Operations | Monitoring | ITSM | DevOps | Cloud

Automate Product Analytics reports with your agent and the CX CLI

Every page view, click, and session your RUM SDK captures lands in Coralogix as a log event under the cx_rum subsystem — the raw data behind how people actually use your product. You can turn it into a shareable report without writing a single query. Just ask your coding agent. Your agent queries that data through the CX CLI and writes the report for you: describe what you want in plain English, get a formatted report back — without leaving the terminal.

The case for preview environments with production data

Before he joined Upsun, Andrew Kester spoiled the biggest sale of a client's year. He was one of two or three web developers at a creative agency that did branding, logos, print, and websites. A design boutique was about to run its annual trunk show, and the discounts and featured brands were meant to stay secret until the reveal on Tuesday at noon. The client asked for a preview. The preview reached production.

Certificate monitoring for your intranet hosts

Certificate monitoring from the cloud only sees what the internet sees, like your public websites. But the vCenter console, the internal API, the switch management page, or that thing on db01.corp.internal are invisible to it. Those certificates expire just like public ones. They just don’t warn anybody first. This gap became very clear when we shipped Private PKI. Now CertKit can issue certificates for internal names and IP addresses, deploy them, and install the root into your trust stores.

We renovated the Civo Community Slack: Here's what changed and why

The Civo Community Slack has become home to over 35,000 engineers, platform teams, students, and practitioners. It’s one of the things we’re most proud of, a genuine space where the people who use Civo and the people who built Civo are in the same room. Since starting the Civo Community Slack, we’ve shipped an entirely new brand, launched Konstruct, and expanded our AI infrastructure.

Why Campus Network Transformation is a Strategic Advantage

For years, the campus network was largely invisible. Students expected to connect to Wi-Fi before class. Faculty logged into learning management systems without thinking about the infrastructure supporting them. Researchers transferred data, administrators processed financial aid, and campus operations continued uninterrupted because the network quietly did its job. When it worked, nobody noticed. When it didn't, IT received a flood of help desk tickets. That dynamic has fundamentally changed.

Assign Bugs and Tickets to the Current On-Call, Automatically

There is a particular kind of ticket that costs more than it should. It is filed correctly, it has a good description, it is in the right project, and it has nobody's name on it. It sits in the queue for two days because everyone who looks at the board assumes someone else has it. Then a customer follows up, someone notices, and the fix takes twenty minutes. The gap was never engineering time. It was ownership.

Railway vs Render vs Your Own Cloud Account: What Actually Fits a Scaleup Outgrowing Managed PaaS

An honest 2026 comparison of Railway, Render, Fly.io and deploying into your own AWS, GCP, Azure or Scaleway account - with the six measurable signals you have outgrown managed PaaS, a priced cost model, and a four-step framework with if-then verdicts. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

The Missing Step in Mobile Release Operations: Store Screenshot Management

Mobile release teams are used to managing code, builds, test results, signing credentials and deployment approvals. Store screenshots often sit outside that system. They are treated as a final design request, passed between product, marketing and engineering in a collection of chat messages and shared folders.

AI Spend Is a Capacity Problem, Not a Billing Problem

Every organisation running models in production eventually reaches the same point: the AI portion of the cloud bill grows faster than expected, and the immediate response is to invest in visibility. Calls are tagged, spending is attributed, dashboards are created, and the results are shown to the teams responsible.