As developers, we often get comfortable with a language and ecosystem, mastering its quirks and nuances. But what happens when we need to step out of our comfort zone? What if the best tool for the job is in a language we haven’t touched before? The transition from one language to another used to be a daunting task, requiring days of reading books, writing small programs, and debugging mysterious errors. However, in the era of AI-assisted development, this learning curve has flattened significantly.

In the past, formal education was primarily accessible through schools, colleges, and universities. However, this is no longer the only path to gaining knowledge. Today, with the vast array of modern tools and technologies available online, self-education has become more viable than ever. If you have the motivation and discipline, you can learn virtually any subject without attending a traditional institution.

Education is now widely accessible through various online resources, including:

The Tech Chorus DevOps Platform

Over the last decade, the way we develop and deploy software has transformed significantly. This transformation has brought together various sub-disciplines, collectively known as DevOps engineering, including:

• IT Engineering: Focused on hardware and networking infrastructure.
• System Administration: Responsible for managing servers in racks, data centers, or colocation services.
• Cloud Infrastructure Engineering: Specializes in managing public cloud infrastructure.
• Platform Engineering: Builds and maintains platforms for deploying software applications, abstracting away complexity for users.

Introducing the Tech Chorus DevOps Platform

The Tech Chorus DevOps Platform is both a framework and software platform designed to host and run software applications and services. It facilitates the creation of cloud-based infrastructure from scratch and adheres to an opinionated approach, integrating best practices and tradeoffs. The platform offers a reference architecture and implementation to meet the most common use cases, with a strong emphasis on open-source technologies.