Operations | Monitoring | ITSM | DevOps | Cloud

Grafana Beyla 2.0: distributed traces, scalable Kubernetes deployments, and more

In November 2023, we released Grafana Beyla 1.0, the first major milestone in our pursuit of zero-code (and zero-effort) eBPF instrumentation. We delivered a way — through a single command-line — to automatically instrument any application supporting HTTP/gRPC protocols, as well as provide basic network packet flow information.

From Datadog to Grafana Cloud: Why companies migrate and how it changes business for the better

“Impossibly expensive.”“Generic database metrics.”“Exceeding limits.”“No transparency.” These are the words our customers use to explain why they looked for a Datadog alternative and migrated onto Grafana Labs’ observability solutions. Grafana Cloud provided the scalability that LexisNexis Risk Solutions needed to migrate acquired companies into a unified observability platform. “We’ve had migrations from Datadog.

Observe Your Google Cloud Infrastructure | Demo: New Grafana Cloud Application | Grafana Labs

Want to monitor your Google Cloud infrastructure more effectively? Join Vasil Kaftandzhiev as he introduces Grafana Cloud’s new application designed specifically for Google Cloud observability. In this video, you'll discover how to: Optimize and troubleshoot your Google Cloud services Leverage out-of-the-box dashboards with key metrics and thresholds Set up comprehensive alerting for real-time incident response Streamline log management with an all-in-one logs view for faster root cause analysis Configure logs and metrics effortlessly using Grafana Alloy.

Why observability needs FinOps, and vice versa: the Vantage integration with Grafana Cloud

Ben Schaechter is co-founder & CEO of Vantage, a cloud cost management platform that provides actionable insights for every engineer. Observability tools have changed the way we monitor infrastructure and applications, as teams get complete visibility into performance across complex, multi-cloud environments. But as all that infrastructure scales, costs rise with it, and organizations are left to ask: Where are my costs going—and why?

How to visualize CSV data with Grafana

While CSV data is often associated with popular spreadsheet apps like Google Sheets or Microsoft Excel, Grafana offers a number of capabilities to quickly visualize and analyze data stored in a CSV format. In this post, we’ll walk through an example of how to use Grafana to visualize any CSV file from anywhere on the web. More specifically, we will: Moving forward, you can also apply these steps to build any kind of dashboard within Grafana.

SLOs: a guide to setting and benefiting from service level objectives

If you’re running a technology-driven business, reliability isn’t optional—it’s essential. But how do you balance speed and innovation with a level of reliability that satisfies your customers? That’s where service level objectives (SLOs) come in. SLOs offer a framework for defining and achieving reliability goals, aligning technical efforts with user needs, and driving meaningful outcomes for your business.

How to Set Up Actually Useful SLOs | Introduction to SLOs | Grafana Labs

Service Level Objectives (SLOs) should be more than just numbers on a dashboard—they should help your team deliver real value to your users. In this video, Jake Swiss from Grafana Labs walks you through three simple steps to create SLOs that align with business goals and drive better decision-making. Step 1: Understand What Really Matters – Align SLOs with customer expectations Step 2: Define Clear, Measurable Targets – Use RED metrics (Rate, Errors, Duration) to track meaningful performance Step 3: Continuously Iterate & Fine-Tune – Adjust SLOs based on historical data and team feedback.

How to Overcome Alert Fatigue in Your Alerting System | Introduction to SLOs | Grafana Labs

Cut Through Alert Noise with SLOs! Tired of endless alerts that don’t reflect real issues? SLOs (Service Level Objectives) help reduce noise by focusing on what truly impacts users. Instead of reacting to every minor spike, set SLOs to trigger alerts only when reliability is at risk.

How to integrate performance testing and continuous profiling for deeper application insights

A key goal of performance testing is to ensure your applications perform well under various levels of load. While critical, these tests are often conducted with minimal insight into why a system performs a certain way during testing. Metrics, logs, and traces may tell part of the story, but can miss the deeper details. This is where continuous profiling comes in.