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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Resolve Webinar: Introducing AgentLab: The Foundation of the Autonomous Service Desk

Most service desks still operate across fragmented systems. A single ticket can touch 4–7 tools, often more, slowing resolution and increasing cost. Copilots suggest. Traditional automation executes fixed paths. Neither closes the loop. AgentLab changes that. In this webinar, we introduce a new model built on agentic AI and orchestration. One where AI agents don’t just assist. They act, adapt, and resolve.

How Criteo handles 23M requests per second (RPS) with HAProxy Runtime API automation

Criteo handles 23 million requests per second (RPS) while maintaining peak performance and minimizing downtime. For most organizations, handling that level of traffic is just a theoretical stress test — a what-if scenario should their infrastructure ever be overwhelmed by an unexpected wave of requests. But for Criteo, 23 million RPS is just another Tuesday.

Google Cloud Storage Pricing: The No BS Guide To GCP Storage Costs [2026]

This straightforward guide will help you understand GCP storage pricing without the jargon. Understanding where your cloud spend goes enables you to pinpoint who, why, and what drives your cloud costs. This visibility supports informed decisions about reducing unnecessary spend or increasing investment in high-return areas.

Rightsizing Nightmares: When Your Cloud Cost Tool Degrades Performance

This is what production teams see happening. A vertical pod autoscaler recommendation gets applied automatically. Resource requests come down a notch across a namespace. The cost dashboard registers a small cost savings win. A few minutes later, health checks start failing. Pods enter crash loops.

DORA Metrics in the AI Era: Why Deployment Isn't Faster

DORA metrics in the AI era reveal a paradox: PR volume is climbing, but deployment frequency is staying flat. In this talk, GitKraken's Director of Product Jeff Schinella breaks down why AI-accelerated code generation is creating a review bottleneck that your DORA metrics can't fully explain on their own. Jeff walks through how PR metrics (cycle time, first response time, code churn, and PR size) serve as the leading indicators behind your DORA data. If your deployment frequency is flat while PR counts go up, the bottleneck isn't your devs. It's your review capacity.

What happens when you delete everything? Three minutes, or thirty hours.

Last year, at the annual conference for an open source framework you've definitely heard of, I walked up to the founder in a room outside the main stage. He was hunched over his laptop, frantic. We've known each other for a few years. "What's going on? Is everything okay?" He looked up with the specific shade of white people only get when they realize they've made a big mistake.

Context Engineering: How to Manage AI Context at Scale

Context engineering is the practice of managing the information an AI model sees (documents, tool outputs, memory, and structured metadata about the systems it reasons over) so it can make accurate decisions inside a real engineering organization. Most engineering teams have access to the same AI coding agents: Claude, GPT, Gemini, the major variants everyone is shipping. The model is no longer the differentiator.

#056 - Cloud Contradictions and Cautionary Tales with Corey Quinn (The Duckbill Group)

In this episode of the Kubernetes for Humans podcast, Itiel sits down with the internet's favorite cloud contrarian, Corey Quinn of the Duckbill Group. Corey shares his unconventional career path as a "cautionary tale," explaining why his knack for fixing horrifying AWS bills makes him a terrible employee, and why he absolutely refuses to touch Kubernetes in production.