Article
Author: Oleksandr Hohsadze, Enterprise Sales Manager, BAKOTECH
For modern companies, recovery time after an incident is about service stability and company reputation. When a critical system is unavailable, every minute of delay can cost the business customers, money, and trust. So itʼs no surprise that MTTR (Mean Time to Repair) has become a key KPI for IT and SRE teams.
In this article, I will explore how to reduce incident recovery time, the role of artificial intelligence, and how Dynatrace contributes to improving MTTR.
How Dynatrace gathers knowledge into a single system
At first glance, it appears that companies have enough knowledge to eliminate any incidents. There is documentation, postmortems, dashboards, internal guidebooks, and, of course, the experience of the engineers themselves. However, the main problem lies here: at a critical moment, this knowledge is often scattered and unavailable. So, instead of reacting quickly, teams spend precious minutes searching for the information they need.
Dynatrace is focused on solving such challenges. It is an intelligent platform for monitoring and managing modern IT ecosystems. Dynatrace automatically collects and analyzes telemetry from the entire environment, from infrastructure and applications to the end-user experience. Thus, companies can see the entire picture, identify anomalies, and pinpoint the root causes of failures in real-time.
A key advantage of Dynatrace is Davis AI, built-in artificial intelligence that not only reports an issue but immediately points to the probable cause and assesses the scale and impact on the business. This has long made Dynatrace a unique tool for reducing MTTR compared to traditional monitoring systems.
Now, Dynatrace has moved further by introducing a new feature — Remediation Intelligence. It adds another dimension, integrating teams' organizational knowledge (Troubleshooting Guides, dashboards, postmortems) into a single incident resolution process.
As a result, instead of a chaotic search for information, engineers get relevant instructions directly from the Problems app — a hub where Dynatrace automatically aggregates all incidents and shows root causes.
How the technology works in practice
During the incident, Davis CoPilot automatically analyzes the existing knowledge base and reviews information about:
● guidebooks that were used in similar cases ● dashboards for hypothesis testing ● remediation actions from past successful cases
The process takes place directly in the Problems app, so the engineer sees all the data—from root cause to ready-made response scenarios—in one window. This eliminates the need to switch between dozens of tools or search internal knowledge bases, saving time and keeping you focused on solving the problem.
It is noteworthy that the search is not limited to keywords. Thanks to semantic analysis, Dynatrace finds even those materials where the issue is described in different words or in a different context. In this way, the team can quickly consider all their accumulated experience to overcome the issue.
If automation is configured in the organization, the system can immediately suggest running the appropriate playbooks. As a result, the time from diagnosis to specific actions is minimized, and MTTR is reduced significantly.
Benefits of Dynatrace Remediation Intelligence
Conclusion
The price of downtime is often too high. However, modern technologies make it possible to avoid risks—or at least significantly reduce them. The combination of AI, automation, and organizational knowledge is becoming a necessary condition for business stability and development.
Dynatrace has long helped companies see everything that is happening in their IT environments, automatically identify root causes, and reduce response time. With the introduction of Remediation Intelligence, the platform takes the next step: it converts the teamʼs knowledge and experience into practical actions.
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