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…
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…
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…
`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…
The rise of autonomous AI agents requires a shift from traditional, probabilistic observability—which relies on human-centric correlations—to a deterministic, context-driven archit…
Dynatrace Managed version 1.340 introduces redesigned Network and Disk interface pages for enhanced infrastructure observability, along with configurable log retention and storage …
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…
The Dynatrace SaaS 1.340 release introduces advanced Cost Intelligence tools designed to help users proactively understand, predict, and optimize their usage costs through actionab…
Dynatrace OneAgent version 1.339 introduces significant enhancements to AI observability, specifically adding automatic instrumentation for Python GenAI frameworks such as OpenAI, …
SNAT exhaustion in Azure is a networking failure that often masquerades as an application bug, causing intermittent service timeouts that are difficult to diagnose. Dynatrace’s Azu…
OpenTelemetry has officially graduated from the Cloud Native Computing Foundation (CNCF), establishing itself as a stable, production-ready standard for observability. This milesto…
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…
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…