Operations | Monitoring | ITSM | DevOps | Cloud

Fast front-end and back-end code alone won’t guarantee low end-to-end latency as hidden bottlenecks in the database can undermine even the best engineering efforts. In this session, Oleksii Serhiienko, Senior Site Reliability Engineer at GetYourGuide, will share how his team put database performance at the center of their monitoring strategy. He will highlight how they identified and fixed slow queries, uncovered load balancing issues that drove significant cost savings, and built monitoring practices that improved both reliability and investigation workflows.

​This session will focus on the agent based features of Sentry for debugging an issue in a web application. We'll move through the broken issue - and show how tools like Sentry Seer and the GitHub repo integration make it easy to determine the root cause of an issue by bringing all the context of Sentry and code in GitHub together, and how the Sentry MCP makes it easy to pull all that context down into GitHub CoPilot to fix it locally.

How do you get developers to instrument their code? You stop asking! Instead, pitch the value of observability by building them dashboards and implementing the no-code change solutions first, demonstrating the value of instrumentation.

Over 30% of your production logs might be useless DEBUG logs! This "bad telemetry" is expensive noise. The KubeCon talk I attended introduced a project called the Instrumentation Score which helps you find and fix bad telemetry.

While observability practices have evolved in recent years, they have largely focused on application services and infrastructure. Yet it is data what powers our applications, businesses, and AI models. When data issues occur, the consequences can be far reaching, from poor product experiences to billing errors to misinformed AI outcomes. In this session, Jonathan Morin, Group Product Manager at Datadog, shares real-world examples of incidents and explains how data observability can address them, helping teams detect issues earlier, reduce costly downtime, and restore trust in their data.