Operations | Monitoring | ITSM | DevOps | Cloud

How to Control Observability Costs with Grafana Cloud | Demo | Adaptive Telemetry | Loki | Profiling

In this video, Grafana Labs demonstrates how Grafana Cloud addresses the challenges of rising observability costs faced by organizations worldwide. As observability costs grow and logging architectures become increasingly resource-intensive, teams are forced to make difficult decisions about coverage, often leaving critical blind spots. Grafana Cloud offers a cost-effective, end-to-end observability solution that eliminates the need for compromise on efficiency or performance.

2025 observability predictions and trends from Grafana Labs

From AI to eBPF, 2024 reshaped the observability landscape. As we peer into 2025, Grafana Labs’ experts predict another year of innovation that will redefine how teams understand and optimize their systems, from profiling to platform engineering. Their insights align with what the community is saying, according to early responses from our third annual Observability Survey. Do you agree or disagree with the trends our team believes will transform the world of observability next year?

How to Automate CI/CD Tests with Grafana Cloud k6 | Demo | Performance Testing | GitHub Actions

Performance Testing with Grafana Cloud k6: Seamlessly Integrated into CI/CD Pipelines In this video, Grafana Solutions Engineer Sean Carolyn demonstrates how Grafana k6 integrates with CI/CD pipelines to make performance testing an effortless part of the development workflow.

PromQL vector matching: what it is and how it affects your Prometheus queries

Dawid Dębowski is a software engineer at G2A.COM and a Grafana Champion. Holding an MS of Computer Science, Dawid’s main fields of interest related to observability are PromQL and data visualizations using Grafana. Have you ever created an awesome query in PromQL, expecting it to return the exact results you’re looking for, only to receive the “No data” response when you run it? If so, you might have fallen into the trap of PromQL vector matching.

Grafana Labs: Top 10 moments of 2024

2024 was a year of making connections. The open source community gathered in person for GrafanaCON for the first time in five years — meeting in Amsterdam to celebrate Grafana 11, Loki 3.0, a new open source project (cue Grafana Alloy), and more. TailCtrl, an early-stage company that specializes in adaptive trace sampling, joined Grafana Labs to advance our Adaptive Telemetry story (welcome, founder Sean Porter!).

Open source at Grafana Labs: 2024 year in review

Open source has always been the bedrock for everything we build here at Grafana Labs, going all the way back to Grafana creator Torkel Ödegaard’s first commit in December 2013. Ten years after Grafana Labs was founded, open source continued to be our driving force as we worked to develop and evolve our core OSS tools and technologies in 2024.

Grafana Cloud in 2024: Year in review

Throughout 2024, we made a ton of updates to Grafana Cloud, our fully managed, cloud-hosted observability platform powered by the Grafana LGTM (Loki for logs, Grafana for visualization, Tempo for traces, Mimir for metrics) Stack. And, looking back, most of those updates were made with the same three goals in mind: to make Grafana Cloud more efficient, more intelligent, and easier to use, including for those just starting out on their observability journey.

Grafana Loki Query Best Practices with LogQL (Loki Community Call December 2024)

In this December's Loki Community Call, Cyril Tovena, Senior Principal Engineer and LogQL guru walks us through a Grafana Loki query tutorial with LogQL, the Log Query Language used for Loki. He talks about the key "Dos and Don'ts" of LogQL, offering practical tips to help you write better queries, boost performance, and sidestep common mistakes. Whether you’re tuning up your current setup or just diving into LogQL, Cyril’s got you covered.

Grafana 11.4 | Support for OpenSearch PPL and SQL queries in the AWS CloudWatch Data Source Plugin

In this video, Ida, a software engineer from the AWS Data Sources squad, introduces an exciting feature in the CloudWatch data source plugin. With Opensearch SQL and Opensearch PPL now supported, you can leverage familiar query languages to explore and visualize your AWS CloudWatch data alongside the existing Logs Insights query language. Learn how to: Availability.

Grafana 11.4 release: Introducing support for OpenSearch PPL and OpenSearch SQL in the AWS CloudWatch data source plugin

Holidays came early for AWS users: Grafana 11.4 introduces support for two new query languages in the AWS CloudWatch data source plugin. Grafana 11.4: Download now Announced during AWS re:Invent, AWS CloudWatch Logs expanded its querying capabilities with the addition of OpenSearch Piped Processing Language (PPL) and OpenSearch SQL. In Grafana 11.4, the AWS Cloudwatch data source plugin has been updated to offer the same functionality — and the same flexibility.