Learn how Grafana Cloud helps analyze, manage and optimize observability spend from a central location called the cost management hub. The move to cloud-native architectures like K8s and Prometheus has caused an unprecedented increase in telemetry data that has resulted in observability bills skyrocketing. With Grafana Cloud and the central cost management hub, you will be able to answer any cost-related question with the tools to inspect, attribute, optimize and monitor your observability spend.

Asserts.ai, which provides an easier way of exploring your telemetry and deriving new insights for more efficient root cause analysis and faster issue resolution, is now a part of Grafana Labs. Watch this early demo of Asserts in Grafana Cloud.

Investigate the source of high log volumes in Grafana Cloud by leveraging log labels to understand which teams or applications are responsible for log usage. In this video, see how to use the Log Volume Explorer with a point-and-click user interface and explore log volumes by using any combination of labels associated with the logging data. Slice and dice the data as you choose to see log volume broken down by teams, applications, clusters, cloud region.

Having observability and monitoring solutions is a great way to gain insights into your applications' health, behavior, and performance. However, it doesn’t prevent incidents. Observability needs a partner, and this is where Grafana k6 can help you! In this video, Marie Cruz, a Developer Advocate at Grafana Labs, explores what Grafana k6 is, why it's the missing puzzle piece in your Grafana stack, and how to get started.

This week, we're talking about how you can do load testing on Kubernetes with k6 Private Load Zones, a new feature on Grafana Cloud k6 that leverages the k6 Kubernetes operator to allow you to run distributed load tests against applications behind a firewall. Here to discuss this new feature are Senior Software Engineer Olha Yevtushenko, Product Manager Daniel González Lopes, Developer Advocate Paul Balogh, and Senior Developer Advocate Nicole van der Hoeven.

Grafana Cloud Application Observability provides an out-of-the box experience to monitor application performance and minimize MTTR. With its native support of the open standards OpenTelemetry and Prometheus, Application Observability unifies signals across the full stack, accelerating root cause analysis while removing proprietary formats and vendor lock-in. Watch this demo of how to use Application Observability in Grafana Cloud.

Grafana SLO makes it easy to create, manage, and scale service level objectives, SLO dashboards, and error budget alerts in Grafana Cloud. Watch a detailed demo of how Grafana SLO works — and learn how you can identify the most important issues in your system and resolve them quickly.

The eBPF-based OSS auto-instrumentation tool Grafana Beyla makes it easier to get started with application observability. Beyla provides RED (Rate, Errors, Duration) metrics through OpenTelemetry or Prometheus for your existing web services, whichever language they are written in. You don’t need to change any line of application code or configuration; you only need to deploy the Beyla in the same host as the service that you want to monitor. Collecting monitoring data with the eBPF autoinstrument tool has very low overhead, and allows you to capture data about your runtime, which is impossible with manual code instrumentation. Watch this in-depth demo of how to use Grafana Beyla to get started with application observability.

Adaptive Metrics is a cost management feature in Grafana Cloud that helps enterprises control Prometheus cardinality and reduce their observability spend by identifying and eliminating unused metrics. Grafana Cloud customers using Adaptive Metrics see 20-50% reduction in their observability bill.

In this episode of Grafana Office Hours, Developer Advocates Marie Cruz and Nicole van der Hoeven speak with John Hill, a Web UI Test Engineer and Grafana k6 champion, to talk about how the Grafana and k6 ecosystems can be used to ensure performance in mission-critical applications like NASA’s Open MCT.