Cloud computing has opened up multiple gateways for new and more advanced technologies to flourish. With rapid development, the Internet grew multi-folds and changed the way people exchange information. A similar paradigm shift can be noticed in cloud computing.
Traditionally, services were developed and utilized to follow the industry standards that worked around mainframes and standalone servers, maintaining incoming and outgoing information flow. These services used to be massive applications that had to be updated with new information using a complete update rollout. This particular structure was tedious and also risky, as it could have a possible effect on other linked systems.
Microservices, on the other hand, utilize a much simpler approach. They are autonomous and provide unrestricted functionality to maintain availability and scalability. One of the best usages of microservices is code-reuse ability. When deployed with DevOps, microservices presents itself as an extension to the containerized applications. These have a standard interface and the component can be commissioned or decommissioned depending on the usage.
Without the need of developing a massive application to support the cause, one can use and reuse to build on an already tested and implemented model. This cuts down the cost and coding hours, keeping the deployment group/team small, in case of a bug, only a certain service has to be updated or debugged.
The best practices of DevOps already suggest using microservices for better performance, usability, and availability. This makes the whole system more scalable and doesn’t hog the system resources.
Microservices best practices include:
- A smooth shift from traditional to modern microservices
- Easy migration
- Transform to Microservices environment
- Dedicated team for max efficiency
- Automation
- Non-Faulty Data storage
- REST API
- RPI Selection of correct tools
Learn more about microservices architecture and the implementation of these best practices in the detailed blog post here>>>
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