Why AI agents need an AI lakehouse in the modern enterprise
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…
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Coding agents are scaling fast. How do teams keep up?
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…
Query Dynatrace Managed data directly in Claude, AWS Kiro, GitHub Copilot, and other MCP-compatible clients
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 …
Our GitOps Journey in the AI Era
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Quit trying to keep up with every new AI tool and keep building
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…
Smarter, safer Agentic AI: Dynatrace observability meets NVIDIA AI-Q
Dynatrace provides full-stack observability for complex agentic AI systems by monitoring everything from GPU infrastructure and model performance to token consumption. Through its …
AI Infrastructure Monitoring: Why Your AI Stack Is Only as Strong as What Runs Underneath
Traditional monitoring methods are inadequate for the unpredictable, bursty nature of AI workloads, which can cause sudden and extreme strain on GPUs, networks, and storage. To ens…
Beyond LLM-as-a-judge: Establishing LLM evaluations as a foundation for trustworthy agentic AI systems
This article explores how LLM evaluations provide a systematic framework for measuring the quality, accuracy, and safety of probabilistic AI models as they move from experimentatio…
Log management for AI workloads: How to bring your logs and telemetry plan into the AI-first century
To support the scale and complexity of AI workloads, teams must transition from traditional, fragmented log management to a unified observability platform that integrates logs, met…
Five Worthy Reads: The growing tide of post-quantum cryptography
The rise of quantum computing threatens current encryption methods, necessitating an urgent global transition to post-quantum cryptography (PQC) to protect sensitive information. V…
How AI workloads are changing what logs must deliver, forcing a new strategy
As AI workloads drive a massive surge in telemetry volume, traditional log management is becoming prohibitively expensive and operationally risky due to fragmented tools and data-d…
Orchestrate multicloud AI agents for autonomous incident resolution
Dynatrace’s Cloud SRE Agents app provides a unified orchestration layer that integrates AWS, Azure, and Google Cloud AI agents to automate incident investigation and resolution acr…