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What Are The Key Challenges a Platform Team Experiences?

With the increased reliance on various technologies for software development, both software and hardware need to grow along with those technologies to provide reliable and secure services. However, this need has led to creating more complex solutions than ever. Thus, the importance of robust infrastructure has come to the forefront to deliver these solutions reliably at a global scale. Due to these facts, the platform team has to face different challenges to provide and maintain this infrastructure without affecting the software development lifecycle (SDLC) or end-users.

What Is a Platform Team?

We have Dev for development, QA for testing, and likewise, the platform team for managing the infrastructure of an organization. This infrastructure includes both internal SDLC resources like CI/CD pipelines, staging/testing environments, production resources, and in most cases, managing software deployments. The platform team will handle most operational aspects of an SDLC. They are the key component that manages most of DevOps tools and platforms, bringing the full benefits of DevOps.

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Cloud Systems (Part 2): Containerizing a Website

Cloud engineering is taking over software development. In a lot of ways, this is great; it allows us to build and deploy more complicated applications with less difficulty, and maintaining those applications becomes less troublesome too. We can release smaller updates more quickly than ever, ensuring that we can stay on top of feature requests and security issues. That said, the rise of cloud engineering has also introduced a lot of complexity in the form of dozens of services even within just one cloud provider. Figuring out where to start can be tough, so let’s take a practical tour! In this series, I’ll walk you through building a personal website and deploying it using modern cloud engineering practices.

In part one of this series, we built a personal website and deployed it to AWS S3. That works perfectly well for a static, single-page application with minimal interactivity, but if you want server-side routing or database interactivity, things have to get a little bit more complicated. In part two of this series, we’ll be adding a couple more pages to our personal website, adding server-side routing, and containerizing it with Docker.

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Refactoring Infrastructure as Code

The central principle of cloud engineering is adopting software engineering practices. Refactoring is a technique for making changes to code that improve maintainability, enhance performance, scalability, and security without changing its external behavior. In DevOps, refactoring often occurs with modern applications; however, we can apply those same techniques to cloud infrastructure with infrastructure as code.

Refactoring results in many advantages. First and foremost, the code is more readable and easier to understand for other team members –this aids in maintainability and well-organized code, providing a solid foundation for future releases. Overall, if done well, refactoring reduces complexity which makes future changes more efficient.

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9 Questions to Ask When Selecting an IoT Cloud Platform

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IoT engineering combines hardware, connectivity, software, and a UI, all with increased data handling requirements. The combination of these factors means that IoT solutions are likely to be more complicated to engineer and more compute-intensive to run, which is why IoT engineering is ideally suited to cloud-native development.

For those new to engineering in the cloud, this can inject a whole new set of variables into an enterprise's delivery efforts, and with that comes potential disruptions and vulnerabilities in the software development and operations environment. That's also why, in addition to working with an IoT cloud platform provider, many enterprises will choose to partner with a digital engineering provider too.