Nearshore DevOps is a trending methodology today, and many business owners struggle to include it in their particular development, service, and management processes. Despite this, few of them know the real benefits of Nearshore DevOps, not only on a technical level but also in general business activity; In this article, we'll explain some of those benefits at the business level. To understand the role of the nearshore engineer you can learn more about it here.
1. Speed in the Software Development Process
The demands of the business are more and more frequent, with more changes and greater uncertainty in the expected product. That is why IT departments must be agile in meeting these demands. Using a Nearshore DevOps methodology makes it easier for the time that passes from the definition of a business requirement to its implementation in production to be shortened.
2. Faster software releases
Continuous integration (CI) models mean that in the Nearshore DevOps model we always have software available for delivery. On this artifact and applying continuous delivery techniques (CD), we can have a proven software product that can be deployed.
3. Shorten the time to resolve incidents
Issues are another very important point in the software development cycle. Once we have detected an incident, the best scenario will be the one in which the incident is resolved in production in a faster way.
4. Better Quality of Applications
An application with a higher grade of quality fails many times less than an application with a low grade of quality. A lack of quality control can lead us to scenarios where excessive technical debt seriously damages the software development process.
5. Scalability of Applications
One of the pillars on which DevOps is based in the cloud computing models. It is possible to apply a DevOps model without cloud technology, although it is not highly recommended.
The use of automation techniques, the definition of infrastructure as code, and the use of cloud computing will allow the management of the scalability of the applications to face complex scenarios of demand changes.
These scenarios will allow us to have software versions in parallel, manage start-ups without loss of service to the user, be able to respond to high peaks in demand from users, all of them will facilitate a reduction in technological risk.
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