How Observability transforms vibe coding into AI engineering
To transform unreliable AI-generated code into production-ready software, organizations must move beyond simple prompting toward a multi-layered approach involving structured plann…
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Engineering
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Cyber Deception with Koney and Dynatrace
Koney is an open-source Kubernetes operator that automates cyber deception by deploying "honeytokens," or decoy files, across a cluster to catch attackers during unauthorized acces…
How CISA BOD 26-04 is reshaping the vulnerability remediation approach
CISA’s new Binding Operational Directive (BOD) 26-04 mandates that U.S. federal agencies transition from using static severity scores to a risk-based vulnerability prioritization m…
Your Kubernetes cluster has a graph. Here’s how to interrogate it.
This article explores how Dynatrace Smartscape on Grail uses a traversable, typed graph to model Kubernetes environments, providing SREs with a unified data model for observability…
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…
The silent network killer: Preventing Azure SNAT exhaustion with Dynatrace
SNAT exhaustion in Azure is a networking failure that often masquerades as an application bug, causing intermittent service timeouts that are difficult to diagnose. Dynatrace’s Azu…
Dynatrace expands AI Coding Agent monitoring for Claude Code, Google Gemini CLI, Codex CLI, OpenCode, and GitHub Copilot SDK
Dynatrace provides a unified observability layer to help engineering teams monitor and manage the growing adoption of various AI coding agents, such as Claude Code, Gemini CLI, and…
Observability is a team sport
The author argues that observability should be treated as a shared responsibility across all engineering roles—including developers, SREs, and DevOps—rather than the task of a cent…
index4j: Open-source FM-Index for fast queries on compressed logs
The FM-Index is a data structure designed to provide both high compression and fast, flexible substring searching for large, static datasets like log files. The article introduces …
Best practices for hashing variable-length data structures
This article explores how concatenating variable-length fields can cause hash collisions and proposes more reliable serialization strategies, such as using delimiters, length prefi…
Dynatrace for AI: Teach your AI coding agent how to use Dynatrace
Dynatrace for AI is an open-source collection of agent skills and prompt templates designed to equip AI coding assistants with the domain expertise required to work accurately with…
Achieving enhanced observability for Alibaba Cloud in multi-cloud environments with Dynatrace
The Dynatrace Alibaba Cloud extension integrates Alibaba Cloud telemetry directly into the Dynatrace platform to provide unified, AI-powered observability across multi-cloud enviro…