Operations | Monitoring | ITSM | DevOps | Cloud

AI coding assistants are transforming the way developers approach software development by automating routine tasks and enhancing code quality. These tools leverage artificial intelligence and machine learning to provide real-time code suggestions, auto-complete functions, and even debug existing code, making the development process faster and more accurate. Modern AI coding assistants integrate seamlessly with a wide range of programming languages and frameworks, including Java, Python, and C++.

End-to-end (E2E) testing is a crucial software testing methodology that ensures an application works flawlessly from start to finish. In today’s fast-paced development cycles (think Agile and DevOps), E2E testing helps teams validate entire user workflows – from the user interface on the front end, through any APIs or services, down to databases or external integrations – exactly as a real user would experience them.

Many, many years ago, I was a computer science major at the University of Illinois, hoping someday I’d be able to write code for a living. I started my career in QA hoping to learn the ins and outs of software development. But it turns out I wasn’t very good at coding. I was just good enough to get a role as a sales engineer, where all I had to do was write code that could hold together for 30 minutes in a demo.

From optimizing supply chains to personalizing customer experiences, artificial intelligence and machine learning models are no longer statistics-based revenue initiatives; they’re foundational to modern business strategy. Organizations are pouring resources into developing and deploying AI, driven by the promise of unprecedented efficiency, insight, and competitive advantage. Yet, beneath this surging wave of innovation lies a growing tension: the Innovation vs. Control Syndrome.

Effective alerting is the backbone of any observability strategy. But as your systems grow, managing hundreds or even thousands of rules can become a significant challenge. And when something goes wrong, the last thing you want is to fight with your tooling. That’s why we’re thrilled to announce the launch of our brand new alert rules list page, which we built to provide a faster, more intuitive, and scalable experience for teams of all sizes!

MongoDB is a popular NoSQL database used by many modern web applications. Once your web application is up and running, you might find you need to monitor the application data for operational purposes. For example, you may need to report on user sign-ups, or monitor for problems like invalid data. SquaredUp is an easy-to-use dashboard that plugs directly into your MongoDB database to visualize and monitor your data.

"There are only two hard things in Computer Science: cache invalidation and naming things."—Phil Karlton In the age of increasingly frequent deploys, edge caching, and Jamstack adoption, caching plays a key role across the software delivery life cycle. In build and CI pipelines, caching compiled assets or dependencies helps reduce compute costs, speed up job runtimes, and lower the environmental impact (regarding energy usage) of repeated builds.

“We started in 2017 with Calico and never regretted it!” —Stefan Fudeus, Product Owner/Lead Architect, 1&1 Mail & Media.

You’ve made it to Senior engineer. Now what? You’re now staring at the next level, Staff typically, sometimes Principal, or whatever your company calls it. The path feels murky. Your manager gives you feedback like “show more technical leadership” or “think bigger picture”, but what does that actually mean day-to-day? I’ve been there. I’ve also been on the other side, helping engineers grow through whatever explicit (or implicit) levels a company has.

As government agencies modernize IT infrastructure, many are shifting to hybrid and multicloud environments. But this evolution brings heightened exposure to cyber threats. For the public sector, where data protection is tied to national security and public trust, compliance is more than a box to check—it’s the front line of defense. FedRAMP (Federal Risk and Authorization Management Program) provides a standardized framework for securing cloud services used by U.S. agencies.