An infrastructure, especially if it is scalable, can become extremely complex to visualize and observe. If something goes wrong, it would be difficult to fully understand the problem without a great data monitoring strategy. Information related to CPU, RAM, and statistics about SSH or HTTP servers are critical to understanding the performance of your web-application.
One thing we believe at Grafana Labs is that your data should be presented in a way that makes sense to you. Since the release of Grafana v7.0, we’ve seen a lot more developers taking advantage of the new plugins platform, which helps them build high-quality custom plugins faster than ever.
Open source grafana is one of the most popular OSS UI for metrics and infrastructure monitoring today. Capable of ingesting metrics from the most popular time series databases, it’s an indispensable tool in modern DevOps. This OSS grafana tutorial will go over installation, configuration, queries, and initial metrics shipping. Open source grafana is the equivalent of what Kibana is for logs (for more, see Grafana vs. Kibana).
Every Grafana user is a dashboard designer. The Grafana community gladly shares their dashboards, so there’s tons of inspiration available. Chances are you’ve downloaded some community dashboards and tweaked them in search of patterns that work for you. But if you haven’t found them, you’re not alone! In my Aug. 27 webinar, “A beginner’s guide to dashboard design,” I’ll cover the basics of good dashboard design.
It’s only four months ago that I blogged about histograms in Prometheus. Back then, I teased my talk planned for (virtual) KubeCon Europe 2020. On Aug. 20, the talk finally happened. It completed the trilogy of histogram talks also mentioned in my previous blog post. Here is the recommended viewing order.
I’m pleased to report that today, the Cortex project advanced from sandbox to incubation within the Cloud Native Computing Foundation after a vote from CNCF’s Technical Oversight Committee (TOC). The TOC’s decision is a signal that Cortex has stepped up in maturity, attracting not just innovators but also early adopters among enterprises. To achieve incubation, CNCF projects undergo due diligence and have to demonstrate a healthy level of adoption and community activity.
Yesterday at KubeCon + CloudNativeCon EU, Grafana Labs software engineer Marco Pracucci, a Cortex and Thanos maintainer, teamed up with Thor Hansen, a software engineer at Hashicorp, to give a presentation called “Scaling Prometheus: How we got some Thanos into Cortex.” In their talk, the pair discussed a new storage engine they have built into Cortex, how it can reduce the Cortex operational cost without compromising scalability and performance, and lessons learned from running Cortex at s
This morning, we announced that we raised $50 million in Series B funding. This additional funding, following our $24 million round last October, will enable us to dramatically accelerate research and development at Grafana Labs. We plan to hire more engineers and focus on product innovation. And importantly, it will help us continue to nurture and grow our community of millions of developers around the world.
