This article gathers the most relevant ones that you have to keep in mind if you implement DevOps or want to start implementing it. If you are in favor of agile methodologies, we recommend you to read it.
In recent years, DevOps has become a fundamental software development methodology. Advantages such as delivering quality products in less time, being able to solve problems quickly and reducing costs have made it essential. However, this method is continuously evolving and there are many practices and technologies that continue to emerge every day to make DevOps teams more efficient and productive.
1. Microservices architecture
Microservices architecture divides monolithic applications into small, independent units. This gives DevOps teams greater agility and scalability, as they can scale each segmented service according to business needs rather than having to scale an entire application at once.
With this architectural model, developers can deploy small features or contain bugs without having to disrupt the entire application.
2. Serverless computing
Serverless computing frees DevOps teams from infrastructure management and potential maintenance issues, allowing companies to focus on activities that are more central to their business objectives. This makes it an option that is expected to gain weight this year.
This model provides flexibility, reliability, speed and cost-effectiveness by relieving DevOps teams of infrastructure management, auto-scaling resources, providing pay-as-you-go and reducing time-to-market.
Low-Code is a software development method that creates applications using little code, from preconfigured and ready-to-use templates or code fragments. This makes it possible to develop and deploy applications more quickly.
More and more DevOps teams are relying on these platforms, which boost their productivity by allowing them to develop new functionality with drag-and-drop ease.
4. Development based on Kubernetes
Kubernetes is an open-source container orchestrator that has long been of great importance for infrastructure. However, it is expected to gain more and more traction on the development side as well.
With Kubernetes, DevOps teams ensure continuous delivery and agility in their developments.
5. Evolution to DevSecOps
Security is becoming increasingly important in software development. More and more companies are incorporating security into their DevOps processes, incorporating security from the very start and throughout the entire lifecycle of their applications. They will thus move from a DevOps to a DevSecOps approach.
This will enable DevOps teams to detect vulnerabilities earlier and develop secure software from the design stage, improving the speed and quality of their deliveries.
6. Desarrollo con IA
El desarrollo impulsado por Inteligencia Artificial llevará el DevOps al siguiente nivel, al automatizar y acelerar cada fase del ciclo de vida de desarrollo de software. De este modo, reducirá la necesidad de intervención humana en todos sus procesos.
La Inteligencia Artificial está revolucionando todos los ámbitos.
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