Languages and DevOps: Can’t be Contained

The growing influence of containers, microservices, and cloud-native computing is changing the way developers think about building and deploying applications. As a result, the need for a more flexible and dynamic approach to DevOps is increasing. This is where the role of languages comes into play. In the past, DevOps teams were largely reliant on a limited set of languages, such as Bash and Python. However, as the complexity of applications has increased, so has the need for a wider

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Languages and DevOps: API-First

Source:-https://devops.com/ One of the places development has made significant changes is in the land of APIs. These days, a program almost isn’t considered a proper application unless it offers APIs to do most of what can be done via UI (and even command line). This is a big deal for several reasons; first and foremost, the ability to subdivide the work and then test each subdivision. A proper API does one thing and does it well. Testing can validate that

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RedMonk Ranks Programming Languages Using GitHub and StackOverflow

Source:-https://adtmag.com/ Programming language rankings get regular headlines, and they should, at least from trend trackers like us. Among my favorite is the RedMonk quarterly, published this week. I like the methodology of their system, which extracts data from GitHub and Stack Overflow and combines them for “a ranking that attempts to reflect both code (GitHub) and discussion (Stack Overflow) traction.” In other words, it correlates what the cool kids are talking about with actual language usage “in an effort to

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