also been a guiding rubric in developing our observability stack.
There are more than a million reasons (and Grafana instances!) that have made 2022 a standout year at Grafana Labs. But here are the top 10 releases, products, company milestones, and major announcements that were off the charts.
Outlier Detection is now available as part of the Grafana Machine Learning toolkit in Grafana Cloud for Pro and Advanced users. With this feature, you can monitor a group of similar things, such as load-balanced pods in Kubernetes, and get alerted when some of them start behaving differently than their peers. There’s supposed to be a video here, but for some reason there isn’t. Either we entered the id wrong (oops!), or Vimeo is down.
The tire sales industry is a fractured collection of hundreds of point of sales systems and thousands of auto shops and retailers. As a result, manufacturers and distributors lack critical visibility into how these products are sold. SaaS startup Torqata aims to fix that.
Grafana Agent v0.30 is here! The past couple of Grafana Agent releases have been pretty exciting for us. We introduced Agent Flow as a new way to configure, run, and debug telemetry pipelines. We also announced OpenTelemetry Collector components to expand on our Big Tent philosophy and allow users to switch seamlessly between the Prometheus and OTel ecosystems. This latest release continues that momentum by introducing Loki components for building logging pipelines and marking Flow mode as beta!
The community has spoken, six Helm charts is not enough! We agree! In all seriousness though, six charts is simply too many to maintain. And while it might sound counterintuitive, that’s why we are announcing a new Helm chart. By focusing on the “Grafana Labs way" to run Grafana Loki using Helm, we believe this will help us and the community concentrate our Helm efforts into a single chart. This new chart is released under grafana/loki at Helm version 3 or higher.
