Grafana Cloud is the easiest way to start collecting and visualizing your telemetry data. With the fully managed, cloud-hosted platform, even novice observability practitioners can get up and running right away — and Grafana Cloud integrations are a big reason why. In this blog post, we’ll dive into the details of Grafana Cloud integrations, including what they are, the kinds of insights they provide, and how Grafana Alloy plays a role.

One of the biggest challenges observability teams face today is gaining end-to-end visibility into their cloud native apps, including modern browser frontends. Without that visibility, you potentially open the door to bad end-user experiences that can hurt customer satisfaction, reduce search engine discoverability, and interfere with overall business goals. This is the exact challenge we address with Grafana Cloud Frontend Observability.

Managing multi-cloud environments often means juggling different monitoring tools for each provider, leading to increased complexity and operational overhead. To solve for that, we’re excited to introduce Cloud Provider Observability — an application for monitoring AWS, Microsoft Azure, and Google Cloud services, all in Grafana Cloud.

When you hear about Adaptive Metrics in Grafana Cloud, all signs point to how it’s a game changer. Adaptive Metrics, which aggregates unused and partially used metrics into lower cardinality versions, has delivered a 35% reduction in metrics costs on average for more than 1,200 organizations. Companies have also spoken candidly about the cost savings they gained from the feature.

We consistently roll out helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed it, here’s a roundup of the latest and greatest updates for Grafana Cloud this month. You can also read about all the features we add to Grafana Cloud in our What’s New in Grafana Cloud documentation.

Observability has become essential to organizations of all sizes, helping them get deeper, better insights into the infrastructure and applications driving their businesses.

About every two months, the Grafana k6 team releases a new version of the open source load testing tool to deliver new features and further enhance the user experience. In case you missed them, here’s a recap of recent k6 releases and some of the exciting updates they brought to our user base. Many of the features highlighted in this post relate to new web APIs that the community has been asking for, and that are widely used by JavaScript developers.

If you’re already familiar with distributed tracing, you know that spans are the building blocks of traces. But are you sleeping on what span events can do for you? First, you may need a wake-up call as to what a span event even is. While spans represent units of work or operation within a trace, a span event is a unique point in time during the span’s duration.

Let’s cut to the chase: Managing metric volumes at scale is hard. In fact, when we asked the open source observability community about their biggest concerns in this year’s Grafana Labs Observability Survey, the top four responses — cost, complexity, cardinality, and signal-to-noise ratio — can all be tied back to exponential growth in telemetry data.

As a site reliability engineer, you need constant vigilance and a keen eye for detail if you want to manage your Kubernetes infrastructure effectively. As part of that effort, you need to see the historical data from your pods, nodes, and clusters — even after they’ve been deleted or recreated. Many SREs rely on kubectl for this, and while it’s indispensable for real-time Kubernetes management, it presents some significant challenges with historical data.