website, e-commerce platform, smartphone application, but also the most complex projects such as decentralized applications running on blockchains. What is IT industrialization, and how can you succeed in this key stage in the life of a project?
The IT industrialization stage is the last to be implemented before the final launch of an online project. The goal of this is to make the project or company as automated as possible. In doing so, it becomes less time-consuming, more rational and therefore much more profitable. Up until now, development could be described as artisanal . Developers work on the code little by little, do manual tests, and they empirically adapt the size of the servers and the corrections to be made to the software. Then finally comes the industrialization stage .
Logically, you will need cambodia phone data to start by standardizing all formats and processes, defining coding conventions , a language and a common framework for all developers working on the project. This will make their work easier and avoid errors in the long term. Some framework software makes it easy to standardize a framework. Secondly, standardization allows you to automate most processes, including code modifications as they go along. Prior standardization will make it much easier to write automation scripts .
As the project evolves, we will then adapt the IT infrastructure, if necessary the number of hubs and pipelines to guarantee scalability . If the tests are also automated, we can extend the automation to the deployment of all new features and applications once produced.
Fortunately, the work of developers does not stop with the automation of basic processes, and it will remain to write test scripts according to the context and use of the network and the computer system. Some software tools help to create these tests before automating them. They will mainly have to concern the performance of the system and especially security .
IT industrialization involves a share of passive tasks after its implementation, mainly regarding monitoring and maintenance. While an automatic system can easily detect bugs or certain malicious acts, it will be necessary to keep a professional human eye on the entire system to identify possible areas for improvement . For example, extending notifications in the event of a problem to the team members responsib