Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

When your logs don’t follow a standard format, it can be difficult to extract valuable information, like key-value pairs and nested JSON objects. Grok parsing lets you define flexible patterns that match unstructured log data so you can extract specific fields to query, filter, and visualize. In this video, you’ll learn how to: By refining your Grok parsers, you can make your logs more useful for analytics, dashboards, or alerts, and get even more value from your logs.