Dynatrace and Cursor close the loop on AI-native development
Dynatrace has joined the SpaceX Super Intelligence Partner Network to provide a plugin that integrates real-time production context directly into the Cursor AI-native development t…
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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…
Your architecture diagram is not your resilience
Based on the title and the well-known subject matter of this article, here is a concise summary: The article argues that a theoretical architecture diagram represents an intended …
The Economics of Agent Optimization: How AI agent governance controls cost and proves ROI
Based on the title provided, here is a concise summary: This article explores how implementing robust governance frameworks for AI agents is essential for managing the high costs …
Runtime is where code tells the truth. Are you listening?
Dynatrace is attending the WeAreDevelopers Americas 2026 conference to demonstrate how observability can help developers navigate the complexities of AI-driven software development…
How to tackle platform engineering’s biggest challenges in 2026
While platform engineering is maturing through widespread adoption, organizations are facing significant headwinds from fragmented tooling, inconsistent standards, and the complex …
How Microsoft’s Physical Security Engineering Team scaled hybrid operations with Azure Arc and Azure Virtual Desktop
Microsoft’s Physical Security Engineering Team utilized Azure Arc and Azure Virtual Desktop to effectively scale and manage their hybrid operations. This implementation allowed the…
APM Dashboard: What It Shows, How to Use It, and What to Look For
This guide explains how engineering teams can leverage APM dashboards to accelerate troubleshooting by unifying metrics, logs, traces, and infrastructure data into a single, action…
Enterprise APM: How to Choose Application Performance Monitoring at Scale
As organizations scale, traditional APM tools often fail to handle the complexities of distributed, multi-cloud environments. This guide compares enterprise-grade solutions—such as…
Multi-Cloud Management Tools: A Practical Guide for Engineering Teams
As multi-cloud environments become increasingly fragmented, engineering teams must navigate various tools specialized in cost management, infrastructure orchestration, or observabi…
Proactive Monitoring Tools: Stop Reacting to Incidents After They Happen
Unlike reactive monitoring, which only alerts teams after a failure has already impacted users, proactive monitoring utilizes AI, dynamic baselines, and synthetic testing to detect…