Dashboards

I am thrilled to introduce to you our new billing analytics feature, now generally available to all our users. This feature is designed to empower you with insights into your Qovery usage, enabling you to monitor, control, and optimize your cloud expenses effectively.

The on-call experience is sometimes a dreaded one for software engineers. Those late-night alerts and frantic Slack messages, after all, don’t exactly sound pleasant. But what’s an on-call shift really like? Is that perception of constant fire-fighting and 3 AM wake-up calls actually realistic? Michael Mandrus and Owen Smallwood, both senior software engineers here at Grafana Labs, wanted to set the record straight.

OpenTelemetry is a popular open source project to instrument, generate, collect, and export telemetry data, including metrics, logs, and traces. OTel, however, does not provide a monitoring backend — and this is exactly where the Grafana stack comes in. Here at Grafana Labs, we’re fully committed to the OpenTelemetry project and community.

Regardless of the industry they operate in or the number of people they employ, businesses with mature observability practices can respond to incidents faster — and save time and money in the process, according to the second annual Grafana Labs Observability Survey. Organizations are making observability a critical part of their software development lifecycles as they grapple with the complexity of modern applications.

Profile-guided optimization (PGO) is a compiler feature that uses runtime profiling data to optimize code. Now fully integrated in Go 1.21+, PGO is a powerful tool to boost application performance — and with Grafana Pyroscope, our open source continuous profiling database, you can significantly magnify the value of PGO. In this post, we’ll explore what PGO is, how the Pyroscope team has used it internally to improve performance, and how you can use PGO to make your own programs faster.

Toggle topic hub menu Engineering teams of today use a plethora of tools to perform different functions in the software development life cycle. While tools like Slack, Teams, etc. are great for quick notifications, they rarely give you a comprehensive view of the things in current state. Sure, you can switch between tabs for all your tools but an "Engineering dashboard" that brings this all together makes it much easier to consume quickly and effectively.