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…
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…
From reactive to proactive: How NAIC embedded AI‑powered observability directly into the IDE
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…
Evaluate LLM and agent quality in Dynatrace AI Observability with dt-evals
`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…