Ship Smarter Session: Connecting Cursor to CircleCI with MCP
Learn how to connect Cursor to CircleCI using MCP in this short demo. This video shows the workflow end to end so you can see how the integration works in practice.
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Why AI-driven automation in incident response is viable now
This article explains why AI-driven automation in incident response is feasible now. Teams can finally safely delegate repetitive and time-critical response tasks to AI Agents, which operate with contextual awareness and human oversight. The result is faster response, higher service uptime, and less alert noise – without losing control.
Custom Enterprise Software Development Explained in Plain English
Does your team spend more time fighting with its software than getting work done? It's a common frustration: forcing your company's unique, proven processes to fit inside the rigid boxes of off-the-shelf software. You're left juggling spreadsheets, manual workarounds, and disconnected systems that slow down growth and create operational headaches.
Treatment Frequency and Skin Response Over Time
Facial skin treatments work best when they follow a schedule that matches how the skin responds and recovers. Skin needs time to reset after any treatment, even gentle ones. When treatments are spaced well, the skin has a chance to benefit from the results instead of becoming irritated or overstimulated.
How to Keep Clinic Software Running 24/7: Preventing Overnight Downtime
Operating a medical practice is already hectic enough without the fear of whether your clinic software is going to be running the next day when you get in the door. However, the truth is as follows: 24-hour downtimes not only are irritating, but also may disrupt the care of patients, schedule appointments, and make the work of those who have to use that system operational at 7 AM a nightmare.
The Presentation Problem Nobody Talks About in Operations
Operations leaders measure everything. Cycle times. Throughput. Error rates. Resource utilisation. The metrics that define operational performance get tracked with obsessive precision. Yet one of the biggest time sinks in most operations organisations goes completely unmeasured. The hours spent translating operational reality into presentations for people who were not there to witness it.
Breaking the Iron Triangle: How AI-powered investigations change the economics of uptime
In engineering, there's a concept known as the Iron Triangle. With three sides—cost, quality, time—it's a framework intended to help you prioritize different aspects of project management Want fast, high-quality features? It'll cost you. Need to keep costs down while maintaining quality? That'll take time. And if you're trying to move fast and cheap? Well, good luck with quality. For years, this has been the brutal reality of running services on the web.
4 foundations you need to scale AI in engineering
As a baseline, engineering leaders need their teams to adopt AI tools to speed up velocity and ship faster. Most organizations have already rolled out AI coding assistants or are evaluating them, but there's a really big difference between buying a tool and successfully scaling it across an engineering organization. If you layer AI on top of a chaotic codebase or a disorganized service catalog, you accelerate the creation of legacy code.
The API Metrics Every SaaS Team Must Track In 2026
API metrics have long been a core part of building and operating reliable SaaS products. Teams track the likes of request volume, latency, and uptime to ensure APIs perform as expected under load. First: API cost intelligence metrics measure how API usage translates into cloud, AI, and third-party spend — and attribute that cost to customers, features, workflows, and teams so SaaS businesses can protect margins as usage scales. But today, the API metrics that matter most go beyond performance.
Your Cloud Economics Pulse For January 2026
Welcome to January’s Cloud Economics Pulse, CloudZero’s monthly look at cloud spend as AI moves from vibe to prod. And this related news flash — AI spend keeps hitting new highs. pilots to production. In last month’s Pulse, we explored the compounding effect of AI becoming part of everyday cloud operations. This month, we see that pattern harden into year-end results.