Context Engineering: How Dev Teams 10x Productivity with AI
Context engineering isn't just an AI buzzword. It's how high-performing dev teams are transforming productivity at scale.
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The latest News and Information on DevOps, CI/CD, Automation and related technologies.
3 Tips for a Smoother Software Deployment Process
Just because software releases have become more frequent doesn't necessarily mean they're always smooth. Many teams can push changes on schedule and still lose time to noisy pipelines, brittle handoffs, and production checks that start only after users complain. The result is work that feels fast until it gets slowed down by issues.
Why test data management is becoming increasingly important to senior IT leaders
We recently sat down with James Phillips, Senior IT Leader, to talk about test data management (TDM) and the growing attention it’s getting from the senior IT leaders. It’s been prompted by the recognition that provisioning test and development environments with realistic production-like data improves the quality of code being developed, reduces errors, and deliver new features to customers faster.
Automating Infrastructure as Code changes with an AI agent
The infrastructure management landscape is undergoing a fundamental transformation. Infrastructure as Code has already revolutionized how we provision and manage cloud resources by treating infrastructure as software. The next evolutionary step involves intelligent automation that can understand, adapt, and optimize these configurations independently.
Everything you need to know about ITIL 5, AI and incident management
ITIL 5 launched in January 2026, and for the first time in the framework's 40-year history, AI governance is front and center. If you're running incident management, on-call rotations, or building operational tooling, this matters: the gap between AI adoption and AI governance is about to become a compliance and operational risk issue. I’m not usually a big ITIL fan, but this guidance has some genuinely useful framing and questions.
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What Do You Use for AI Agent Infrastructure? The Complete Guide to Building Production-Ready Agent Systems
The question "what do you use for AI agent infrastructure?" has become one of the most searched queries in the DevOps and platform engineering space. And for good reason: the global AI agent market is projected to grow from $5.1 billion in 2024 to $47.1 billion by 2030, representing a compound annual growth rate of nearly 45%. With 85% of enterprises expected to implement AI agents by the end of 2025, getting the infrastructure right has never been more critical.
Track OpenAI Spend: Explain Where Your OpenAI Budget Goes
The inevitable happened. A while back, Gartner projected that in 2026, 30–50% of all new SaaS product features would use LLM inference. That meant OpenAI-style costs would become a standard part of SaaS COGS. Today, OpenAI has become one of the most operationally significant line items for SaaS companies. But for many teams, this creates an uncomfortable gap. Engineering sees OpenAI as a fast path to innovation.
Resolve's Zero Ticket Minute - Ep. 8 #itautomation #agenticai #aiautomation
Proof of concept season is over. In Zero Ticket Minute Ep. 8, Ian Coppock explains why AI is now judged by results, not demos. If it’s not reducing downtime, cutting costs, or stopping 2 a.m. pages, it’s not delivering value. The shift is here. From experimentation to execution.
How to Mature Your FinOps Capabilities Without Rushing Optimization
In this episode of the FinOps on Azure Podcast, Nicole Boyd breaks down how the FinOps maturity model works in practice, why many teams struggle in the early stages, and what needs to be in place before optimisation can deliver real value. The conversation covers measurement, data trust, ownership, and why FinOps is an operating model not a one-time project.
