Tag: AI agents
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 ...
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 ...
How to Move AI SRE Agents From Demo to Production
Andrey Pokhilko | | agentic AI, AI agents, AIOps, incident response, observability, site reliability engineeringAn AI agent that works on an engineer’s laptop can feel like a breakthrough. It can read logs, query observability tools, inspect cloud resources and connect a failed deployment to a bad ...
env zero Previews Control Plane for Agentic DevOps Workflows
Mike Vizard | | agentic AI, AI agents, AI Governance, autonomous remediation, cloud infrastructure, CloudQuery, CMDB, devops, devops automation, env zero, EZ Control, IaC, infrastructure as code, infrastructure drift, kubernetes, MCP, platform engineeringenv zero’s EZ Control introduces an agentic DevOps control plane that detects infrastructure drift, applies policy-driven remediation and keeps automated changes attributable, reversible and auditable ...
Docker Introduces Open Sandbox Kit Spec for AI Agent Permissions
AI agents are getting good at probing the boundaries developers put around them. Their ability to improvise makes them hard to contain. “You ask for something in a very high-level, vague-at-best way ...
Why Plan Review Stopped Working
Mariusz Michalowski | | AI agents, gitops, IaC, infrastructure as code, infrastructure automation, policy as codeThe control that held your infrastructure together was plan review, meaning a person reading a diff and deciding whether to approve it. Not the policy document and not the pipeline configuration. It ...
GitLab Tightens Rate Limits as Coding Agents Drive Demand
GitLab is introducing new rate limits for its cloud-based DevOps platform as growing demand from AI agents and automated development tools increases pressure on its infrastructure. The changes, which begin October 19, ...
Anthropic Adds a Coordinator to Claude Projects for Running AI Work in Parallel
Tom Smith | | agentic AI, AI agents, AI coding agents, AI Development, AI project management, AI workflows, Anthropic, autonomous coding, Claude Code, Claude Projects, cloud development, code review, coding automation, developer productivity, developer tools, devops, Git branches, human-in-the-loop, multi-agent orchestration, parallel development, platform engineering, pull requests, software development, software engineeringAnthropic’s redesigned Claude Projects coordinates parallel Claude Code sessions, delegates work across branches and brings the results back through familiar pull-request review workflows ...
The Three Tiers of Agentic Incident Response: When to Trust AI Autonomy
Neel Shah | | agentic AI, AI agents, AI Governance, AI operations, AIOps, automation guardrails, autonomous remediation, devops, human-in-the-loop, incident management, incident response, mttr, observability, production reliability, Runbooks, site reliability engineering, SREA three-tier model for agentic incident response balances AI automation with human oversight, matching autonomy to risk, reversibility, blast radius and diagnostic confidence ...
Factory Raises $200M as It Builds Agents Across the Software Lifecycle
Jaime Hampton | | AI agents, AI coding, AI Software Engineering, devops, factory, generative AI, software developmentEnterprise coding agent startup Factory announced it has raised $200 million at a $5 billion valuation, more than tripling its valuation from its last funding round five months ago. Founded in 2023, ...
