Digital Experience Monitoring with Grafana Cloud: Session Replay, synthetic checks, and faster investigations

When something breaks in production, the questions that matter most are also the toughest to answer from metrics alone: who was affected, what did they actually see, and is this worth waking someone up for? Answering those questions requires a fuller picture of the issue and its impact on your users. That’s where Digital Experience Monitoring (DEM) in Grafana Cloud comes in.

Custom labels in Grafana Cloud Synthetic Monitoring: New updates for consistency and ease-of-use

Labels are a powerful way to organize telemetry and define policies across Grafana Cloud, helping to streamline alerting, attribution, access control, and more. But traditionally, custom labels in Synthetic Monitoring have worked a little differently: they only lived on a single sm_check_info metric, and Grafana Cloud prefixed each one with label_.

Grafana Tempo + Pyroscope: Profiles Traces (Sept 2026 Community Call )

Profiles + Traces and span redaction Can't comment in the chat? You may need to create a channel. Join us live for an introduction to flame graphs. We’ll cover what they are, how to read them, and how to use them to find performance bottlenecks in your applications. Bring your questions! Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, traces, and profiles. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more.

How to monitor Cypress tests with Grafana Cloud

If your Cypress suite has tests that fail more often or run slower, you know it can be hard to figure out the pattern from a single job. It could be one spec that slowed down, or a single test that fails, or maybe the entire suite is trending slower. The root cause could be a bug in the app, or a flaky test, or something else.

How to use Grafana auto grid dashboard option for flexible layout across devices

Learn how to use the auto-grid option, a flexible panel layout that adapts to varying screen sizes and dynamic content. Creators can now define the max number of columns or max height of panels, making dashboard layouts more responsive and maintainable.

How to measure and improve instrumentation quality for better full-stack observability

Modern engineering teams instrument everything, with metrics, logs, traces, and profiles flowing from hundreds of services at once. But full-stack observability isn’t really about collecting more telemetry; it's about having a single, unified picture of how your services connect to every layer beneath them, including their dependencies, the pods and nodes they run on, and the logs, traces, and profiles that explain their behavior.

The Grafana AI SDK for Go: a shared foundation for building AI applications

Starting an experiment with an LLM has never been easier. Keeping a growing collection of those experiments consistent is another matter. Earlier this year, as more teams began exploring AI features here at Grafana Labs, we repeatedly encountered the same pattern: a new experiment would start, move quickly, and build its own client for whichever model provider it needed. The next experiment would do the same, with a slightly different abstraction for streaming, tools, errors, or provider configuration.

Getting started with ConnectWise PSA dashboards

If you run your service desk on ConnectWise PSA, it's already the system of record for almost everything that matters. Tickets, agreements, configurations, projects, time entries, it's all in there. What it doesn't give you is an easy way to put that data next to the rest of your stack, your RMM, your security tooling, your backup platform, so you can look at a client and see the whole picture rather than one system at a time.

Alert fatigue, AI triage, and incidents: Lessons from observability experts at Cyera, PlayHQ & NAB

Observability looks perfect in a slide deck – in practice, it's messier. In this panel, engineering leaders from Cyara, PlayHQ, and National Australia Bank share what really happened when they scaled observability: unexpected cloud bills, alert fatigue, a weekend database outage caught by an AI-assisted triage agent, and a vendor dispute settled by a single chart. They also cover moving beyond legacy tooling, using AI to close the PromQL skills gap, and what's next – from agentic SDLC integration to continuous profiling. Real stories, real numbers, real lessons.