Tag: agentic AI
MCP-Powered Agentic AI in DevOps: Building Secure, Scalable Multi-Agent Pipelines for Autonomous SRE and Observability
Abhijit Ubale | | agentic AI, AI-Driven DevOps, autonomous intelligence, cloud-native infrastructure, devops evolution, MCP, Model Context Protocol, multi-agent systems, resilience and efficiency, site reliability engineeringDiscover how model context protocol (MCP) powered agentic AI is transforming DevOps by enhancing resilience and efficiency in cloud-native environments. Learn about the challenges, benefits, and real-world applications of autonomous multi-agent systems ...
Bot-Driven Development: Redefining DevOps Workflow
Oluwakorede Akinsete | | agentic AI, AI collaboration, AI in DevOps, AI-powered tools, automation challenges, AWS CodeGuru, bot-driven development, CI/CD pipeline, continuous integration, devops automation, DevOps productivity tools, GitHub Copilot, hybrid model, intelligent agents, operational efficiency, Security in Devops, software lifecycle, workflow reinventionExplore the future of DevOps with bot-driven development (BotDD) that integrates AI-powered tools. Learn how intelligent agents enhance automation, testing, and project management, transforming the software lifecycle ...
Harness Adds AI Agent to Help Investigate Incidents
Harness today added an artificial intelligence (AI) agent to its portfolio that has been specifically trained to help DevOps teams investigate events that occurred prior to an incident. Tina Huang, vice president ...
GitLab Delivers on AI Agents Promise to Automate DevOps Workflows
GitLab today made generally available an agentic artificial intelligence (AI) platform that automates software engineering tasks ranging from planning to application security. Coinciding with the release of version 18.8 of the core ...
Predict 2026: Why AI Will Force DevOps to Reinvent Itself
Alan Shimel | | agentic AI, AI in DevOps, AI-Driven Development, Analyst Insights, CI/CD Automation, cloud infrastructure, data governance, DevOps Dozen Awards, DevOps transformation, devsecops, Innovation in Software Engineering., Operational Strategies, Predict 2026, SaaS Business Models, security integration, software development, technology trendsJoin us at Predict 2026 to explore how AI is transforming the DevOps landscape, enhancing software delivery, and redefining operational strategies ...
Best of 2025: GitHub Copilot Evolves: Agent Mode and Multi-Model Support Transform DevOps Workflows
GitHub Copilot adds Agent Mode with MCP support to all VS Code users, bringing agentic capabilities and multi-model choice that will revolutionize DevOps workflows ...
Best of 2025: OpenAI Codex: Transforming Software Development with AI Agents
OpenAI has launched Codex, a cloud-based software engineering agent poised to revolutionize developers' approaches to coding tasks. Powered by codex-1, a specialized version of OpenAI's o3 model, Codex can work on multiple ...
Dynatrace Delivers on Promise to Observe AI Coding Tools from Google
Mike Vizard | | Agent-to-Agent A2A protocol, agentic AI, AI agents, AI Governance, AI telemetry, AI workflow observability, AIOps, DevOps observability, enterprise AI monitoring, Gemini CLI Extension, Gemini Enterprise, Linux Foundation, Model Context Protocol MCP, observability platform, root cause analysis, software development lifecycle SDLCDynatrace announced new integrations with Google Cloud Gemini Enterprise and Gemini CLI, using agentic AI, A2A protocol, and MCP servers to enhance observability, root-cause analysis, and DevOps governance across AI-driven workflows ...
Why Your AI Agent Strategy is Failing (and How to Fix It): The Microservices Playbook for AI Agents
Lokhesh Ujhoodha | | agentic AI, AI agent transparency, AI agent trust, AI agents, AI architecture, AI Governance, AI infrastructure, AI microservices, AI observability, AI ROI, autonomous agents, CIO AI strategy, Enterprise AI, enterprise AI strategy, LLM adoption, microservices architecture, monolithic AI agentsDespite billions in AI investment and countless vendor promises, most enterprises are still treating AI agents like glorified copilots rather than autonomous systems. After working with numerous enterprise customers implementing AI agents across various ...
New Relic AWS Integrations Go Deep on Root Cause Observability Analysis
Adrian Bridgwater | | agentic AI, cloud observability, devops, incident response, MELT, mttr, observability, security posture management, SRE, system monitoringNew Relic expands its observability platform with deep AWS integrations to speed incident resolution and support AI-driven DevOps workflows ...
Multi-Agent System Promises Faster Bug Detection and Resolution
IT outages cost companies over $14,000 per minute. IBM Research's Project ALICE uses multiple AI agents to help engineers find bugs faster and restore systems. Software bugs are expensive. When a critical ...
Harness Allies with AWS to Integrate AI Agents for Software Engineering
Harness this week extended its alliance with Amazon Web Services (AWS) to integrate their respective artificial intelligence (AI) agents to automate DevOps workflows. Announced at the AWS re:Invent 2025 conference, Harness is ...
