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Grafana 9.2 release: Troubleshooting Grafana panels with a new support feature

Ever run into issues building a panel in your Grafana dashboards? To help with those issues, the current support process for Grafana, Grafana Cloud, and Grafana Enterprise often requires many cycles where we request more information. This can be slow, frustrating for both our users and our support teams, and the process makes it difficult to reproduce issues without access to similar data.

Monitoring HPC system health with Grafana and Psychart

Nicolas Ventura is a critical facilities engineer at NERSC, with experience in both mechanical and computer systems. The National Energy Research Scientific Computing Center (NERSC) is a modern data center that’s home to two powerful high-performance computing (HPC) systems used for worldwide scientific research in genetics, physics, geology, and more. As such, the infrastructure team at NERSC has to closely track the facility conditions to ensure optimal operations.

5 key benefits of Kubernetes monitoring

Kubernetes made it much easier to deploy and scale containerized applications, but it also introduced new challenges for IT teams trying to keep tabs on these newly distributed systems. Ops teams need proper visibility into their Kubernetes clusters so they can track performance metrics, audit changes to deployed environments, and retrieve logs that help debug application crashes.

Grafana 9.2 release: New Grafana panel help options, Grafana oauth updates, simplified variable editor for Grafana Loki, and more!

Welcome to Grafana 9.2, a jam-packed minor release with a wide range of improvements to help you create and share Grafana dashboards and alerts. Along with new developments for public dashboards and support for Google Analytics 4 properties, Grafana 9.2 offers new ways to connect with support teams about panel issues, a simplified query variable editor for Grafana Loki, improvements to access control, and much more.

Grafana k6 one year later: Lessons learned after an acquisition

A few years ago, I was meeting with venture capitalists and private equity firms about the future of k6, the open source performance testing tool that we created in 2016 and open sourced in 2017. After talking about the k6 product mission — to give modern engineering teams better tools to build reliable applications — one investor challenged us to create an even bigger vision for the company: What if we acquired a company to broaden the k6 story?

Announcing Grafana Cloud Link, a gateway from any local Grafana instance to Grafana Cloud

If you’ve had a local Grafana instance for any length of time, it’s likely dialed in just how you like it, and that’s a good thing. If you are working within Grafana Cloud, by contrast, you are using a heavily opinionated experience that our teams are building, managing, and provisioning. As a result, we serve up solutions that users can work with out of the box and can use to build their stack.

Set up instant SNMP monitoring with the new SNMP integration in Grafana Cloud

Simple Network Management Protocol (SNMP) is an internet protocol that is used to collect information about network devices and manage them. Most of the modern devices connected to a network support SNMP, such as routers, switches, servers, printers, and more. There are three different versions of SNMP (v1, v2, and v3). It most commonly operates on UDP ports 161 and 162. The most common versions being used are v1 and v2. The data can be collected from a network device through SNMP via polling.

Inside the migration from Consul to memberlist at Grafana Labs

At Grafana Labs we run a lot of distributed databases. These distributed databases all make use of a hash ring in order to evenly distribute workloads across replicas of certain components. For a more detailed description of the architecture of our projects, check out our Mimir architecture docs.

How to build machine learning models faster with Grafana

Armin Müller is the co-founder of ScopeSET. ScopeSET specializes in R&D work to build and integrate tools in the model-based systems engineering domain, with a track record of more than 15 years of delivering innovative solutions for ESA and the aerospace industry. Training machine learning models takes a lot of time, so we’re always looking for ways to accelerate the process at ScopeSET. We use open source components to build research and development tools for technical companies.