These systems are created with the express intention of existing and running in the cloud. There are several cloud services that allow for dynamic and agile application development techniques. Many of them, including microservices and application programming interfaces (APIs), help developers adopt a modular approach to building, running, and maintaining software. This design pattern is designed to support cloud deployment and take full advantage of the cloud's scalable nature.
Microservices are a collection of loosely coupled services that form as the result of building a distributed application using containers, with each application operating independently of another. This allows each service abundant scalability and the freedom to update without affecting other services. Each microservice supports a single goal and uses a well-defined interface to compartmentalize its function and communicate with other services.
APIs are like gateways between applications that may otherwise share no discernible similarities. They facilitate communication between applications like microservices to help gather and respond to data. Processes like ordering pizza via a mobile app or booking a hotel online utilize APIs. They vary in type and deliver different types of information. Microservices and APIs work together to shift information around software created with the cloud-native methodology. When using APIs with cloud-native architectures, however, they must be declarative: they should let users declare what should happen, not how.
Regions are integral to understanding and anticipating needs for applications crafted with the cloud architecture concept. They let you allocate internal and external cloud resources closer to your customers. Selecting the right availability zone per region that works for your cloud architecture-based application helps reduce latency, improve compliance and data sovereignty based on industry and location, cut costs, and improve disaster recovery.
Automation is also a key component of cloud-native architecture. It’s integral to establishing consistency across your cloud environment, making resiliency, scalability, and tracking possible. Automated tools track what applications are currently running, detect systems that could be experiencing problems, and facilitate remediation and redeployment as needed.
In the end, as the most adaptable to change, cloud-native architecture can help you get the most out of the public cloud. It’s also a great way to craft the applications that mean the most to your business, from abstract software units like containers to swift deployment.