So you have heard that Grafana is a data visualization tool. But do you know how it is used to observe your system as a part of your DevOps practice? Watch episode 3 of the Grafana for Beginners series to find out!

Here's the Grafana Office Hours with Matt Durham and Paul Balogh, where we discuss Grafana Agent Flow mode and how it's better than static mode: https://youtube.com/live/-_SsFLoJvoc

And check out the documentation for flow mode here: https://grafana.com/docs/agent/latest/flow/

Senior Software Engineer Matt Durham shows us how to use flow mode for Grafana Agent. Flow mode is a new and better way to install and configure Grafana Agent than the older "static mode". Among other things, flow mode's modularity makes it easier to build more complex workflows like traditional data pipelines and allows for more use cases than collecting and processing telemetry.

Including AWS service metrics and logs into a single pane of glass helps engineers get holistic visibility into their infrastructure. Analyze 60+ AWS services across your individual accounts and regions without the toil of configuring data and building dashboards from scratch. Learn how to: Sign up for a free Grafana Cloud account today and unlock the potential of distributed tracing in your performance testing workflow.

In this video, we cover the latest and greatest news about the scalability and performance of the open source telemetry backends that make up the Grafana LGTM Stack: Grafana Mimir for Prometheus metrics, Grafana Loki for logs, and Grafana Tempo for traces.

In cloud native environments, finding and resolving issues across services and between application and infrastructure dependencies can be challenging. In this recording, we provide demos on Grafana Cloud’s latest capabilities for correlating application and infrastructure observability: Application Observability and Beyla — both generally available. You will hear how Grafana unifies and contextualizes service relationships and application and infrastructure dependencies to help you resolve problems faster.

Understanding your end users’ experience with your applications and services is critical, and there are a variety of tools to help. But there are also a number of different use cases: During development or in production? Simulate user behavior or monitor real user behavior? What should you use and when? This recorded session explores when and how to apply load testing, synthetic monitoring, and real user monitoring to gain insights into the end user experience of your critical applications.

A majority of respondents in our Observability Survey said they were using SLOs or moving in that direction. For good reason: By highlighting the most critical error budget burndown, service level objectives (SLOs) can help you prioritize performance issues based on business impact. In this recording, Josh Abreu Mesa and Reem Tariq walk through how Grafana Cloud’s integrated SLO and Incident Response Management (IRM) capabilities can help you identify the most important issues and resolve them quickly.

The cloud-based CRM company Pipedrive has been relentlessly modernising its observability stack, first adopting Grafana visualisation and Grafana Mimir for Prometheus metrics, then recently completed a migration of its distributed tracing from a third-party SaaS provider to OpenTelemetry and Grafana Tempo, and its logging stack from Graylog to Grafana Loki. Along the way, the team developed its own in-house library to include OpenTelemetry in its roughly 750 microservices.

Are your SRE and platform teams under pressure to ingest fewer metrics and logs in the name of cost savings? Reducing costs does not have to mean reduced observability. This recording walks through the cost management features in Grafana Cloud that allow you to analyze, attribute, monitor, and optimize your metrics and logs usage – and lower costs – without compromising your observability strategy.