Operations | Monitoring | ITSM | DevOps | Cloud

Modern engineering teams face a persistent challenge: knowing when something goes wrong before their customers do. With microservices architectures sprawling across dozens or hundreds of services, creating comprehensive alerting becomes an overwhelming task. You're left playing whack-a-mole with manual alert configurations, often missing critical issues or drowning in false positives.

The OpenTelemetry Astronomy Shop is a widely used demonstration environment designed to illustrate the concepts and practical implementation of observability in distributed systems. Built as a microservice-based e-commerce application, the demo provides developers with a near real-world environment where they can explore how telemetry data—metrics, logs, and traces—can be collected, processed, and visualized.

There’s a lot of JavaScript developers these days not actually writing code. They whisper sweet prompts to our AI tools and hope for the best. Is it really any worse than copy-pasting from StackOverflow? Welcome to the era of vibe coding, where understanding your code is optional and “it works on my machine” has evolved into “the AI said it would work.”

If you’re struggling to contain cloud costs in this suddenly volatile AI-fixated environment, it might be time to consider FinOps as an exercise in granular allocation and unit economics, with a focus on outcome.

Recently I was importing an Icinga configuration for testing purposes. Working with this configuration, I found that there were icon images assigned to the objects. Sadly, those didn’t display, because I didn’t have the icon set installed. So I thought of creating my own.

Serverless computing has changed the way developers build and scale applications. With event-driven execution, automatic scaling, and a pay-as-you-go model, it removes the need to manage servers and helps teams move faster. This is why industries like FinTech, e-commerce, and media streaming are adopting serverless at a rapid pace. But serverless also brings new monitoring challenges. Functions are short-lived, run in different places, and are triggered by many types of events.

For every SaaS leader, engineer, and operations professional, growth is always the main goal. You’re expected to release features quickly, keep user experiences smooth, and manage everything within a limited budget. But behind the scenes, your application may have hidden issues such as slow performance, unnoticed errors, and laggy transactions that quietly eat away at revenue, reduce customer trust, and exhaust your engineering team.

The Linux Foundation’s latest report, Open source as Europe’s strategic advantage: trends, barriers, and priorities for the European open source community amid regulatory and geopolitical shifts, provides key insights into how European enterprises are using open source software (OSS), as well as the barriers towards further development of open source in the continent.

Open source software is everywhere. Research shows that around 97% of codebases contain open source software, and it’s clear to see why. It’s always magical to realize that there are thousands of free-to-use, ready-built programs and code repositories that solve problems you’d otherwise need to spend weeks building the solutions for from scratch. However, like with all software, you still need to ensure that your software supply chain is secure and safe to consume.

Being “on call” sounds simple: you’re not actively working, but you need to be available if something goes wrong. The real question many employees ask is: do you actually get paid for being on call? The short answer is: it depends. Your pay may hinge on labor laws, company policies, and how restricted your time really is.