Operations | Monitoring | ITSM | DevOps | Cloud

Grafana 12.2 release: LLM-powered SQL expressions, updates to canvas and table visualizations, simplified reporting, and more

Grafana 12.2 has arrived, delivering new features to help you and your team move from data to decisions faster than ever. Grafana 12.2: Download now! Below are just some of the highlights from the latest Grafana release.

Mute timing vs. silences in Grafana Alerting: How to pick the best fit for your use case

Have you ever been in a situation where know your team is going to run their weekly maintenance window and you silence your notifications to prevent a flood of false positives from pinging your inbox? If you are associated with a team that uses any type of alert system, you know how easily alert fatigue can happen. The incessant and unpredictable (or even, at times, predictable) pings, emails, and notification alerts can drive even the most serene worker totally batty.

Top 3 MSP dashboards compared: SquaredUp, BrightGauge and MSPbots

Managed Service Providers (MSPs) live and die by their data. Externally, clients expect clear reporting, fast responses, and visible proof of value. Internally, smooth operations and low overheads are essential to business success. But with so many tools, key data is scattered across multiple systems – PSA, RMM, cloud services, ticketing, monitoring, finance – and that causes blind spots. Dashboards fix this problem by consolidating data into a single view.

How to perform real-time DNS monitoring in Grafana Cloud

When DNS or domain name server resolution processes fail, or become sluggish, users can experience timeouts, connection errors, and degraded performance — often without clear indication of the root cause. This is where DNS checks in Grafana Cloud Synthetic Monitoring come in, allowing you proactively monitor domain name resolution, verify that domains resolve to the correct IP address, and even measure how quickly that resolution occurs.

Burndown and burnup: Two charts every engineering dashboard needs

As engineering organizations scale, project visibility becomes a real challenge. Engineering managers lose track of what's actually happening across multiple teams. Executives ask "are we on track?" and get conflicting answers. Status meetings multiply but clarity doesn't improve. The root problem isn't lack of data, modern engineering teams generate tons of project information across JIRA, GitHub, CI/CD pipelines, and project management tools.

Grafana & Friends Stockholm meetup at 0+X

In this talk, we’ll introduce the Kafka Data Source plugin we developed for Grafana, which enables users to query and visualise Kafka topic data directly in their dashboards—without the need for intermediate storage or external services. We'll share how the idea came about, how we collaborated with the Grafana community and developers to bring it to life, and the challenges we faced along the way. We'll also discuss our vision for the plugin’s future and its role in the evolving observability landscape.

SquaredUp Cloud + Dashboard Server

SquaredUp Dashboard Server (DS) and SquaredUp Cloud both deliver cutting-edge data visualization for IT and engineering teams. The two products can be used independently, or together for complete operational visibility. This article explores how SquaredUp DS and Cloud differ, when to use each, and how they work together.

Single-tenant vs. multi-tenant architecture with Grafana Cloud: A guide to choosing the right approach

Grafana Cloud’s flexibility is one of its greatest strengths, but the breadth of choices can sometimes be overwhelming. We see this a lot when it comes to selecting the right architectural approach, with organizations unsure of how many stacks they need to host their environment. Grafana Cloud provides robust features for managing tenancy, enabling organizations to effectively handle diverse teams and projects.

Faster, more memory-efficient performance in Grafana Mimir: a closer look at Mimir Query Engine

Until recently, Grafana Mimir — our open source, horizontally scalable, multi-tenant time series database (TSDB) — has exclusively used Prometheus’ PromQL engine to evaluate queries. While the PromQL engine works great, it sometimes needs a lot of memory to run, specifically in the Mimir querier component. To address this memory consumption issue, we recently introduced Mimir Query Engine (MQE).