When AI Agents Enter the Enterprise, Is Our Observability Ready?
As AI agents transition from simple assistants to autonomous actors within enterprise workflows, traditional observability frameworks may no longer be sufficient. The article exami…
Back to all articles
Category
AI
62 articles · Page 1 of 6
Contain, observe, adapt: Three trends shaping agentic software development
Following the We Are Developers World Congress, three primary challenges for deploying AI agents in production emerged: ensuring secure agent containment, implementing robust obser…
From symptom to fix in minutes: AI-assisted development with Dynatrace MCP
The Dynatrace MCP Server bridges the gap between AI coding assistants and live production environments by providing AI agents with direct access to real-time observability data via…
Dynatrace completes acquisition of Arize to advance full-lifecycle AI observability
Dynatrace has acquired Arize to integrate AI-native tracing, evaluation, and experimentation capabilities with its existing observability platform. This acquisition aims to create …
Dynatrace achieves ISO/IEC 42001 certification
Dynatrace has achieved the ISO/IEC 42001:2023 international certification, validating the management systems used to govern the development and operation of its AI-powered capabili…
From insight to innovation: How Kiro Crew, Dynatrace, and AWS are helping teams do more
Kiro Crew, Dynatrace, and AWS have partnered to launch an intelligent tool that transforms observability data into actionable engineering workflows. By using AI agents to rank and …
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…
Connect OpenTelemetry signals end-to-end with Dynatrace
Dynatrace enhances OpenTelemetry by adding automated context and topology across the entire technology stack, including frontend experiences, backend services, infrastructure, and …
AI is changing the reliability game for SREs
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…
From AI experiments to business outcomes: How to measure what matters
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 …
From millions of log lines to actionable patterns in seconds with logs pattern analysis
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 and Arize bring full-lifecycle observability to AI applications
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…