Dynatrace observability is now a Kiro power
The Kiro power for Dynatrace integrates live observability data, root cause analysis, and remediation suggestions directly into the Kiro AI-powered IDE. This integration allows dev…
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troubleshooting
7 articles
Bring real-time production insights into Claude Code with the Dynatrace MCP Server
This article details how to connect Anthropic’s Claude Code with Dynatrace using the Dynatrace MCP Server, enabling AI-powered troubleshooting and data analysis directly within Cla…
Deep troubleshooting and crash intelligence in the new Dynatrace RUM experience
Dynatrace has launched a new mobile troubleshooting experience (RUM) that unifies app performance and stability data – including crashes, ANRs, and view-level performance – into a …
Real-time insights: Leverage Dynatrace observability capabilities within Kiro powered by AWS
In today’s cloud-native environments, having real-time observability data at your fingertips is crucial. By integrating Kiro powered by AWS with Dynatrace, you can leverage powerfu…
Boost cloud reliability: Dynatrace and Azure SRE Agent unite for autonomous operations
The integration of Dynatrace with Microsoft Azure SRE Agent establishes a new benchmark for cloud operations by leveraging AI-based root cause analysis and real-time production ins…
From code to cloud: Dynatrace launches first GitHub custom agent, consolidating observability for developers
Much has been said about the distributed and ephemeral nature of today’s software development landscape. In recent years, the rise of AI and agentic ecosystems has further transfor…
K8sGPT for Kubernetes troubleshooting: How AI helps in different cases
Learn what K8sGPT offers and how it helps Kubernetes operators become more efficient. This article challenges various GenAI models with several issues and covers running local LLMs…