Serverless microservices are cloud-based services using serverless functions to complete a specific role in the application.
Serverless computing is essentially a way of providing backend-managed services on a cost-per-usage basis. The main principle of a serverless architecture is that the developer can write and deploy code without worrying about the underlying infrastructure, but in contrast to what the name proposes, there are still servers behind it, but in a way that you don’t have to worry about setting it up, its performance, scalability, and maintenance at all. All of these concerns are taken care of by the providers.
Serverless microservices are a good fit for complex, evolving applications, as their modularity makes them easy to manage and scale. Additionally, if your application can be broken down into several discrete services, each of which can in turn be broken down into short-running, event-driven tasks, then it’s probably a good candidate for serverless microservices.
Serverless microservices are constructed with serverless capabilities, which execute small blocks of code in response to HTTP requests and other events. Cloud providers manage all of the underlying infrastructures that are necessary to run function code, which reduces operational overhead and enables developers to focus on application logic.
The ability to run a microservice in a serverless environment has different names in the main Cloud providers. They are referred to as AWS Lambda, Azure Functions, and Google Cloud Functions.
Note: Be aware, you fall right into a vendor-lock situation. The extra managed serverless services you use from a specific vendor, the more attached you are to them and your business will be completely dependent on them.
You can minimize the dependency by hosting your services in different cloud providers.
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