Operations | Monitoring | ITSM | DevOps | Cloud

Learn what a unit test is, how AI coding assistants can write them for you, and the three key conditions every unit test should check to ensure software quality. Learn more: speedscale.com.

Agentic IT operations (Agentic ITOps) deploy autonomous AI agents that can perceive, reason, plan, and act to investigate incidents, coordinate people, and improve with every incident they touch. Think of it as the next step in a progression, where monitoring surfaced the symptoms, AIOps separated signal from noise, and Agentic ITOps takes action on what it finds.

The nature of cyber security is changing. In this video, I do a brief recap of a few of the compromises of the past couple weeks as well as highlight how our role as engineers is changing. Attackers have an easier time than ever in watching repos for changes to exploit 0-day vulnerabilities. But, it isn't all doom and gloom as long as we put in the effort. AI is creating a bit of an arms race between attackers and maintainers of sites and services, but there are actually more powerful tools available to defenders through exclusive programs like Daybreak, Glasswing, etc.

How do you trace a dropped conversion or a checkout failure to its technical root cause? See how full-stack observability in Grafana Cloud connects business impact to system performance across web and mobile clients, applications, infrastructure, and databases. In this session, Principal Software Engineer Jim Gehrett and Staff Product Manager Sarah Constant demonstrate how to start with a business problem and work backward through the technology stack to investigate its cause.

How does Uber use continuous profiling to improve performance and resource efficiency across several million CPU cores? In this Grafana Cloud case study, Senior Researcher Chris Zhang from Uber’s Frontier Tech Labs explains how the team uses Grafana Cloud Profiles and Grafana Assistant to identify expensive code and scale code optimization across its production systems.

See how Grafana Assistant uses AI to investigate incidents, identify root causes, and help remediate application problems. In this demo, Engineering Manager Ksenia Yadav and Staff Product Manager Maurice Rochau show how AI-powered observability supports the move toward autonomous operations, from detecting problems to generating code fixes and validating their impact in production. Explore how Grafana Assistant uses context from your telemetry, infrastructure, incidents, business data, and code to.