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Dynatrace + Metis: Helping developers & SREs solve Database issues with AI

Dynatrace

If you’re a developer who has ever had to troubleshoot a database issue, you know how frustrating it can be. And with cloud-native databases like PostgreSQL and MySQL, the complexity only grows. Metis has built an AI-driven database observability platform designed for developers and SREs.

Database 306
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Why Replace External Database Caches?

DZone

Teams often consider external caches when the existing database cannot meet the required service-level agreement (SLA). This is a clear performance-oriented decision. However, external caches are not as simple as they are often made out to be.

Cache 278
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Catching up with OpenTelemetry in 2025

Dynatrace

With so many types of technologies in software stacks around the globe, OpenTelemetry has emerged as the de facto standard for gathering telemetry data. Other key domains, such as Databases and Messaging, are in very advanced stages and are expected to stabilize soon. OpenTelemetry Collector 1.0

Tuning 310
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Dynatrace launches Databases app to provide DBA insights across all databases

Dynatrace

Maintaining optimal application performance is crucial for businesses, and fast databases are vital in achieving this goal. For an effective approach to database performance, it’s crucial to have a comprehensive overview of all databases, including server-side DBs.

Database 246
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PostgreSQL 17: A Major Step Forward in Performance, Logical Replication, and More

DZone

PostgreSQL has grown remarkably over the years, and with each major release, it has become a more robust, reliable, and responsive database for both mission-critical and non-mission-critical enterprise applications.

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Intelligent observability for Oracle and SQL databases

Dynatrace

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.

Database 246
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Extend business observability: Extract business events from online databases (Part 2)

Dynatrace

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Similar to the tutorial extension, we created an extension that performs queries against databases.

Database 290