If the project lends itself to it, particularly Data projects,

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ossible to quickly move on to automation. These tools mainly concern software integration and continuous deployment, as well as preliminary tests before a final launch. These small details allow, if we have taken care to devote time to them from the beginning, to set up short and iterative cycles very quickly , while allowing developers to focus on simple and rapid adjustments based on feedback.

On this subject, from the testing phase, it will be necessary to ensure that all user feedback is collected , from the beta version to the final version, and to give them the attention they deserve. Adjusting software to users before the final launch can save valuable time later.

But the watchword to cambodia phone data espect at all costs for successful industrialization is standardization . Adopt standards for everything: communication, working methods, but also coding languages, development platforms... If two developers can achieve the same result under Python and Java, the difference in programming language could pose a problem when it comes to making the two parts of the code coexist in a single one. Thinking about defining standards from the start of the project avoids this kind of disappointment. Because reprogramming part of a software is a long step that any company would gladly do without.

the use of data pipeline management tools such as Kubeflow allows you to combine the test phases while automatically deploying to the servers .

In any case, the industrialization of an IT project is an adventure in itself, and must be prepared well in advance through meetings in which all stakeholders, creatives and developers alike, must participate in order to plan an effective schedule.

On this last subject, planning all the stages of industrialization with developers and coders can also save valuable time, because in a company, any task that is not subject to a deadline will tend to drag on, to the benefit of other less important tasks, leading to a significant risk of disorganization within the different departments of the company working on the project.