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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From reactive to proactive: How NAIC embedded AI‑powered observability directly into the IDE
By integrating Dynatrace observability data directly into AWS’s Kiro AI-powered IDE, NAIC has eliminated the productivity loss caused by context switching between development and m…
Evaluate LLM and agent quality in Dynatrace AI Observability with dt-evals
`dt-evals` is an open-source CLI tool designed to evaluate the quality and safety of LLMs and agents by analyzing real GenAI traces using a "LLM-as-a-judge" approach. By integratin…
Exploring AI Integration in Zabbix with Gemini and WebMCP
The article traces the evolution of AI integration in Zabbix monitoring, moving from custom-built chatbots to the standardized Model Context Protocol (MCP) for more seamless, reusa…
Port and Dynatrace: One-prompt incident triage with the Dynatrace MCP Server
The new Dynatrace MCP Server integration enables Port AI to correlate live production data from Dynatrace with signals from GitHub, Slack, and the Port service catalog. This allows…
OpenTelemetry graduates: A milestone for the observability Open Source community
OpenTelemetry has officially graduated from the Cloud Native Computing Foundation (CNCF), establishing itself as a stable, production-ready standard for observability. This milesto…
AI agents are redefining software development—but they’re flying blind without observability
The software development landscape is shifting into a bimodal era where traditional human-led teams coexist with emerging, AI-agent-led operations. Because AI agents lack visibilit…
Dynatrace MCP Server for Atlassian Rovo: Investigate production problems without leaving Jira or JSM
The Dynatrace MCP Server for Atlassian Rovo enables developers and on-call engineers to investigate production issues directly within Jira and JSM using plain language via an AI ag…
Scaling enterprise AI with confidence: Dynatrace joins the Dell Technologies AI Ecosystem Program
Dynatrace has joined the Dell Technologies AI Ecosystem Program to provide end-to-end observability and governance for AI workloads running on Dell's validated infrastructure. This…
Dynatrace expands AI Coding Agent monitoring for Claude Code, Google Gemini CLI, Codex CLI, OpenCode, and GitHub Copilot SDK
Dynatrace provides a unified observability layer to help engineering teams monitor and manage the growing adoption of various AI coding agents, such as Claude Code, Gemini CLI, and…
Dynatrace for AI: Teach your AI coding agent how to use Dynatrace
Dynatrace for AI is an open-source collection of agent skills and prompt templates designed to equip AI coding assistants with the domain expertise required to work accurately with…
Google Cloud Next 2026: A look into the autonomous future of cloud operations
At Google Cloud Next, Dynatrace announced new integrations and tools designed to accelerate AI adoption and enable autonomous cloud operations in partnership with Google Cloud. Key…