Continuous Integration and Delivery (CI/CD)
Continuous integration, continuous delivery and continuous deployment represent three levels of software development automation. At the first level, developers can push changes directly to master branch. This is possible due to automated tests that are carried out for such changes.
At the second level, in addition to tests, deployment to production environment is automated. This allows you to deploy your application at any time by button click.
And at the third level, any changes in code, upon successful passage through automated stages of production, are immediately reflected in client's product.
Creating applications technique in which all changes to code are tracked and saved. It is possible to merge changes, resolve conflicts, and revert to code earlier versions.
Version control is fundamental DevSecOps practice that helps developers communicate and share tasks..
With agile development, product is created in short cycles - iterations - in close collaboration between all team members and, what is most important, users.
There are no sequential stages, where participants in stage 3 wait for stage 1 and then stage 2. All stages - 1, 2, 3, etc. - are started in parallel. Due to this, user can get a working prototype of final product almost at very beginning of the project.
World's most famous agile development concepts are Kanban and Scrum..
Approach in which administrators and developers manage and modify data center infrastructure not manually, but through configuration files. This approach makes it easier to automate deployment and porting projects to other platforms and servers, and reduces errors risk..
Managing resources condition within the system, including servers, virtual machines, and databases. By using configuration management tools, engineers can deploy changes to system in a controlled manner, reducing tampering risk of its configuration. It also allows you to monitor system condition and prevent configuration deviations that cause system resources begin to deviate from their assigned conditions over time.
Implies full real-time tracking of system performance and efficiency at all levels. From server processor temperature to business metrics. Data is collected in logs for ease of analysis.
Teams set up an alert system that can gather spotlights from large data volumes. This allows to quickly solve problems and gives an idea of how to improve the application.