If you’re part of a software engineering team in digital health, medtech, medical devices, Software as a Medical Device (SaMD), etc. you have to comply with regulatory standards. And one of the biggest challenges engineering leads have in this sector is figuring out what they have to do to achieve software delivery compliance.

In part one of this series, we looked at what is a dependency, different types of dependencies, and their benefits in our code. In part two, we’ll look at the risks of using dependencies. Whenever we add a dependency we are increasing the risks of any software development cycle.

In April 2023, Amazon Web Services (AWS) released a new functionality that allows users running Ubuntu LTS to upgrade their instances to Ubuntu Pro with just a few clicks. This upgrade provides additional security features, including patching for universe packages, extended security management for an additional five years, live kernel patching, and access to FedRamp and FIPS modules.

As engineers, we tend to pride ourselves on building a production-first mindset and operational excellence. According to a recent survey, 74% of executives believe that AI will deliver more efficient business processes, while 55% think that AI will help develop new business models and create new products and services. However, the reality is that 85% of ML projects fail to deliver, and 53% of machine learning prototypes don't make it to production.

Cloud CI/CD is a force multiplier for development teams, especially those working remotely. Automated CI/CD takes load off of developers, allowing them to focus on building better products. Hosted CI/CD adds further benefit to this, ensuring that this newfound capacity isn’t spent managing the testing and deployment infrastructure, and that remote team members have easy access to CI/CD tools.

Virtualization has become an essential aspect of modern computing. By creating a virtual version of a computing resource, such as hardware, storage, or an entire operating system, virtualization allows businesses to optimize resource utilization, streamline management, and reduce costs. Two of the most popular virtualization platforms in the market are Microsoft’s Hyper-V and VMware’s vSphere.

While AWS offers significant benefits compared to traditional on-premise infrastructure, its inherent elasticity and scalability tend to give rise to uncontrolled costs. AWS costs can be opaque and difficult to analyze — and without some system of identifying the source of costs and how to manage them — they can quickly undermine your profit margins. However, a number of tools have emerged over the past few years to help organizations manage and optimize their costs.

If you're a software engineer working with Kubernetes, you know how vital it is to have accurate, real-time information about your applications and resources. With StackState's dynamic Kubernetes observability dashboards, you can now access all the essential data you need for troubleshooting on a single screen. In this blog post, we'll discuss the key features of these dashboards, why they're valuable and how to get started with them.