Operations | Monitoring | ITSM | DevOps | Cloud

The long-awaited cloud services market investigation from the Competition and Markets Authority (CMA) has been published and is an important milestone in the evolution of the UK’s digital infrastructure as a whole. For those unaware of the findings, the report was primarily designed to evaluate whether any features of the UK cloud market were impacting competition because of concerns that a lack of competition was pushing up costs and reduced quality of service.

Mobile devs know the struggle. Small regressions can cause big issues in production, and fixing them isn't as easy as pushing a quick patch. Unlike a web app, shipping fixes for apps means navigating app store approvals, and often hopping on meetings with customers to debug because mobile issues can be so challenging to recreate. Catching these issues before the 1-star reviews roll in is crucial. Luckily, Sentry just made it easier than ever.

On the information superhighway, an IP address is a series of numbers telling the location of a digital resource, similar to having a street address for a building. However, when all you know is the street address, you have no idea what the building itself looks like. If you’re a visual person, you might insert that address into Google Maps to pull up a picture of the building so you have a marker to help find a drive.

Managing SD-WAN at scale? Multi-region setups streamline operations, cut down tunnel overload, and improve network efficiency with a structured backbone. In centralized SD-WAN solutions, managing traffic flows quickly becomes a challenge. Every change to centralized policies not only takes time but also carries the risk of errors that can impact the entire network – definitely not something to tackle on a Friday afternoon!

Prometheus is one of the most popular open-source monitoring and alerting tools. Setting up Prometheus with Docker Compose can make your monitoring stack easier to deploy and manage if you're running containerized applications. This guide will walk you through everything you need to get Prometheus up and running with Docker Compose, from installation to configuration and setting up basic alerts.

If you've ever deployed a distributed system at scale, you know things break—often in ways you never expected. That’s where Chaos Engineering comes in. But running chaos experiments without robust observability is like debugging blindfolded. This guide will walk you through how observability empowers Chaos Engineering, ensuring that your experiments yield meaningful insights instead of just causing chaos for chaos’ sake.

OpenTelemetry is an open-source observability framework designed to instrument, generate, collect, and export telemetry data, including traces, metrics, and logs. It is vendor-agnostic, allowing developers to send data to multiple backend services like Last9, Prometheus, Datadog, or Jaeger without vendor lock-in. For Next.js applications, OpenTelemetry is particularly useful due to the framework’s hybrid rendering approach.

When you think about “AI reliability,” what comes to mind? If you’re like most people, you’re probably thinking of generative AI model accuracy, like responses from ChatGPT, Stable Diffusion, and Sora. While this is certainly important, there’s an even more fundamental type of reliability: the reliability of the infrastructure that your AI models and applications are running on. AI infrastructure is complex, distributed, and automated, making it highly susceptible to failure.

OpenTelemetry is a big, big project. It’s so big, in fact, that it can be hard to know what part you’re talking about when you’re talking about it! One particular critique I’ve seen going around recently, though, is about how OpenTelemetry is just ‘three pillars’ all over again. Reader, this could not be further from the truth, and I want to spend some time on why.

Artificial Intelligence (AI) is reshaping industries worldwide, and Sub-Saharan Africa is no exception. Across the region, governments, businesses, and start-ups are recognising the potential of AI to drive economic growth, improve efficiencies, and enhance decision-making. Yet, as AI adoption accelerates, so does the demand for robust digital infrastructure, including high-performance computing, data centres, and connectivity.