Operations | Monitoring | ITSM | DevOps | Cloud

Shorten your 'inner loop' as a new hire and get past imposter syndrome with Grafana Assistant

Let's talk about being new. Four months ago, I joined Grafana Labs as a senior solutions engineer. It wasn’t just a new company, it was a new industry. I came from the visual workspace provider Miro, where I was comfortable doing discovery and talking about visual collaboration and innovation. But stepping into observability? I was in the deep end. And let me tell you, the imposter syndrome was real. Everyone around me was fluent in this language of metrics, logs, and traces.

What is high cardinality, and is it as scary as people make it out to be?

Dawid Dębowski is a software engineer at G2A.COM and a Grafana Champion. Holding an MS of Computer Science, Dawid’s main fields of interest related to observability are PromQL and data visualizations using Grafana. If you’ve ever worked with custom metrics in a Prometheus environment, you've probably heard about something called "high cardinality"—or at least I hope you have.

How to perform HTTP checks in Grafana Cloud Synthetic Monitoring

Your users should not be the first to know when your application goes down. When HTTP endpoints fail or respond sluggishly, users experience timeouts, connection errors, and degraded performance — often without clear indication of the root cause. This is where HTTP checks in Grafana Cloud Synthetic Monitoring come in, allowing you to proactively monitor your endpoints, verify they're online, measure response times, and ensure they're returning the correct status codes.

Grafana community dashboards: Memorable use cases of 2025

Every year, Grafana dashboards surface in new corners of the world. And this year, they even reached beyond this world—helping one team land on the moon and another monitor the planet’s health with orbiting satellites. Meanwhile, back here on Earth, the community used Grafana to track everything from wind turbines and wastewater to March Madness and Taylor Swift’s worldwide tour. Here’s a look back at some of the most memorable Grafana community dashboards of 2025.

Get started with Grafana Alerting: Link alerts to visualizations

In this tutorial you will learn how to link alert rules to time series panels for better visualization. Don't miss the rest of the "Get started with Grafana Alerting" series! Each part dives into a different feature to help you get the most out of alerting in Grafana.

How to share and analyze survey data (or other business metrics) in Grafana

Our annual Observability Survey provides some great insights on the state of industry and all things observability. And for the third edition of the survey, published last March, we wanted to bring the results into a Grafana dashboard—not just because we could, but because it was quite a nice way to interact with the data. After all, Grafana isn't just for IT observability. You can use it to monitor everything from BI data to lunar landings to pet pythons—and now, survey data.

Tail sampling vs. head sampling in distributed tracing

In this video, Grafana Labs' Robin Gustafsson (CEO for K6 + VP, Product) and Sean Porter (Distinguished Engineer) discuss the differences between head sampling and tail sampling approaches in distributed tracing. They explore why head sampling often amounts to sampling randomly and hoping for the best, while tail sampling — the approach used by Adaptive Traces in Grafana Cloud — allows you to intelligently capture the traces that actually matter to you.

Logging Best Practices (Grafana OpenTelemetry Community Call)

We’re back with a new Grafana OpenTelemetry Community Call episode, and this time we’re diving into logging with OpenTelemetry and Grafana Loki! Even better, we’re joined by two fantastic guests: Jack Berg, OTel logging expert, and Ed Welch, Loki guru. Getting both of them in one conversation makes for an amazing deep-dive into all things logging. Logs come in every shape and size, from simple CLI output to massive distributed systems generating petabytes of structured data. In this episode, we’ll talk about.