Dynatrace promises developers better control over databases
The acquisition of the Israeli start-up Metis gives Dynatrace AI-supported observability tools for monitoring and optimizing databases.
(Image: erstellt mit KI von iX)
Dynatrace has announced its intention to expand its observability platform to include AI-supported functions for monitoring and optimizing databases. To this end, Dynatrace has acquired the Israeli start-up Metis, founded in 2021 by Roee Kriger (CEO) and Itay Braun (CTO). Metis has developed an AI-supported observability system that is specifically tailored to databases and is intended to provide developers and site reliability engineers (SREs) in particular with deeper insights.
Databases play a central role both in software development and in the provision of applications. The smooth operation of databases is therefore a critical factor for developers. With assistants that make use of artificial intelligence, those responsible at Dynatrace want to equip their observability platform for the necessary troubleshooting and performance optimization. The technology developed by Metis provides targeted recommendations for SQL statements, vector search queries, indices, and database schemas as well as for automated corrective measures.
In addition to the observability functions already available for databases via the Dynatrace platform, the Metis technology is primarily intended to further expand user support. To this end, the company wants to integrate the AI assistants from Metis with Dynatrace Davis AI and Davis CoPilot. According to the announcement, preparations for this have already begun, and the first concrete functions should be available on the platform over the course of the year.
(Image:Â AtemisDiana/Shutterstock)
The online conference Mastering Observability by iX and dpunkt.verlag on June 5, 2025 offers more on observability. Under the motto "Logs, metrics and traces are important, but ...", the event provides answers to the question of how observability can be used to successfully assess, monitor and improve distributed systems.
From the program:
- Think Big: Monitoring Stack was yesterday - Observability Platform at scale!
- Running Loki in AWS - insights and pitfalls
- Holistic Observability with Synthetic Monitoring and OTel Signals
- 011y worst practices - A measured tier list
Get an early bird discount until May 7.
(map)
