As your applications scale, so too does the flood of logs, metrics, profiles, and traces—along with the costs to store and manage them. Collecting everything might feel like the safest bet, but it often leaves you buried in noise and struggling to find the signals that matter, all while costs spiral out of control.

Service-level objectives (SLOs) can be a great way to ensure you’re hitting your goals, but many software teams struggle to set realistic targets when they first set up the service-level indicators (SLIs) that underpin those efforts. Sometimes management has a decree that all services will operate with “three 9s” of availability; other times engineers pick a number out of thin air.

As the new year rolls in, it’s a great time to reflect and think big. What were some of your notable achievements in 2024, and what are your goals for 2025? We often do this in our personal lives — but why not apply this same line of thinking to observability, as well?

We introduced Grafana Alloy last year in an effort to create the best possible open source “big tent” telemetry collector. A continuation of our work on Grafana Agent Flow, we designed Alloy to simplify observability at scale and to easily integrate with the OpenTelemetry and Prometheus ecosystems. We’ve seen lots of interest since Alloy was announced at GrafanaCON 2024, and industry observers are taking notice, too.

The European Organization for Nuclear Research (CERN) is famous for operating the world’s largest particle accelerator, but did you know that CERN is also at the heart of the world’s largest computing grid? And with such unprecedented computing demands comes some serious observability needs.

Like the fit your friend got on ASOS? There’s a good chance Grafana Cloud had something to do with that. Each year, more than 20 million customers come to the UK-based online retailer to fill their digital carts, and they expect a seamless online experience as they shop and check out. ASOS can consistently provide that with the help of Grafana Cloud. “There are alerts set up for many of our customer-facing journeys,” said Dylan Morley, Lead Principal Engineer at ASOS.

At Grafana Labs, our mission has always been to empower users with the tools they need to build their own observability solutions. Our big tent philosophy embodies this mission by allowing you to choose the tools and technologies that best suit your needs. In this post, we want to share an update to our LLM plugin that reflects this philosophy in action.

Umesh Pawar is a Senior Cloud Engineer at Searce, and is also the co-organizer of the Grafana and Friends Delhi Group. Umesh has been focused on infrastructure and app modernization, as well as observability solutions including the Grafana LGTM Stack, for the past two years. With the Google BigQuery data source plugin for Grafana, you can easily query and visualize data from BigQuery directly in Grafana.

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?

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.