Operations | Monitoring | ITSM | DevOps | Cloud

Cybersecurity threats continue to grow in sophistication and frequency, making robust network security an essential priority for organizations of all sizes. By adopting a structured three-step approach – Identifying who is entering your network, Protecting key assets, and Maintaining good cyber hygiene – businesses can build a resilient defense strategy.

Data security and DevSecOps should be top priorities for every business, but some of us may fear the complexities of implementation. Many organizations are still shelving security concerns in favor of quick IT upgrades and software development. Security is no longer optional. Changes to the laws that govern the collection and use of personal information have forced many to prioritize security sooner rather than later.

In this third and final part of the series, I’ll provide some tips on how to set up your roadmap and effectively demonstrate compliance without overburdening your teams. If you’re just joining the fun now, in our two previous editions we covered who NIS2 applies to and what requirements it sets out. Be sure to have a look at them if you need any additional context.

Open source is one of the most exciting, but often misunderstood, innovations of our modern world. I still remember the first time I installed linux on my laptop, saw the vast array of packages I could install on it, all the utilities and libraries that make it work, all the forum threads filled with advice and debugging and troubleshooting, and I thought: “Wait, all of this is free???” It’s free, you can use it, and it’s awesome.

As the demand for large language models (LLMs) and AI-powered applications continues to grow, businesses are facing challenges in scaling compute capabilities and managing costs. GPUs have become the cornerstone of AI innovation, but their integration requires scalable and efficient solutions tailored to enterprise needs.

Machine learning (ML) has shifted from being a niche research field to a powerhouse behind many technologies we use daily. From personalized recommendations on streaming platforms to chatbots and image recognition, ML’s influence is everywhere. But what exactly is machine learning, and why should you invest time in learning about it? This blog will walk you through ML’s fundamentals, explain what you need to know, and outline a practical step-by-step plan to start your ML journey.

Since its launch in 2009, PagerDuty has been the go-to tool for organizations looking for a reliable paging and on-call management system. It’s been the operational backbone for anyone running an ‘always-on’ service, and it’s done the job well. Ask anyone about the product, and you’re all-but-guaranteed to hear the phrase “it’s incredibly reliable.” I agree. But reliability isn’t everything.

When you're working with logs in software development, one key thing to understand is log levels. They help us organize log messages, making it easier to find and analyze the most important ones. In this guide, we'll walk through what log levels are, why they matter, and how to use them effectively. Let’s get started!

Monitoring your systems can feel like keeping track of a million moving parts. Logs, metrics, traces—the constant flow of data can quickly turn into a whirlwind. Making sense of it all can be overwhelming, but that's where a single pane of glass monitoring helps. In this post, we're going to break down what a single pane of glass monitoring means, why it's so important, and how it can make your life easier by giving you a clearer view of your systems.

Data complexity increases every year. The three Vs of data—volume (the amount of data streaming in and out), velocity (the speed of generation, processing, and streaming), and variety (different forms ranging from structured databases and semi-structured XMLs to completely unstructured data as media files)—are also increasing in complexity.