Five Great DevOps Job Opportunities
Latest DevOps Jobs report highlights opportunities at Lenovo, IBM, Yale and Weights & Measures. Find out more here.
Can QA Reignite its Purpose in the Agentic Code Generation Era?
AI-generated code is accelerating development but it exposes a deeper issue. Why deterministic infrastructure is becoming the foundation of agentic QA.
Unlocking Observability by Design With Inferred Schemas
Observability systems generate massive telemetry, but schema drift creates friction. Learn how inferred schemas and OpenTelemetry Weaver restore structure.
Claude Code Remote Control Keeps Your Agent Local and Puts it in Your Pocket
Claude Code Remote Control lets developers run AI coding agents locally while supervising them from any browser or phone. Anthropic’s local-first approach contrasts with cloud agents and reshapes how teams govern AI-driven development.
Cursor Cloud Agents Get Their Own Computers — and 35% of Internal PRs to Prove It
Cursor’s new cloud AI coding agents can build, test, and verify software autonomously using real UI interaction. With 35% of production PRs generated by agents, software delivery is shifting from code authoring to agent orchestration and governance.
The Future of AI in Software Quality: How Autonomous Platforms are Transforming DevOps
Agentic AI is transforming DevOps by embedding autonomous quality checks into CI/CD pipelines, improving code security, coverage and speed.
AWS Just Turned “Deploy to AWS” Into a Five-Word Prompt
AWS Agent Plugins give coding agents the skills to architect, estimate costs, and deploy to AWS. Type “deploy to AWS” and the agent handles the rest.
When DevOps Meets the Cloud: A Real-World Transformation Story
A real-world DevOps and cloud transformation story showing how automation, observability, and cultural change improved reliability and delivery.
What a ‘Good Plan’ Really Means for AI Coding Agents
Explore how AI coding agents are transforming software development. This article discusses the importance of clear objectives, runnable tasks, and continuous validation in planning to ensure that the transition from idea to production is seamless and efficient. Learn how effective planning and clarity are essential for modern application development.
Cline CLI 2.0 Turns Your Terminal Into an AI Agent Control Plane
Cline CLI 2.0 brings full AI coding agents to the terminal with parallel execution, headless CI/CD mode, and ACP editor support. Open source, any model.
MCP-Powered Agentic AI in DevOps: Building Secure, Scalable Multi-Agent Pipelines for Autonomous SRE and Observability
Discover 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.
AWS CodeBuild Webhook Misconfiguration Exposed Admin Access Risk
AWS fixed webhook filter misconfigurations in CodeBuild that could have allowed unauthorized repository access. No customer impact or malicious code found.
DevOps: The Never-Ending Story
A reflective take from Alan on why DevOps endures, adapts, and remains a human-centered practice in an era of platforms and AI.
Patch or Perish: The Brutal Truth About Vulnerability Management in 2025
Vulnerability management in 2025 is overwhelmed by escalating CVEs and costly breaches; organizations must shift from slow, manual patching to continuous, risk-based, AI-powered remediation to stay secure.
What I’m Thankful for in DevOps This Year: Living Through Interesting Times
Alan reflects on a chaotic yet inspiring year in DevOps, highlighting the rise of AI in engineering, the maturation of DevSecOps, the evolution of hybrid work culture, the surge of platform engineering and IDPs, and the continued strength and inclusivity of the DevOps community — while acknowledging the talent crunch, tool sprawl and security theater that still challenge the industry.
How to Build Engineering Teams That Drive Outcomes, not Outputs
Outcome-based engineering teams focus on delivering real customer and business impact, aligning goals, adapting quickly, and collaborating across roles to drive results.
Modular & Shift-Left Observability for Modern DevOps Pipelines
Shift-left observability makes monitoring a modular, built-in part of DevOps—improving reliability, cost efficiency, and visibility across modern cloud-native systems.
The Hidden Cost of “Free” Open Source Infrastructure
When the OpenSSF, PyPI, Rust Foundation, and OpenJS recently declared that “Open Infrastructure Is Not Free,” they highlighted a crisis that affects every organization building modern software. Behind every container image pulled, every vulnerability scan and every automated deployment, there’s a vast web of infrastructure: Package registries, CI/CD services, artifact repositories, security feeds, distribution networks and CDN layers. For decades, this […]
Why AI Integration in DevOps is so Important
AI is transforming DevOps security with real-time threat detection, automated scanning and predictive analytics. Learn how AI strengthens CI/CD pipelines and protects modern software delivery.
Five Great DevOps Job Opportunities
devopsy.kinsta.cloud is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers. Of course, the pool of […]
Survey Sees AI Coding Creating Need for More Software Engineers
A GitLab survey of 3,266 DevSecOps professionals shows AI is boosting code creation but increasing the need for skilled engineers, compliance challenges and human oversight.
DevOps Workflow: The Key Elements and Tools Involved
What does a modern DevOps workflow look like? Click to learn about the essential elements, tools, and practices involved in the effective work process.
Coding Agent Teams: The Next Frontier in AI-Assisted Software Development
Developers are moving beyond single AI coding assistants to teams of specialized agents, boosting speed, scalability, and collaboration in software development.