Why Enterprise AI Infrastructure Is Becoming a DevOps Problem
Most enterprise AI projects start with retrieval. You connect Jira, Confluence, SharePoint, and Slack. Maybe a few internal databases nobody has touched in five years. You tune embeddings, optimize chunking, wire up a vector database, and convince yourself you’ve built an AI-powered knowledge system. Then the model server crashes. And suddenly, you discover the uncomfortable […]
The Automation Layer Wants to Own Enterprise AI
Organizations want AI systems capable of prioritizing alerts, routing workflows, coordinating across applications, initiating remediation steps, summarizing operational data and adapting dynamically based on changing context. The system is no longer following a rigid set of instructions. It is participating in operational decision-making. That changes the operational risk profile dramatically. When deterministic automation fails, the blast radius is usually constrained. Probabilistic systems introduce a completely different level of complexity because behavior can evolve dynamically during runtime.
The Five Biggest Mistakes Organizations Make When Implementing SRE
From cargo-culting Google’s playbook to rushing AI-powered observability into production before the fundamentals are in place, here’s where SRE transformations quietly go wrong, and how to course-correct.
Arm Adds Free Toolkit to Analyze AI Agent Performance
Arm this week made available a free toolkit for analyzing agentic artificial intelligence (AI) workloads as they are being developed by DevOps and platform engineering teams. Earlier this year, Arm unveiled a 3nm processor based on its Neoverse V3 architecture that is specifically designed for AI workloads. The Arm Performix toolkit provides system-wide analysis across […]
How to Manage Operations in DevOps Using Modern Technology
How modern DevOps teams manage operations using automation, observability, AIOps and self-service to reduce toil and improve reliability.
Lightrun: IT is in the Dark Over Coding Assistant Runtime Visibility
Software runs, but sometimes it doesn’t… and that’s often down to a lack of runtime visibility in relation to platform engineering teams being able to trust coding assistants and AI-powered site reliability engineering (SRE) services.
Harness Extends CD Platform to Address AI Coding Challenges
Harness expands its CD platform to tackle the “AI code explosion” with automated rollbacks, snowflake support, and warehouse-native feature management.
Policy as Code for Cost Control, Not Just Compliance
Policy as code can do more than enforce compliance. Learn how platform teams use guardrails, tagging and sizing policies to prevent cloud cost waste early.
Zero Downtime Multicloud Migrations for Observability Control Planes
Most platform teams aren’t deciding whether they’ll run across multiple clouds. They already are, or they’ll be soon. The real question is how to migrate critical systems without turning on-call into a guessing game. Observability raises the stakes more than almost any other domain. An observability control plane isn’t just a dashboard. It’s the operational […]
Microsoft Azure Skills Plugin Gives AI Coding Agents a Playbook for Cloud Deployment
Microsoft’s new Azure Skills Plugin closes the gap between AI-written code and production deployments by packaging expert Azure knowledge as executable skills, backed by MCP servers for real infrastructure actions and AI workflows—bringing guardrails, consistency, and speed to DevOps and platform teams.
On-Call Rotation Best Practices: Reducing Burnout and Improving Response
Practical SRE on‑call guide covering rotation models, alert hygiene, runbooks, metrics, compensation, shadowing, and automation to cut pager load and prevent engineer burnout.
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.
The Great Infrastructure Migration: Why Teams are Moving From Manual Provisioning to Autonomous Platforms
Autonomous infrastructure platforms replace manual provisioning, accelerating delivery, improving compliance and freeing platform teams to focus on strategic work.
GitOps Implementation at Enterprise Scale — Moving Beyond Traditional CI/CD
Traditional CI/CD pipelines hit scaling limits. Learn how GitOps improves deployment reliability, security, and DORA metrics—and what it takes to migrate successfully.
SRE vs. DevOps is a False Choice: Here’s the Unified Model That Works
DevOps and site reliability engineering (SRE) are complementary strategies that enhance both speed and reliability in software development. While DevOps focuses on collaboration and automation to break down silos between development and operations, SRE emphasizes engineering reliability through metrics and accountability. By integrating both approaches, organizations can foster high-quality software delivery that meets reliability standards, streamline incident response, and utilize data-driven decision-making to maintain system performance.
Best of 2025: DevOps Evolution: From Movement to Platform Engineering in the AI Era
DevOps isn’t dying – it’s evolving. That’s the perspective of Andi Grabner, who recently transitioned from DevOps Activist to Platform Engineering Advocate at Dynatrace. “The idea of DevOps is transforming. I agree that it has fulfilled its purpose, but the purpose is not over. It just shifts,” says Grabner. After nearly 20 years of DevOps, […]
Proactive Problem-Solving: Observability Trends Every Leader Should Know
In today’s rapidly evolving digital landscape, reactive IT management is no longer sustainable. Business leaders are increasingly recognizing that proactive observability has become necessary to maintain a competitive advantage and ensure operational excellence and customer satisfaction. Organizations that embrace advanced observability strategies can avoid future problems associated with reactive firefighting. The Strategic Shift: From Reactive to Predictive The paradigm shift in observability represents a fundamental change in how organizations monitor system health and ensure business continuity. Modern observability platforms such […]
re:Invent Proves It: DevOps Isn’t Dead, Cloud Native Isn’t Fading, and Platform Engineering Isn’t a Fad
What a difference two or three days make. When I first landed in Las Vegas for re:Invent and saw the keynote previews, it looked like AWS was putting all its chips on one square: Agentic AI. Every sign, every teaser, every whisper pointed in the same direction. And yes, after the keynotes, that impression held […]
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.
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.
Harness Adds Vibecoding Tool to Migrate Databases Within DevOps Workflows
Harness adds an AI-powered vibecoding tool to automate database migrations via natural language, integrating seamlessly with its CI/CD DevOps platform.
Whose Ops is it Anyway? How IDPs, AI and Security are Evolving Developer Culture
It 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 today, the value of faster releases, tighter feedback loops, and closer collaboration between development and operations is obvious. The challenge is no longer […]
Is the Future of DevOps DaaS?
DevOps 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 Git servers has now become an increasingly complex ecosystem of tooling, governance and culture. The question now is whether companies really need to […]