Investigate production issues from Cursor with the Dynatrace plugin
Dynatrace has launched a verified plugin in the Cursor Marketplace that connects the code editor directly to live Dynatrace environments using the Model Context Protocol (MCP). The…
Dynatrace has launched a verified plugin in the Cursor Marketplace that connects the code editor directly to live Dynatrace environments using the Model Context Protocol (MCP). The…
Dynatrace enhances OpenTelemetry by adding automated context and topology across the entire technology stack, including frontend experiences, backend services, infrastructure, and …
The integration of AI into production workloads is complicating SRE efforts by introducing new failure modes and shifting operational toil toward the supervision of unpredictable m…
Many enterprises struggle to demonstrate AI ROI because they focus on technical metrics, such as model accuracy, rather than the actual impact on end-to-end business processes. To …
Dynatrace's new log pattern analysis feature, currently in preview, automatically transforms massive volumes of unstructured log data into a handful of identifiable, actionable pat…
Dynatrace has entered a definitive agreement to acquire Arize, aiming to merge AI-native evaluation with enterprise-scale observability. This integration will bridge the visibility…
As enterprises move toward an "agentic" model, traditional data architectures are being replaced by AI lakehouses that provide the real-time, semantic context necessary for autonom…
The rapid adoption of AI-assisted development has created a "visibility gap," where AI-generated code can pass initial tests but introduce complex, undocumented errors that only ma…
The Dynatrace Managed MCP Server is a protocol adapter that allows AI assistants, such as Claude Desktop and GitHub Copilot, to access and query self-hosted Dynatrace Managed data …
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To navigate the overwhelming hype surrounding new AI coding tools, developers should focus on identifying creators who demonstrate real value through public work and shared impleme…
Dynatrace provides full-stack observability for complex agentic AI systems by monitoring everything from GPU infrastructure and model performance to token consumption. Through its …