Tag: AI in DevOps
From Cloud to Cognitive Infrastructure: How AI is Redefining the Next Frontier of SRE
Akash Thakur | | AI in DevOps, AI infrastructure, AI reliability, AI workloads, AI-driven SRE, cloud observability, cloud-native infrastructure, devops, GPU clusters, GPU utilization, hybrid AI systems, hybrid cloud, hybrid computing, intelligent operations, multi-cloud operations, site reliability engineering, SRE evolutionAs organizations embrace artificial intelligence (AI) workloads alongside traditional cloud systems, site reliability engineering (SRE) must evolve to manage an entirely new class of infrastructure — intelligent, hybrid and graphics processing unit ...
Harness Adds Vibecoding Tool to Migrate Databases Within DevOps Workflows
Mike Vizard | | AI in DevOps, AI-powered database migration, backward compatibility, CI/CD, compliance automation, database as code, database devops, database modernization, devops automation, Harness, Harness AI platform, Model Context Protocol Server, natural language interface, Oracle to Postgres migration, platform engineering, schema migration, Software Delivery Knowledge Graph, SQL automation, Stephen Atwell, vibecodingHarness adds an AI-powered vibecoding tool to automate database migrations via natural language, integrating seamlessly with its CI/CD DevOps platform ...
Before You Go Agentic: Top Guardrails to Safely Deploy AI Agents in Observability
Pankaj Thakkar | | agentic AI, AI audit trails, AI cost management, AI deployment controls, AI Governance, AI guardrails, AI in DevOps, AI observability safety, AI operations, AI policy validation, AI rate limiting, autonomous agents, data privacy, human-in-the-loop, KubeCon 2025, observability, OpenTelemetry, role-based access control, self-healing infrastructure, zero-trustObservability platforms are evolving from passive monitors to active participants. Agentic AI promises a self-healing infrastructure that detects anomalies and fixes issues before users notice, reducing resolution time from hours to minutes ...
The Breakneck Future of Codegen: Why AI SWE Must Be Matched with AI SRE
Anish Agarwal | | AI automation, AI code generation, AI in DevOps, AI infrastructure, AI observability, AI operations, AI reliability, AI SRE, AI-Driven Development, cloud-native systems, code duplication, distributed inference, GitHub Copilot, incident management, parallel reasoning, resilience engineering, site reliability engineering, software reliability, software vulnerabilities, technical debtAI codegen is transforming software development — but as speed and complexity increase, so does fragility. AI for site reliability will need to keep pace to avoid system breakdown and engineer burnout. ...
Grafana Labs Extends AI Capabilities of Observability Platform
Mike Vizard | | Adaptive Profiles, Adaptive Traces, AI for IT operations, AI in DevOps, AI incident management, AI observability, AI-driven observability, AIOps, Bring Your Own Cloud, BYOC, democratizing observability, DoD IL5, Grafana Cloud Knowledge Graph, Grafana ObservabilityCON 2025, incident remediation AI, IT root cause analysis, OpenTelemetry, RCA Workbench, root cause analysis, telemetry data analysisGrafana Labs this week made generally available an artificial intelligence (AI) agent, dubbed Grafana Assistant, for its namesake dashboard in addition to previewing Grafana Assistant Investigations, an AI incident management tool that ...
Whose Ops is it Anyway? How IDPs, AI and Security are Evolving Developer Culture
Olivier de Turckheim | | AI and ML workloads, AI in DevOps, AI infrastructure, AI-driven operations, AIOps, automation in DevOps, continuous delivery, Cycloid plug-ins, developer experience, devops culture, devops evolution, DevOps scalability, DevOps security integration, DevOps transformation, devsecops, digital transformation DevOps, gitops, IDP, intelligent automation, internal developer platforms, MLOps, modern DevOps strategy, operational resilience, platform engineering, platform governance, secure CI/CDIt was only a few years ago that perhaps the biggest hurdle for DevOps advocates was convincing leadership that it was worth the investment. That conversation has since shifted. In most organisations ...
PagerDuty Adds Suite of AI Agents to IT Management Platform
Mike Vizard | | AI automation in IT operations, AI for DevOps teams, AI in DevOps, AI site reliability engineer, AI workflow automation, AI-driven reliability engineering, AI-powered runbooks, AIOps platforms, DevOps productivity, IT incident management, IT operations automation, Model Context Protocol MCP, reducing IT burnoutPagerDuty’s new AI agents — Insights, SRE, Scribe and Shift — aim to automate IT operations, reduce burnout, and transform DevOps workflows at scale ...
How Can the Usage of AI Help Boost DevOps Pipelines
Joydip Kanjilal | | AI for testing automation, AI in CI/CD, AI in DevOps, AI in software development, AI-based DevOps tools, AI-driven CI/CD pipelines, AI-driven software delivery, AI-powered CI/CD, automated security testing, continuous deployment, continuous integration, devops automation, devsecops, Future of DevOps, intelligent automation, intelligent DevOps pipelines, machine learning in DevOps, predictive DevOps, Self-Healing Pipelines, smart deploymentsAI is revolutionizing DevOps by making CI/CD pipelines smarter, self-learning, and more efficient — enabling faster, secure, and automated software delivery ...
OpenAI’s GPT-5-Codex: A Smarter Approach to Enterprise Development
Tom Smith | | AI code review, AI in DevOps, complex debugging AI, enterprise AI coding, enterprise software development, GPT-5 for developers, GPT-5-Codex, IDE Integration, long-running tasks AI, OpenAI CodexOpenAI’s GPT-5-Codex is built for real-world enterprise software engineering, handling long-running tasks, complex refactoring, and intelligent code reviews with strong security and IDE integration ...
CodeRabbit Adds CLI Support to Code Review Platform Based on AI
Mike Vizard | | AI code review, AI coding tools, AI in DevOps, AI trust layer, CLI support, code dependencies, code graph analysis, custom pre-merge checks, developer productivity, DevOps workflows, Git repositories, MCP client, Model Context Protocol, open source code review, secure code review, software quality, unit test generationCodeRabbit expands its AI-powered code review platform with CLI support, auto unit test generation, custom pre-merge checks, and an MCP client. Backed by $60M in new funding, CodeRabbit helps developers catch routine ...
Perforce Adds Small Language Model to Create Synthetic Data for App Testing
Mike Vizard | | AI in DevOps, air-gapped IT environments, compliance testing AI, data masking automation, DevOps AI, secure application testing, small language model (SLM), synthetic data testingPerforce has added AI to its Delphix platform, enabling DevOps teams to use small language models (SLMs) for secure synthetic data testing—even in air-gapped, regulated environments. The update automates data masking, supports ...
Nominations Are Open: DevOps Dozen 2025
Alan Shimel | | agentic AI, AI in DevOps, ci/cd tools, DevOps awards, DevOps community, devops dozen, DevOps evangelist, DevOps leaders, DevOps nominations, devops tools, DevOps vendors, devsecops, generative AI, golden paths, internal developer platforms, observability solution, platform engineering, Predict 2026, Software Supply Chain Security, SRE, TechStrongThe DevOps Dozen 2025 awards are open. Celebrate community leaders and tools shaping DevOps, from AI to platform engineering and supply chain security ...
