Tag: devops automation
7 Proven Benefits of DevOps Implementation in Modern Software Development
Albert Hilton | | CI/CD, containerization, continuous delivery, continuous integration, devops automation, DevOps benefits, devops best practices, DevOps collaboration, DevOps cost savings, devops culture, DevOps efficiency, devops implementation, DevOps Innovation, DevOps reliability, DevOps scalability, docker, enterprise devops, infrastructure as code, kubernetes, modern software developmentDiscover the top 7 proven benefits of DevOps implementation in modern software development, from faster delivery and automation to scalability, collaboration, and cost efficiency—helping teams innovate and stay ahead in today’s competitive ...
A Modern Approach to Multi-Signal Optimization
Nikhil Kurup | | application performance monitoring, ArgoCD, CI/CD observability, cloud cost optimization, cloud operations, cloud waste reduction, cloud-native operations, CloudNativeCon Atlanta, datadog, devops automation, grafana, incident response, KubeCon 2025, Kubernetes monitoring, metric classification, MTTR reduction, multi-signal optimization, observability, p99 latency, pod CPU metrics, predictive monitoring, proactive observability, Prometheus, root cause analysis, signal correlation, signal hierarchy, SRE best practices, telemetry correlationHow multi-signal optimization and metric classification help DevOps and turn telemetry chaos into actionable intelligence ...
Claude Introduces Agent Skills for Custom AI Workflows
Tom Smith | | Agent Skills, agentic development, AI agents, AI automation, AI for developers, AI for DevOps teams, AI workflows, Anthropic Agent Skills, Anthropic AI tools, Anthropic Claude, CI/CD pipelines, Claude AI update, Claude API, Claude Code, Claude Code Execution Tool, Claude marketplace, Claude planning, Claude SDK, Claude Skills, Claude web app, DevOps AI, devops automation, infrastructure automation, Intent-Driven Development, reusable AI skillsAnthropic introduces Agent Skills for Claude — a new system that packages instructions, scripts, and resources into reusable folders across Claude’s web app, API, and Claude Code. Skills make AI assistants composable, ...
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 ...
Atlassian Makes AI Coding Agent Generally Available
Mike Vizard | | AI code review, AI coding agent, AI DevOps tools, AI for software development, AI in CI/CD, AI project planning, AI software orchestration, Anthropic MCP, Atlassian AI, Atlassian Compass, Atlassian Team 25, devops automation, DX engineering metrics, Jira integration, Model Context ProtocolAtlassian launches Rovo Dev, an AI coding agent for writing, reviewing, and planning code, bundled with Bitbucket, Compass, and DX in the new Software Collection ...
Gemini CLI Extensions Bring Customization to the Command Line
Tom Smith | | AI command-line tool, AI for developers, AI-powered CLI, CI/CD Automation, command-line AI integrations, developer productivity tools, devops, devops automation, Google AI developer tools, MCP, Model Context Protocol, software development toolsGoogle’s Gemini CLI extensions framework enables developers to integrate external tools like Figma, Stripe, Postman, and Dynatrace directly within the terminal. Built on the Model Context Protocol (MCP), the system reduces context ...
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 ...
Shortcut Adds AI Agent to Orchestrate Management of Software Development Projects
Mike Vizard | | AI agents for software development, AI in project tracking, AI project management, AI-powered product management, devops automation, Jira alternative, natural language to project plans, software engineering productivity, workflow orchestrationShortcut this week added an artificial intelligence (AI) agent that is capable of orchestrating the planning, tracking and coordination of software projects. Company CEO Kurt Schrader said the Korey agent takes ideas ...
env zero Revamps Infrastructure Automation Platform for AI Era
Mike Vizard | | AI agents, cloud compliance, Cloud Governance Platform, Cloud Security, CloudFormation, devops automation, IaC, infrastructure as code, infrastructure automation, kubernetes, MCP, Model Context Protocol, policy as code, Static Code Analyzer Agent, TerragruntEnv Zero (formerly env0) has revamped its Cloud Governance Platform with AI and MCP support, including a new Static Code Analyzer Agent to streamline IaC governance, compliance, and security across tools like ...
Harness Extends Scope and Reach of AI Platform for Automating DevOps Workflows
Mike Vizard | | AI for DevOps, AI in software delivery, AI observability integration, AI rollback, Architect Mode DevOps, autonomous code maintenance, devops automation, internal developer portal AI, release orchestration AIHarness today previewed two additional modules for its artificial intelligence (AI) platform for DevOps that automate code maintenance and automatically rollback a deployment whenever an issue is detected. Additionally, Harness is adding ...
Is the Future of DevOps DaaS?
Alexander Williams | | AI-Driven DevOps, CI/CD pipelines, DaaS, DaaS adoption, DaaS buyer profiles, devops automation, devops culture, DevOps economics, DevOps engineers future, DevOps future trends, DevOps governance, DevOps integration challenges, DevOps outsourcing, DevOps vs DaaS, devops-as-a-service, enterprise DevOps strategy, hybrid DaaS, managed DevOps, platform engineering, vendor lock-in DevOpsDevOps as a service (DaaS) is emerging as the next big shift in how organizations build, deploy and maintain their software pipelines. What started as do-it-yourself automation with Jenkins scripts and self-hosted ...
How Engineers are Automating More with Less: Trends in DevOps Tooling
Durojaye Olusegun | | AI in DevOps, anomaly detection, ArgoCD, autonomous operations, CI/CD evolution, CloudRay, composable workflows, cost-conscious automation, Dagger, developer experience, devops automation, edge automation, Flux, GitHub Actions, GitLab DevSecOps survey, GitOps automation, infrastructure as code, low-code automation, modular pipelines, no-code DevOps, observability, platform consolidation, serverless workflows, Temporal, test automation, toolchain consolidationDevOps automation is shifting from complex, monolithic pipelines to lean, modular, AI-enhanced workflows—driving efficiency, cost savings, and better developer experience ...
