Operations | Monitoring | ITSM | DevOps | Cloud

How Teams Are Using AI to Tackle Observability Challenges (2025 Survey Insights) | Grafana Labs

In Grafana’s 3rd annual Observability Survey, over 1,000 engineers and leaders shared their challenges — tool sprawl, complexity, rising costs, and nonstop alerts — and their hopes for how AI can help.

Grafana Campfire - Using the Drilldown Apps (Grafana Community Call - August 2025)

In this Campfire Community call, we will discuss about the new Grafana Drilldown Apps and how they differ from Explore. We will discuss how it has been continuously evolving to become a core part of Grafana OSS, enabling users to access data easily.

How To Visualize Your Sales Data: Salesforce Enterprise Data Source for Grafana

Learn how to monitor your organizations sales performance by connecting Salesforce with Grafana! In this quick-start tutorial, Shawn Pitts walks you through everything — from setting up your Salesforce connection to visualizing real-time data in Grafana. Whether you’re on a free Grafana Cloud plan, a paid tier, or running Grafana Enterprise on-prem, you’ll see exactly how to unlock powerful dashboards for your team.

Why Alert Fatigue is a Major Challenge in Observability (2025 Survey Insights) | Grafana Labs

Over 1,200 engineers, leaders, and teams shared their biggest observability challenges in our third annual Observability Survey — and the results are in. In this video, Marc Chipouras (Head of Emerging Products, Grafana Labs) breaks down the top insights: Thanks for watching!

Getting Started with Grafana Cloud's AI Assistant for Observability

The pace of software delivery in 2025 is unprecedented — cloud-native apps, microservices, and AI-generated code are shipping in days, not months. But one challenge never changes: ensuring reliability and visibility when systems fail. In this video, we explore how the new Grafana AI Assistant brings true, context-aware observability to your stack. Watch as we deploy an open-source Python service with Kafka, Postgres, Kubernetes, and Prometheus then use the AI assistant to instantly generate dashboards, alerts, and reduce un-needed telemetry volume.