Operations | Monitoring | ITSM | DevOps | Cloud

Loki Community Call LIVE from GrafanaCON 2026

Join us live from GrafanaCON 2026 for the Loki Community Call! We’re kicking things off with a look at everything happening in the Loki ecosystem, alongside special guests Poyzan Taneli, Ben Clive, and Trevor Whitney. In this session: We take a look back over the last year in Loki Explore the brand new “Thor” architecture Dive into what’s coming next for logging at scale From a completely new columnar storage format and Kafka-based ingestion, to a redesigned query engine and improved support for high-cardinality data—Loki is evolving to meet the demands of modern logging.

Pyroscope Community Call LIVE from GrafanaCON 2026

Join us live from GrafanaCON 2026 for the Pyroscope Community Call! We’re kicking things off with a look at everything happening in the Pyroscope ecosystem, alongside special guest Alberto Soto. In this session: We take a look back over the last year in Pyroscope What’s new in continuous profiling What’s coming next From multi-language source code integration and symbolization improvements to OpenTelemetry profiles and performance gains, Pyroscope has evolved rapidly over the past year.
Sponsored Post

From Microsoft SCOM to Dashboards

System Center Operations Manager (SCOM) remains one of the most capable on-premises monitoring platforms for Microsoft environments. However, as IT operations evolve toward real-time observability and self-service insights, traditional SCOM reporting and consoles can feel restrictive. This whitepaper explores practical ways to extend and modernize your SCOM visualizations using today's leading dashboarding technologies - including SquaredUp, Grafana, Power BI, and Azure Workbooks.

Grafana 13 TL;DR - What's New (and Worth Your Time)

Grafana 13 is here! In this video, we walk through the biggest updates and improvements, from faster ways to build dashboards to new features that make Grafana easier to manage at scale. We cover things like: If you’ve ever struggled with broken dashboards, messy layouts, or just getting started from scratch, this release focuses on making those workflows a lot smoother. This is a TL;DR, so we’re just scratching the surface—but it should give you a solid sense of what’s new and what’s worth checking out.

Grafana Assistant everywhere: Customize and connect to the AI agent to fit your specific needs

The ways you and your teams build and observe your systems are changing. It’s no longer just engineers looking at dashboards, or writing queries or config files. More often, it’s an agent interacting with the data, too, helping write code, run applications, investigate incidents, rightsize deployments, and more.

Introducing Pyroscope 2.0: faster, more cost-effective continuous profiling at scale

Continuous profiling is becoming a standard part of the observability stack, and for good reason. It's the only signal that tells you why your code is slow or expensive, not just that it is. Metrics tell you CPU usage is high. Logs tell you a request was slow. Traces tell you which service is the bottleneck. But only a profile tells you which function, on which line, is burning the cycles. As systems grow more complex, that level of visibility becomes essential.

GrafanaCON 2026 announcements: A guide to all the latest news from Grafana Labs

GrafanaCON 2026 kicked off in Barcelona, which is a fitting city to reveal the latest updates in Grafana 13. In 2013, Grafana Labs Co-founder Torkel Ödegaard made the first commit for what would become Grafana while he was on vacation in the Catalan city. "I was traveling here for the Christmas holiday and I got a cold and spent most of the day in bed coding and working on Grafana," said Torkel during the opening keynote of GrafanaCON, our biggest community event of the year.

AI Observability in Grafana Cloud: A complete solution for monitoring your agentic workloads

The observability industry has developed great tools for using metrics, logs, traces, and profiles to monitor the cloud native applications that have dominated the last decade of software development. But when it comes to understanding what an AI system is actually doing, we’re often left reading raw conversations, guessing at quality, and reacting too late. And that’s a problem.