ObservabilityCON on the Road is coming to Toronto

Join Grafana Labs to kickoff ObservabilityCON on the Road with the latest in AI-powered observability in Grafana Cloud. Learn how we’re evolving our open observability cloud to help teams detect, understand, and act faster. At Grafana Labs, open has always been our strategy: open source, open standards, open data, and open minds. As complexity grows and AI reshapes how teams build and operate software, learn how that open strategy is helping organizations get value from their telemetry and turn signals into action – and observability into competitive advantage.

AI is transforming observability from a manual, expert-driven process into a collaborative, intelligent experience. In this talk, members of the Grafana Labs team, will show how Grafana’s agentic AI systems help users write queries, run investigations, manage dashboards, and resolve incidents while only using natural language. They will also share the lessons they learned building context-aware agents, addressing coordination challenges, and measuring quality with benchmarks. Finally, they’ll discuss why a single-pane-of-glass foundation is crucial for a future of truly intelligent agentic systems.

How do you build a reliability culture that scales—one that’s proactive, repeatable, and resilient? At Grafana Labs, we believe the answer lies in cultural maturity, enabled by a unified, observability-native IRM platform that connects people, processes, and tools. In this session, members of the Grafana Labs team will share how Grafana Cloud is helping teams move beyond reactive incident response with a unified, observability-native platform for IRM, SLOs, alerting, and postmortems. You’ll see how we’re embedding AI across the incident lifecycle to reduce noise, accelerate resolution, and turn incidents into continuous learning opportunities. Detect: Alerts now include more observability context via alert enrichment, automatically delivered to Slack and mobile. We’ll show how this – combined with new IRM webhook and workflow features – enables custom, context-rich workflows tailored to your tools and teams. Respond: See how the latest AI functionality and deep integration with Grafana transform incident response – surfacing related incidents, graphs, logs, and even recommended actions, keeping humans in control while reducing cognitive load. Learn: Post-incident reviews are no longer a chore with Service Center, which automates tagging, connects themes, and turns scattered incident notes into operational excellence reviews, all in one place. This is IRM reimagined for an AI-native world—built into your observability stack, not bolted on. Join us to learn how the right systems and cultural mindset can transform how your teams build and operate reliable software.

In this session, you’ll learn how Grafana Cloud ensures that you’re collecting exactly the data you need, when you need it – and that you understand what it costs too. Grafana Labs team members will demo the latest additions to the Adaptive Telemetry suite, which dynamically adjusts what data gets ingested based on your usage patterns and signals from your infrastructure. Building on the success of Adaptive Metrics and Adaptive Logs, Adaptive Traces and Adaptive Profiles are designed to make every byte worthy of your attention. They will also showcase new capabilities that help you understand what that data means, including automated performance and cost-optimization recommendations from your profiling data, and an LLM-powered approach to trace analysis that surfaces patterns and spans of interest, so you can spend less time searching and more time solving. Finally, they’ll introduce our revamped billing experience, featuring granular cost attribution, support for the open source FOCUS standard, and a new alerting flow that helps you avoid surprise bills. These improvements are built with FinOps in mind – empowering teams to understand and own their share of observability costs. Whether you’re chasing performance, reliability, or efficiency, Grafana Cloud’s telemetry backends built on Loki, Tempo, Mimir, and Pyroscope are evolving to do more of the heavy lifting for you.

In the 2025 Observability Survey, 71% of respondents reported that their organization is using both OpenTelemetry and Prometheus, and more than half said their investment in both has grown year over year. It’s clear that users want open standards and businesses demand quick and extensible coverage of their estate. But while OpenTelemetry and Prometheus provide great standards and protocols, there are many choices that need to be made by teams in order to adopt and get the full value of both at scale. In this session, Grafana Labs team members will demo Grafana Cloud’s native support for both OpenTelemetry and Prometheus, leveraging Grafana Beyla for eBPF-based autoinstrumentation and Grafana Alloy, a distribution of the OpenTelemetry Collector with built-in Prometheus pipelines, as a production-grade, optimized collector for open standards. The speakers will also discuss the Fleet Management feature and new developments like the instrumentation hub that enable customization at enterprise scale, increased productivity, and cost efficiency for ingest.

Observability traditionally begins inside your systems: logs, metrics, and traces that describe what’s happening behind the scenes. But your users don’t see that. They experience your product through browsers, APIs, and response times. To truly ensure reliability, you need visibility from the outside in. In this session, members of the Grafana Labs team will show how Grafana Cloud brings together three powerful tools – Synthetic Monitoring, Grafana Cloud k6 performance testing, and Frontend Observability – to help teams understand and improve what users actually experience. You’ll learn how to use the Grafana stack to answer questions like: Is my login flow reliable across regions? Are key APIs holding up under load? Are real users seeing degraded experiences? Whether you’re an SRE, performance engineer, or platform team lead, this talk will show you how to go beyond internal metrics and get a user-centric view of reliability – one that lets you act before your users feel the pain.