# dynatrace Published articles for dynatrace. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## It passed CI. It passed your evals. The customer still got the wrong answer. DevFeed: [It passed CI. It passed your evals. The customer still got the wrong answer.]() Original publisher: [Read original article]() Author: Sean O'Dell Published: 2026-09-13T14:00:00Z Content type: article Language: en Sources: [The New Stack]() Topics: [AI Agent](), [agent observability](), [observability](), [tracing](), [dynatrace](), [ci](), [coding]() Tags: [ai](), [ai-agent](), [ai-agents](), [ai-engineering](), [ci](), [coding](), [dynatrace](), [observability](), [post-contributed](), [sponsor-dynatrace](), [sponsored](), [sponsored-post-contributed](), [traces]() ### AI overview The article explains how AI-agent failures can pass CI and evaluations while still producing slow or incorrect customer-facing results. It presents distributed traces and agent trajectories--model calls, tool calls, arguments, and results--as evidence for debugging retrieval behavior, release context, and feature-flag state. ### Source excerpt A diff is not evidence. It's a statement of intent. The tests passed. The review's done. The change is live. The post It passed CI. It passed your evals. The customer still got the wrong answer. appeared first on The New Stack. ## 4 Speculative Decoding Variants DevFeed: [4 Speculative Decoding Variants]() Original publisher: [Read original article]() Author: Avi Chawla Published: 2026-09-12T20:03:46Z Content type: article Language: en Sources: [Daily Dose of Data Science]() Topics: [dynatrace](), [MCP](), [MCP Server](), [Traces](), [Latency]() Tags: [coding-agents](), [dynatrace](), [latency](), [mcp](), [mcp-server](), [traces]() ### AI overview This article explains how Dynatrace's open-source MCP server and related skills bring production traces and logs into coding agents for performance investigations. It also introduces speculative decoding, in which a cheaper drafter proposes tokens and a target model verifies them in parallel, then outlines variants based on how drafts are produced. ### Source excerpt ...covered with tradeoffs in production. ## The AI-native SDLC won't be one process DevFeed: [The AI-native SDLC won't be one process]() Original publisher: [Read original article]() Author: Anirudh Ramanathan Published: 2026-09-12T14:00:00Z Content type: opinion Language: en Sources: [The New Stack]() Topics: [AI Bots]() Tags: [agents](), [ai](), [ai-engineering](), [anthropic](), [compliance](), [devops](), [dynatrace](), [github](), [kiro](), [platform-engineering](), [post-contributed](), [sdlc](), [signadot](), [spec-driven-development](), [sponsor-dynatrace](), [sponsor-signadot](), [sponsored](), [sponsored-post-contributed]() ### AI overview The article argues that AI-native software development needs risk- and accountability-based process variants rather than one fixed, spec-driven workflow. It emphasizes deterministic policy enforcement, agent self-checks, human approvals, and auditable records. ### Source excerpt Anthropic recently published its AI-Native SDLC Playbook. Its central claim is that "code is no longer the bottleneck." When agents The post The AI-native SDLC won't be one process appeared first on The New Stack. ## The Gremlin app for Dynatrace: resilience testing and reliability scoring, built on the observability you already trust DevFeed: [The Gremlin app for Dynatrace: resilience testing and reliability scoring, built on the observability you already trust]() Original publisher: [Read original article]() Author: Ryan Detwiller Published: 2026-07-28T00:00:00Z Content type: article Language: en Sources: [Gremlin Blog]() Topics: [Resilience](), [dynatrace](), [observability](), [Instrumentation](), [distributed-systems]() Tags: [announcements](), [distributed-systems](), [dynatrace](), [engineering](), [gremlin](), [incident](), [instrumentation](), [metrics](), [observability](), [real-time](), [resilience](), [safety](), [systems](), [testing](), [uptime]() ### AI overview The Gremlin app for Dynatrace adds resilience testing and reliability scoring to Dynatrace workflows. Teams can run reliability tests, observe their impact in real time, and track service-level reliability scores using existing Dynatrace metrics, alerts, instrumentation, and health checks. ### Source excerpt With the Gremlin app for Dyantrace, you get resilience testing and reliability scoring built on the observability you already trust. ## Improve Kubernetes reliability faster with Gremlin and Dynatrace DevFeed: [Improve Kubernetes reliability faster with Gremlin and Dynatrace]() Original publisher: [Read original article]() Author: Gavin Cahill Published: 2025-11-10T00:00:00Z Content type: article Language: en Sources: [Gremlin Blog]() Topics: [Kubernetes](), [dynatrace](), [observability](), [Chaos Engineering](), [ai observability]() Tags: [ai](), [announcements](), [cloud-native](), [dynatrace](), [gremlin](), [integration](), [kubernetes](), [observability](), [testing]() ### AI overview The article presents a strategic integration between Gremlin and Dynatrace that automatically discovers Kubernetes services configured in Dynatrace, making fault-injection testing faster to set up. It explains how health checks use observability metrics such as error rates and latency to evaluate experiments, validate monitoring and alerting, and improve reliability across cloud-native architectures. ### Source excerpt It's easier than ever to start testing Kubernetes with Dynatrace and Gremlin. The new strategic integration automatically discovers objects to make testing set up simple and fast. ## Snyk AppRisk Pro: A holistic approach to application risk management DevFeed: [Snyk AppRisk Pro: A holistic approach to application risk management]() Original publisher: [Read original article]() Author: Daniel Berman Published: 2024-05-01T12:55:00Z Content type: release Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [snyk](), [snyk-apprisk](), [Application Security](), [Security](), [Business Security](), [data analytics](), [Architecture & Design](), [developer-productivity](), [Development](), [dynatrace](), [Backstage](), [API]() Tags: [acquisition](), [analytics](), [api](), [application-security](), [aspm](), [backstage](), [blog](), [convert-paid](), [developer-productivity](), [development](), [devops](), [dynatrace](), [enablement](), [executive](), [gitguardian](), [measurement](), [observability](), [pmm](), [reporting](), [security](), [snyk](), [snyk-apprisk]() ### AI overview Snyk announces Snyk AppRisk Pro, an application security posture management offering for managing and scaling application security programs. It combines application visibility and discovery, security coverage management, and risk-based prioritization with runtime intelligence, developer-context integrations, extended security coverage, and application analytics for tracking program performance and risk. ### Source excerpt Find out how Snyk AppRisk Pro, our application security posture management (ASPM) solution, is designed to empower your application risk management programs. ## 3 tips from Snyk and Dynatrace's AI security experts DevFeed: [3 tips from Snyk and Dynatrace's AI security experts]() Original publisher: [Read original article]() Author: Sarah Conway Published: 2024-01-22T06:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Securing AI](), [ai-governance](), [dynatrace](), [Generative AI](), [Security & Privacy](), [AI Development]() Tags: [ai](), [ai-governance](), [ai-security](), [application-security](), [awareness](), [blog](), [development](), [devops](), [dynatrace](), [executive](), [generative-ai](), [governance](), [megawatt](), [security](), [security-privacy](), [snyk](), [snyk-platform]() ### AI overview This article recaps a Snyk and Dynatrace fireside chat about generative AI security. It examines AI's effects on software development and business application security, emphasizing cross-team governance, careful testing and implementation, and sustained security attention throughout development. ### Source excerpt Learn more about generative AI security in this recap from our recent fireside chat, featuring security and privacy experts from Snyk and Dynatrace.