Traditional log management is no longer enough

Most legacy log management systems follow one rule: collect everything. It sounds logical—until you face terabytes of data that demand huge costs, manual event correlation, and slow root-cause analysis. In today’s dynamic environments — with containers, microservices, and hybrid clouds — logs alone can’t keep up. Without context, logs are just noise.

Dynatrace changes the game

Dynatrace takes a fundamentally different approach: it gives logs meaning. Instead of treating them as isolated data, the platform connects every log with metrics, traces, topology, and business transactions. This provides teams with actionable insights rather than raw data, enabling them to automatically identify root causes in minutes instead of hours.

Dynatrace is more than log collection

The Grail technology introduces a new era of the data lakehouse — schema-less, index-free, and infinitely scalable. Teams can query any data at any time and get results instantly.

With Davis AI, you get not just dashboards but real understanding: why an issue happened, how it affects users, and what to do next.

Thanks to Dynatrace AutomationEngine, log events can automatically trigger alerts, reports, or even self-healing workflows. No manual correlation, no endless searching. Just answers.

In summary

Modern log management isn’t about collecting more data but about understanding it in context. Dynatrace transforms log analytics into a continuous, intelligent process that helps teams work faster, reduce costs, and prevent issues before they impact users. In the world of observability, context is everything, and Dynatrace makes it effortless.