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).

Distributed performance testing for Kubernetes environments: Grafana k6 Operator 1.0 is here

Performance testing is critical to build reliable applications, but testing at scale, especially inside modern Kubernetes environments, can be a challenge. For example, how do you coordinate tests across multiple nodes, test private services without compromising security, or even do both at once? And most importantly, how do you do all this without adding too much operational complexity to your stack?

How to connect ServiceNow to Grafana Cloud IRM incidents

Companies rely on a variety of services to streamline their workflows, which often requires data synchronization or information sharing across platforms. But are your tools flexible enough to connect with external systems? ServiceNow is widely recognized for its robust and complex workflow support for enterprises. However, it may not always offer the most intuitive or user-friendly experience when handling incidents.

Debug, query, and build faster with AI: How we use Grafana Assistant at Grafana Labs

We recently released Grafana Assistant into public preview for Grafana Cloud, and we’ve been excited to see how our customers have already made it part of their daily observability routines. At the same time, Assistant is becoming a go-to companion for developers right here at Grafana Labs, whether they’re debugging on-call issues, helping customers, or trying to remember tricky PromQL syntax.

Behind the Dashboard: How to monitor your LLM integrations

Behind the Dashboard is an ongoing series where we look under the hood of a specific Catchpoint feature. Each episode breaks down the technology itself, what’s challenging about using it for monitoring, and how we removed friction and toil to make it a valuable part of the Catchpoint platform. In this episode Leon, Mursi, and Rahul take a look at Catchpoint’s LLM monitoring capabilities, including ensuring your integrated LLMs are up and performing optimally; as well as knowing if you’re using the most effective (accurate) and economical (cheapest per query) option in your suite.