Operations | Monitoring | ITSM | DevOps | Cloud

Where AI Media Actually Slows Teams Down - And It Isn't Generation

The constraint on AI-generated video and imagery inside most organisations is no longer the model. It is the review loop, the consistency of a set, and a cost model nobody agreed on in advance - and none of those three get solved by switching to a better generator. In short: budget for iteration rather than render time; build a reference library before the first deliverable; define what a project's generation allowance is up front; and evaluate models on how they respond to a single prompt edit rather than on peak output quality.

Cavalry or cattle? Let the machine decide

Long before dashboards and decibel-loud alerts, there were watchtowers. Every kingdom worth its salt had them, men perched on hills, lighting fires to signal the moment they spotted something suspicious on the horizon. It was, in its time, a fine system. The trouble was that watchmen, being human, occasionally mistook a herd of cattle for an invading army, or a dust storm for smoke, and lit their fires anyway.

Top tips: Small digital habits that save you hours every week

Top tips is a weekly column where we highlight what's trending in the tech world and list practical ways to explore these trends. This week, we're looking at something we rarely think about until the end of the day: the tiny digital habits that quietly eat away at our time. Have you finished a workday feeling busy but strangely unaccomplished? You started with the best intentions.

How to Investigate a Production Incident Using an AI Agent (AppSignal MCP)

An incident has hit your product. I've been there: you're context-switching between hosting, CI/CD, codebase, AppSignal for monitoring, and whatever else your product depends on to minimize downtime and potential losses. You're trying to piece everything together, but it takes a lot of time, and that's something you don't have. AI agents connected to your tooling and your monitoring data via MCP free up that time for you.

Optimizing Kubernetes pod deployments for reliability with topology spread constraints

If you’re like many Kubernetes users, you don’t pay much attention to where or how Kubernetes distributes your pods. As long as they’re running, it doesn’t matter where they get deployed, right? Surely Kubernetes will use some complex algorithm to figure out the most reliable way to distribute your pods across the cluster…right? Pod distribution plays a much bigger role in reliability than you might think.

Shared context for AI coding agents beats better tooling

The instinct when adopting AI coding agents is to optimize the agent. Compare models, tune prompts, argue about which editor has the better completion, and treat the agent as the thing that determines how fast the team moves. Then the commits go up and the product does not. The team building Upsun Dispatch took a different route, and the result is worth copying. They did not find a better agent.

Introducing Coralogix Product Analytics

Coralogix Real User Monitoring has spent years collecting full-fidelity user sessions: every session and event processed in stream, without sampling and without prior indexing, at rest in cloud object storage you own. Today that data does a second job. Product Analytics brings heatmaps, funnels, and pathways to the RUM sessions you already send, with no second SDK to install. One dataset now answers what your users did and why it happened.

A comprehensive guide to Fly.io logging

Deployment is not the end of shipping your application. From time to time, you will get errors that you will need to attend to. Without a good method of catching errors or logs in general, you could end up with uncaught issues that might cost you valuable customers in the process. In this article, you will learn how to catch logs for an application deployed on Fly.io. You will learn how Fly.io logging works, then learn ways to handle logs natively on the platform.

Reduce duplicate alert noise with Alert Deduplication

A single incident can generate the same alert several times in quick succession. These duplicate alerts create unnecessary noise and alert fatigue, and make it harder for on-call teams to focus on the issue that needs their attention. OnPage Alert Deduplication reduces repeat notifications while preserving visibility into every incoming alert.