Tag: devops automation
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 ...
System Initiative Adds AI Agents to Infrastructure Automation Platform
Mike Vizard | | Adam Jacob, AI agents, AI in DevOps, AI-powered DevOps, autonomous AI, cloud automation, compliance guardrails, devops automation, DevOps workflows, digital twin, infrastructure as code, infrastructure automation, infrastructure misconfigurations, infrastructure optimization, infrastructure resilience, IT infrastructure management, IT operations, knowledge graph, policy checks, System InitiativeSystem Initiative introduces autonomous AI agents to its infrastructure automation platform, using digital twins to help DevOps teams safely optimize and manage IT environments ...
Harness Delivers on AI Promise for DevOps
Mike Vizard | | AI agents, cloud cost optimization, devops automation, DevOps Innovation, Harness AI, knowledge graph, pipelines, sdlc, software delivery, testing automationHarness launches an AI-powered DevOps platform that uses knowledge graph–driven agents to automate pipelines, testing and operations across the software delivery lifecycle ...
Context Engineering is the Key to Unlocking AI Agents in DevOps
Harshil Shah | | AI agents, AI coding tools, AI developer tools, AI IDEs, AI in DevOps, AI software development, AI workflows, AI-Driven DevOps, AI-powered development, context engineering, context provisioning, devops automation, intelligent agents, MCP protocol, SDLC AIAI agents can code, test, and deploy—but only with the right context. Learn how context engineering unlocks DevOps-ready AI for the full SDLC ...
Keeping Humans in the Loop: Why Human Oversight Still Matters in an AI-Driven DevOps Future
Alan Shimel | | agentic AI, AI DevOps risks, AI in software delivery, AI oversight, CI/CD Automation, devops automation, DevOps guardrails, human-AI collaboration, human-in-the-loop, responsible AIAI agents can now generate, test, deploy, and monitor code — but removing humans from the loop is dangerous. Learn why oversight, guardrails, and collaboration are essential to the future of DevOps ...
AI is Transforming DevOps: How Intelligent Automation is Revolutionizing Infrastructure Management
Deepak Gupta | | AI DevOps, AI-powered DevOps tools, automated testing tools, continuous integration AI, devops automation, intelligent infrastructure managementThe specific ways AI is reshaping DevOps practices, starting with the foundation and building toward more advanced applications. ...
How DevOps Services Improve Software Delivery and Quality
Vinay Pasilkar | | CI/CD pipeline, continuous deployment, continuous integration, devops automation, DevOps services, software delivery, software qualityIf you use DevOps services, you will see faster releases and better code. Start your DevOps journey today and watch your software improve. ...
Start Automating Now
A bit of feedback I received from last week’s post is that I didn’t provide any background, I just jumped right in with examples. So let’s take a step back and talk ...
Building Amazing Apps, Part 2: Optimizing the Back End
Javier Garza | | apm, app development, application design, back end, cdn, content delivery network, devops automationThis is part two of a series of three articles on building and delivering amazing apps at the edge. To read part one, click here. There are millions of apps available today, ...
Mphasis Acquires Stelligent, the DevOps Automation Services Specialist in the Amazon Web Services (AWS) Ecosystem
DevOps.com | | Amazon Web Services, AWS, containerization, devops automation, Mphasis, rapid automation, SaaS, StelligentMphasis Stelligent boosts Mphasis’ end-to-end capabilities in public cloud with a focus on DevOps and Containerization; further augmenting its managed services capabilities Mphasis Stelligent combines best-in-class DevOps and DevSecOps solutions on Amazon ...
The Past, Present and Future of DevOps Infrastructure
Infrastructure automation enables organizations to set up operating frameworks that allow smooth functionality with enhanced usage, minimal scope for error and faster deployment of code. The process of infrastructure automation eases development ...
Datadog Monitoring and JIRA Integration
Operations uses monitoring to provide early detection of issues with systems/servers/networks. Among those monitoring options is Datadog, a software-as-a-service (SaaS) cloud service/application monitoring tool that allows Operations to be notified of issues ...
