Operations | Monitoring | ITSM | DevOps | Cloud

Introducing Learning journeys: New step-by-step guides to get started with Grafana

Our Big Tent philosophy provides the foundation for our broad, modular, and flexible observability platform. With Grafana’s powerful ability to integrate with a wide range of data sources, tools, and plugins, you can create customized solutions tailored to your unique needs.

Grafana Loki 3.4: Standardized storage config, sizing guidance, and Promtail merging into Alloy

The Grafana Loki 3.4 release is here, and it brings a fresh wave of enhancements aimed at standardizing Loki’s object storage, helping you right size your instance, and improving the ability to ingest out-of-order logs. Loki 3.4 also represents the official merging of Promtail into Grafana Alloy as part of our efforts to give our users a single telemetry collector. There’s a lot to go over, so let’s dive in.

How to cut costs for metrics and logs: a guide to lowering expenses in Grafana Cloud

Observability is essential to maintaining system reliability, but as your infrastructure scales, so do your costs. Between metrics and logs, managing telemetry data can become overwhelming and expensive. Grafana Cloud is already designed to be cost-efficient, but scaling can still present cost challenges. The good news? Grafana provides robust tools and best practices to help optimize observability data and rein in spending.

Monitor Google Cloud: simplify and centralize your cloud provider observability with Grafana Cloud

Organizations increasingly rely on Google Cloud to power critical parts of their businesses, but managing those environments often involves navigating a labyrinth of disparate data, tools, and processes. We built Google Cloud Observability in Grafana Cloud to reduce the complexity and confusion by providing a unified, scalable solution designed to simplify monitoring, enhance visibility, and optimize costs.

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.

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 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.