Building an effective CI/CD pipeline is a tedious, time consuming job & the process can often be fraught with errors. Also, it requires a lot of upfront investment because automated tests must be written for multiple release stages & scenarios.
A CI/CD pipeline is defined as a Continuous Integration & a Continuous Deployment pipeline, which follows a series of tests & steps to deliver & develop software over multiple release stages. It allows teams of developers to work on projects as a unit & ensure that errors, repetitive code & bugs are caught before runtime. For languages such as Python, Java, Javascript (Node) & Golang, building a pipeline is standard practice, but it’s not an easy feat to get the process right. The system of automation allows changes to the code to go live quickly as long as the code passes a set number of automated tests, thereby making the developers’ lives much easier, & the app far more robust.
“r2devops” is an online solution aimed at simplifying the creation of CI/CD pipelines using a no-code approach. r2devops has done all the groundwork & facilitates building a pipeline for a project in a single click. The solution offers AI tools that save developers time, since they don’t have to build their own system. The app allows developers to create a CI/CD pipeline in one click without any coding & promises to save developers at least 1 hour per day. The app also allows devs to maintain the security of their projects & keep them up to date so that they can focus on building apps not automated tests
A CI/CD pipeline can be created using r2devops from Github or GitLab for Python, Node, Java & GoLang. Developers simply need to add their repository & then monitor the project using the app’s dashboard. Developers & managers will be notified, instantly, of any updates or conflicts that occur in configuration & deployment. The system is stunningly easy to use & is absolutely free. It makes the deployment of software far less risky for businesses & developers. r2devops supports both automatic & manual setup of a pipeline & offers documentation to illuminate the process.
Image credit: r2devops
