As businesses migrate from regular app development to different cloud-based platforms, they opt for serverless computing. It has become the need of the hour, as it offers assistance in scaling the infrastructure. AWS serverless computing is equipped with the capabilities to accomplish the necessary business demands. In the era of robust platforms and cloud computing, microservice architecture comes with certain benefits.
Differences between monolithic and serverless microservice architectures
Microservices architecture is regarded as a service-oriented architecture, or SOA, in which the specific app is composed of independent and small deployable service collections that are fine-tuned and communicate with one another over different well-defined APIs. The complications of different components are restricted to themselves. Thus, it is not possible for other components to view them.
The addition of different features and scaling of different individual components does not impact the functionalities of different components. Apart from this, the individual component scaling does not include working on the complete app. Furthermore, every component boasts a unique data model view, which results in decentralized data management, leading to risk management and flexibility benefits. Small teams control service ownership independently, which leads to agility. Thus, it is useful for business enterprises to scale successfully.
It is possible to deploy serverless apps with microservices and monolithic approaches. Monolithic apps are known to combine the data access code, business logic, and user interface into one package, which is completely independent of different apps. Though the specific infrastructure functions for different apps, such as word processors, it remains inadequate for the specific apps, which need consistent scaling and different extra features.
Scaling of the whole architecture to accomplish the singular component design is not an affordable and optimal approach to facilitate app development. In addition, the monolithic apps lead to different security and maintenance problems.
Benefits of the microservices architecture
Now, we are going to discuss some of the benefits of the microservices architecture:
Quicker and hassle-free development
By choosing microservices, autonomous and smaller teams scale, deploy, and develop the different components without worrying about the whole codebase. Thus, they have the ability to implement the whole idea with the use of continuous integration along with the consistent delivery approach that the microservices architecture supports.
Scalability
As the app components function independently from each other, scaling them in an upward and downward direction becomes easy for different development teams. Thus, it is possible to add more components to the pool during the horizontal scaling process. Henceforth, the app does not need to encounter downtime.
Legacy system modernization
For businesses that execute on different legacy systems, microservices provide an outstanding option to modernize the apps and move away from the whole monolithic architecture. Since the architecture is known to be component-based, it is possible to do the transformation incrementally. Choosing such architecture boosts agility and productivity in the development process, thereby removing security and maintenance issues.
Resilience
In the microservices architecture, you are not going to find any kind of failure point. Since the components get deployed independently, the failures impact the specific functionality in place of failure cascades, thereby crashing the whole app.
Is AWS suitable for serverless microservices?
AWS, or Amazon Web Services, provides a wide assortment of services that lend a helping hand in deploying microservice-based software. It is inclusive of SDK packages, IaaS, SaaS, and PaaS services, which provide support for different complex apps. In this section, you can learn how different AWS solutions for aws amplify development help serve certain apps:
Computing
AWS Lambda and Amazon Elastic Container Service offer outstanding serverless computing services.
Storage
To facilitate cloud storage, you can use Amazon ElasticCache and Amazon S3.
DevOps Support
AWS provides different DevOps tools, such as Amazon Container Image Repository, to allow CI/CD workflows.
Database
AWS for aws lambda development offers a host of different database services, such as Amazon Aurora, Amazon DynamoDB, and Amazon RDB, which are used with the microservices architecture.
Messaging
Amazon SNS, or Amazon Simple Notification Service, is known to send different notifications, whereas Amazon SQS, or Amazon Simple Queue Service, offers a message queuing feature that is useful for different serverless and microservices apps.
Monitoring
You can use Amazon CloudTrail to facilitate infrastructure monitoring. Amazon CloudWatch is considered a suitable service for API monitoring.
AWS services, which function with different serverless microservices
AWS, or Amazon Web Services, provides a wide assortment of services that provide assistance to serverless microservice architecture. Though AWS provides the majority of the services with serverless microservices, here we are going to discuss some of the major AWS services:
Amazon CloudWatch
AWS Cloudwatch is used on a wide scale to execute the app in a serverless environment. Thus, the cloudwatch helps store the textual information and numerical metrics in the logs, which are used to track the services in real time.
Amazon S3
S3 is regarded as the AWS object storage web service, which is used by the AWS Lambda. Thus, it helps store static data, like the log files in the S3 bucket. You can use Amazon S3 to track the performance.
Amazon DynamoDB
Amazon DynamoDB is recognized as the completely managed AWS NoSQL database, which enables the database for automatic scaling. In the serverless backend microservices architecture, you can use AWS Lambda to retrieve and store the data from DynamoDB.
Amazon Lambda
AWS Lambda is recognized as a serverless platform that executes code in response to different events. Thus, it helps manage different computing resources and manage the load. API Gateway makes different synchronous calls to the Lambda, thus making the app completely serverless.
Amazon API Gateway
API deployment, API creation, and API maintenance happen to be time-consuming and complicated tasks. It is possible to remove the operational complexity by using API Gateway, which makes use of the configurable RESTful APIs as a service. Thus, the developers create the APIs programmatically to cater to different needs. By choosing API Gateway as the interface, different interactions and calls are sent to the apps and the components, which execute on different on premises environments.
