Tag: devops
The Agent Failure Your Approval Gate Can’t Catch
An agent that does the wrong thing leaves evidence — a bad diff, a malformed record, a customer complaint. An agent that does nothing and reports success leaves a green checkmark, and ...
OllyGarden Extends AI Agent to Identify Instrumentation Gaps
Mike Vizard | | AI agents, AI observability, AIOps, Cloud Native Computing Foundation, CNCF, data quality, devops, devops automation, Distributed Tracing, logs, metrics, Minimum Viable Instrumentation, MVI, observability, observability automation, observability costs, OllyGarden, OpenTelemetry, OpenTelemetry Instrumentation, Rose AI, telemetry costs, Telemetry Optimization, Telemetry ReductionOllyGarden expands its Rose AI agent with Minimum Viable Instrumentation to identify observability gaps, optimize OpenTelemetry data and reduce telemetry costs ...
New Relic Debuts Command-Line Observability Tool for Developers and AI Agents
New Relic has unveiled Ground Truth CLI, a command-line tool that enables software developers and AI agents to analyze system performance and verify whether technical issues have been resolved without needing to ...
Aditi Consulting Achieves Anthropic Select Tier After Putting Claude Into Production Across Its Business and Client Environments
The milestone follows Aditi’s broader effort to reshape its business, client delivery, and engineering workforce. BELLEVUE, Wash., Oct. 6, 2026 — Aditi Consulting has achieved Select Tier status in Anthropic’s Claude Partner ...
Harness Acquires Augment Code Assets to Expand Reach into AI Coding
Harness today added an artificial intelligence (AI) coding offering to its portfolio after revealing it acquired select assets from Augment Code. The Harness Cosmos Software Factory is based on Cosmos, a set ...
Quality Debt Is the New Technical Debt
For years, we talked about technical debt as something that quietly piles up while teams ship fast and skip cleanup. You take a shortcut now, but you pay for it later, usually ...
Coding Agents Broke Git’s Scaling Math. GitHub Is Rebuilding to Keep Up
Tom Smith | | agentic AI, AI coding agents, automation, Azure Blob Storage, CI/CD, code review, developer productivity, devops, GIT, Git Infrastructure, github, GitHub Actions, platform engineering, Repository Scaling, software development, software engineering, Trunk-Based DevelopmentGitHub is rebuilding its Git infrastructure as AI coding agents drive billions of commits, promising up to 35x faster writes while exposing new DevOps bottlenecks ...
Three Truths About AI SRE
The current enthusiasm for AI in Site Reliability Engineering (AI SRE) is well-founded. We are seeing incredible advancements in agents that can ingest alerts, parse logs, and propose rapid solutions to outages ...
Gremlin Launches Foresight AI to Proactively Fix Reliability Risks
The pioneers of Chaos Engineering built Foresight AI on top of a decade of real-world data around how systems fail and recover. Gremlin Foresight AI identifies and fixes reliability concerns before they ...
DevOps Has Always Been Hard to Define. Does a Standard Help?
Alan Shimel | | agentic AI, AI agents, AI Governance, automation, CI/CD, devops, DevOps governance, devops institute, devops maturity, DevOps practices, DevOps standard, DORA, ITIL 5, observability, OWASP agentic AI, PEOPLECERT, platform engineering, software delivery, software engineeringThe new DevOps Standard deserves a serious reading. Its lasting value will depend on whether it helps organizations apply shared principles as people and agents take on different responsibilities ...
Federated Query at Petabyte Scale: A Deployment Pattern for a Governed AI-Agent Data Layer
Pavan Gatadi | | AI agents, AI Governance, CI/CD, data architecture, data governance, data products, devops, distributed SQL, enterprise data, enterprise GenAI, federated query, HIPAA, kubernetes, MCP, observability, regulated data, role-based access control, semantic layer, Starburst, Terraform, TrinoA federated query architecture can reduce data duplication and latency while creating a governed, auditable data layer that enterprise AI agents can safely access ...
Getting to Reliable AI-Driven Development
To truly transform software delivery with AI, organizations must embrace a spec-driven approach. By grounding AI in clear specifications, this approach prevents AI from generating hallucinations while optimizing token costs by 8x–12x ...
