Operations | Monitoring | ITSM | DevOps | Cloud

Managing observability costs at scale: A look at the latest cost management features in Grafana Cloud

The benefits of observability are clear: deep visibility into system health, faster troubleshooting, and improved reliability (to name a few). But what’s equally clear is that, as organizations scale and evolve their observability strategies, they need a way to tap into these benefits without runaway costs. According to Grafana Labs’ 2025 Observability Survey, 74% of respondents say cost is a top priority for selecting tools.

A serverless approach to CI/CD observability with GitLab and Grafana

In today’s fast-paced development environment, it’s critical that you understand what’s happening in your CI/CD pipeline. And yet, many teams struggle with fragmented tooling that makes it difficult to get a holistic view of their dev lifecycle. For example, if you’re using GitLab for CI/CD and Grafana for observability, you’ve probably faced this challenge: how do you bring your GitLab events into your existing observability and alerting infrastructure?

ObservabilityCON 2025: A guide to all the announcements from Grafana Labs

Today at ObservabilityCON 2025 in London, we unveiled a number of exciting announcements and updates to Grafana Cloud that reimagine SaaS economics, simplify the complexity of running your observability stack at scale, and provide AI tooling that’s actually useful. (Root cause analysis via chatbot? Yes, please!) Check out the keynote to learn more about how we’re helping you do more with the open observability cloud, and read on for a quick recap of all the news from ObservabilityCON 2025.

ObservabilityCON 2025 Keynote: Grafana Assistant GA and Full-Stack Observability in Grafana Cloud

Join Grafana Labs CEO Raj Dutt, CTO Tom Wilkie, and engineering leaders to kick off ObservabilityCON 2025 with the latest in AI-powered observability in Grafana Cloud. See how Grafana is making observability smarter, simpler, and more scalable. This ObservabilityCON 2025 keynote unveils: AI-powered observability → Grafana Assistant (GA) and Assistant Investigations (Public Preview). Observability at scale → The Adaptive Telemetry suite is now complete (Traces GA, Adaptive Profiles in Private Preview) plus BYOC for flexible, cost-efficient cloud deployment.

Maximize data value and cut costs: Adaptive Telemetry for metrics, logs, traces, and profiles in Grafana Cloud

When it comes to observability, more data doesn’t always mean more clarity. In fact, as telemetry volumes grow, it only becomes more difficult to discern the signals from the noise and to keep overall costs in check. This is exactly why we built Adaptive Telemetry, a suite of features in Grafana Cloud that analyzes how your telemetry is used and then automatically recommends actions like aggregating, sampling, dropping, or reducing low-value data.

AI-powered observability: Resolve incidents faster, reduce alert fatigue, and expand access

When an incident lands in your lap, you’ll often start with a lot of questions: Why is latency so high? What’s causing this outage? How much money are we losing at this very moment? The uncertainty—and the pressure to quickly find answers—has always been one of the more nerve wracking parts of being an on-call engineer, but it doesn’t have to be that way any more.

The observability maturity curve: How IT leaders are shifting from tools to outcomes

Observability has come a long way from its origins in monitoring logs and metrics. Today, it sits on a maturity curve: Organizations move from fragmented tool stacks to unified platforms to proactive engineering practices that tie reliability to business outcomes. To better understand where IT leaders are on this curve, Grafana Labs surveyed 150 decision-makers across industries in advance of ObservabilityCON 2025.

A closer look at Grafana k6 browser: alignment with Playwright, modern features for frontend testing, and what's next

Over the years, we’ve seen our community embrace Grafana k6 browser as a key component of their frontend testing strategies. By helping collect frontend web vitals, capture custom metrics, and simulate user actions like clicking buttons or completing forms, the module offers teams a deeper understanding of performance and availability from their end users’ point of view.