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Dynatrace Engineering Blog

Tutorials, tips and resources for engineers on cloud technologies and observability

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How Observability transforms vibe coding into AI engineering

Discover how to transform AI-generated code and Coding Agents from unpredictable contributors into reliable engineering work.

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Cyber Deception with Koney and Dynatrace

Deploy automated honeytokens in Kubernetes with Koney

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How CISA BOD 26-04 is reshaping the vulnerability remediation approach

Learn how CISA BOD 26-04 shifts vulnerability remediation toward risk-based prioritization with runtime context.

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Beyond LLM-as-a-judge: Establishing LLM evaluations as a foundation for trustworthy agentic AI systems

As organizations move from experimentation to production, measuring LLM performance reliably isn't optional.

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The silent network killer: Preventing Azure SNAT exhaustion with Dynatrace

Dynatrace Azure monitoring now alerts on SNAT exhaustion early—cutting guesswork and speeding cross-cloud incident response.

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Dynatrace expands AI Coding Agent monitoring for Claude Code, Google Gemini CLI, Codex CLI, OpenCode, and GitHub Copilot SDK

How reliable are coding agents within real developer workflows?

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Observability is a team sport

Observability is a shared responsibility across teams; collaboration, not silos, is key to effective observability.

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index4j: Open-source FM-Index for fast queries on compressed logs

The blog introduces index4j, a Java library that combines log compression and indexing using the FM-index.

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Best practices for hashing variable-length data structures

This article walks through why variable‑length fields make hashing tricky and how to handle them cleanly.

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AIOps