DevOps (development and operations) software is very important to a huge number of people who are involved in software development. In order to understand what a DevOps program/path is and how to properly use it in practice, it is worth talking more about the origins of this set of techniques.
DevOps specialists must know networks (routing, switching) at least at CCNA level, know and be able to use Linux (know CLI, basic principles) and be able to program. Preferably a full-stack – that is, frontend and backend. Ideally, be able to program in Python. That’s what DevOps is all about.
What is DevOps practice?
DevOps is one of the most popular ways of interaction between developers of a particular software. At the same time, this practice includes a set of processes for creating, maintaining and further maintaining software. It should be said that each process cannot exist without each other, as this is the basis of the whole essence of interaction between software developers. DevOps consists of the following tasks that developers need to solve:
- Direct creation of software aimed at solving certain production tasks.
- Testing of intermediate versions or finished software products.
- Operation and testing of finished products in practice.
It is from these phases and consists of devops transformation. The development, testing and operation phases create all the conditions that are so necessary for quality use of this or that software. All programs are designed to work and manage containerized applications. In addition, Logstash allows you to search for information obtained with logs.
What is the essence of DevOps?
The essence of this production is to use a standardized environment for developers to simplify the process of interaction between the elements. Also, the introduction of standard elements in a classic development environment leads to a process that begins to take on a more standardized and automated form. This is why large enterprises with multiple production facilities turn to DevOps practices in order to get a much more optimized production capacity. That said, an ideal example of DevOps practice is to automate not only processes, but also data. In order to ensure that production doesn’t take too long, dates need to be clearly defined. These dates should not be broken, as deadlines should definitely discipline developers and prevent them from blowing off deadlines.