Microservices can be created using

A variety of technologies, frameworks, and languages, allowing developers to choose the most appropriate for a particular service. Microservices Architecture Image Source: Microsoft Learn Pros and cons of microservice architecture Pros: Independently deployable services accelerate development and deployment cycles. Easier to scale and maintain because individual services can be upgraded or replaced without impacting the entire system. Encourages the use of modern development practices such as continuous delivery and DevOps . Minuses: Increased complexity as developers need to manage multiple services, APIs, and data stores. Problems in communication management and coordination between services.

Higher operating costs are possible

Due to additional infrastructure requirements. Serverless architecture Serverless architecture is a software development approach that uses Indonesia Mobile Database Function as a Service (FaaS) cloud platforms to manage code execution, scale, and infrastructure. In a serverless architecture, developers only focus on writing code, while the cloud service provider handles server management, capacity planning, and other operational tasks. This allows developers to build scalable and cost-effective applications without having to worry about server maintenance. Key Features of Serverless Architecture Managed Infrastructure.

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The cloud provider manages

All aspects of the infrastructure, including provisioning, scaling, and server maintenance. Event Driven: Functions are triggered by events such as API calls, data changes, or scheduled timers, ensuring that resources are only consumed when needed. Scalability. The serverless architecture automatically scales to meet your needs, launching new feature WS Numbers instances when needed. Cost savings. The serverless, pay-as-you-go architecture eliminates the cost of upfront provisioning of server resources, as you only pay for the actual time your functions run. Pros and Cons of Serverless Architecture Pros: Reduces time spent managing and scaling infrastructure, allowing developers to focus on coding. Can result in cost savings as you only pay for the time your functions take and not for pre-allocated resources.

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