Let’s face it—the term "software supply chain" can feel like navigating a maze of tech jargon. Commit signing, Software Composition Analysis (SCA), eBPF monitoring, SBOM generation, provenance attestations… the list goes on. But at its core, the software supply chain is the backbone of modern development, and its security is non-negotiable. A single vulnerability in this chain can ripple through entire systems, leading to breaches, downtime, and reputational damage.

Synthetic monitoring involves simulating real-world user interactions with your website or application to test performance, availability, and functionality. Dotcom-Monitor’s synthetic monitoring solution takes this concept further by enabling businesses to prepopulate and maintain their CDN caches effectively.

Managing a network can be daunting, especially as your infrastructure grows in size and complexity. Fortunately, network management software can help you monitor, manage, and optimize your network, ensuring everything runs smoothly. This post will explore the seven best network management software tools available today. After, we’ll dive into a comprehensive guide on network management to help you understand its importance and how to choose the right tool for your needs.

This series will guide you through the most crucial container networking concepts. You don't need to be a Docker expert to apprehend the different concepts introduced here, though a basic understanding of networking, Docker, and Kubernetes is required. You can fast-track to the second part by going to Docker Networking Part II. Docker is a tool designed to create, build, and run isolated environments inside containers. It's widely used to containerize applications to run inside lightweight containers.

Cloud providers like AWS excel at creating reliable platforms for developers to build on. But while the platforms may be rock-solid, this doesn’t guarantee your applications will be too. It’s the provider’s job to offer stable infrastructure, but you’re still on the hook for making your workloads resilient, recoverable, and fault-tolerant. There’s only one problem: cloud platforms are essentially black boxes.

How do you know what you don’t know? Philosophers have pondered this age-old question for as long as they’ve been pondering. Perhaps this is because few things are scarier than the unknown. Whether you’re a child tucked in bed and wondering what’s in the closet, or a CTO in the boardroom wondering if your platform can stand up to the next generation of machine learning algorithms — we never outgrow the fear of the unknown.