Implementing Serverless Microservices Architecture on AWS

July 24, 2019 Aarti Parikh, VOLANSYS Technologies

Microservice is an architectural approach for software that is designed to speed up development cycles and support scalability. In this approach, software is composed of small independent services that communicates over well-architected APIs. 

Our previous article on AWS Serverless platform talked about the fundamentals and benefits of Serverless Multi-Tier architecture. In this article, we will explain how enterprises can implement Serverless Microservices architecture using AWS Cloud.

Monolithic vs Microservices Architecture

In monolithic architecture, all the components are tightly coupled and run as a single service. Here, the entire architecture has to be scaled if any one component of the application experiences a spike in demand. This architecture type increases the difficulty level to implement new ideas in the application.

In Microservices architecture, each component is a small application that has its own hexagonal architecture. It is an architectural style that structures an application as a collection of services that are loosely coupled and independently deployable.

Features of Microservices Architecture

Independent

  • In Microservices architecture, each component can be changed, upgraded or replaced individually without affecting the functionality of other components.

Decentralized

  • Microservices architecture follows the decentralized data management, where each service has its own view on data models.

Autonomous

  • In Microservices architecture, there is no need to share any of the component code or implementation with other components. Any communication between components can be done via well-defined APIs.

Black Box

  • Microservices architecture behaves like a black box because each component hides the details of complexity from other components.

Advantages of Microservices Architecture

Quality

  • Microservices architecture can also improve the quality of code as the whole application is running into small and well-defined components.

Scalability

  • In Microservices architecture, each component is properly decoupled so it can be scaled horizontally and independently from each other and it never faces the downtime during the scaling process because in horizontal scaling more components are added to the existing pool instead of increasing the capacity of each component.

Easy Development

  • Microservices architecture makes it easy to try out new ideas and roll it back with the help of continuous integration and continuous delivery, if something undesired happens.

Resilience

  • With Microservices architecture, applications can handle total service failure by degrading the functionality instead of crashing the entire application.

Challenges of Microservices Architecture

Migration

The process of migration from a Monolithic architecture to Microservices architecture is complex and requires the release code dependencies going down to the database layer.

Testing

In a Microservices environment, testing is complex due to different services and their integrations.

Monitoring

In Microservices architecture, application is broken down into small components. It is difficult to find the root cause of the problem when something goes wrong because the issue may not lie within the component that fails, but a dependency.  

Serverless Microservices Architecture

The diagram below shows the Serverless Microservices architecture where the complete solution is built without managing any server. This also eliminates the operational efforts of running and monitoring the servers.

Lambda will handle everything required to run and scale the execution to meet actual demand with high availability. Lambda supports several programming languages and it can be called directly from any web or mobile applications.

In the architecture diagram, Lambda is integrated with API Gateway. Synchronous calls from API gateway to AWS Lambda enables the application to operate as serverless. AWS Lambda will store all the data in a fully managed NoSQL database called DynamoDB and all the static data will be stored in S3 Bucket.

It can be said that Microservices architecture is designed to overcome the challenges of traditional monolithic architectures seen in enterprise applications. It allows collaboration between operations and development teams of any organization leading to DevOps and is a preferred choice nowadays.

AWS offers multiple managed services that can help engineers build Microservices architectures and minimize architectural and operational complexity.

To learn more about Microservices, visit our previous blogs.

Click here to find AWS APN Partner Network and accreditations.

Aarti Parikh is an AWS Certified Solution Architect, AWS Certified Developer, and AWS Business & Technical Professional. She is associated with VOLANSYS Technologies as a Cloud Engineer. She has sufficient hands-on experience on serverless systems, designing, developing and maintaining cloud infrastructure for public clouds and creating cloud solutions for enterprise applications.

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