Django is the most popular web development framework for the Python programming language. Its design facilitates rapid development without compromising on the standards of professionally built applications. It is free, open source, uses the Model-View-Template architectural pattern, and encapsulates a lot of boilerplates to enable developers churn out web apps quickly.
Continuous integration seems like a smart choice, right? Why would anyone think that integrating your code into the product as soon as possible is a bad idea? Let me take you back to August 2000, when a fresh-faced young engineer was starting her first engineering role. She was given a desk, a computer, and a detailed project plan that included a release date three months in the future.
Rust is a powerful language built on the promise of performance and reliability. With no runtime or garbage collector, it easily runs in any environment and can be integrated into any existing language or framework. With the advent of WebAssembly . Rust has become even more valued in the web development space. Rust’s seamless peering with Node.js to build highly performant functionalities has made it a delight for web developers.
Last year, GitHub announced the release of their new CLI tool . The new gh CLI wraps around the standard git cli and offers a suite of additional GitHub.com specific commands. These new commands include the ability to create a new pull request and to create a release directly from your terminal. We here on the CircleCI Community and Partner Engineering team at CircleCI use the gh pr checkout command all the time to safely test pull requests from the community (you!) on our various orbs .
This series was co-written by Musa Barighzaai and Tyler Sullberg. In the previous post, we explored high-level differences between thinking in Clojure compared to thinking in JavaScript. We are now ready to start building our first Clojure microservice. The microservice we are going to build will be very simple. It will be an HTTP server that uses a Redis data store to count how many times a given IP address has pinged the /counter endpoint.
This series was co-written by Tyler Sullberg and Musa Barighzaai. This is the third and final post in a series of posts for JavaScript developers about how to set up Clojure microservices. The previous posts were: Those previous posts are useful context, but you can clone the repo and jump into this post without reading them.
This series was co-written by Tyler Sullberg and Musa Barighzaai. CircleCI is growing, which is wonderful. However, one of the growth challenges we have is that our backend is primarily written in Clojure, and few developers know Clojure. Many CircleCI engineers, including myself, have learned Clojure on the job. Before joining CircleCI, I was a JavaScript developer. As the lingua franca of software engineers, JavaScript is a relatively straightforward language to learn.
Confidently testing in production is crucial for engineers to deliver software quickly. In this blog, we’ll discuss what our team at CircleCI has learned while changing our critical systems.
Software engineering teams have always looked for ways to increase code creation efficiency, reduce code vulnerabilities, and improve security processes. Many are now shifting security left, establishing security controls and testing — specifically integration testing — at an earlier phase in the software development lifecycle (SDLC).
