Serverless Model in AWS: What You Need To Know

Serverless Model in AWS: What You Need To Know

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Serverless Model in AWS: What You Need To Know

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What is Serverless?

To understand serverless computing, we need to know how traditional applications are build and works. In traditional applications, we take care of every layer of the application development and deployment process, starting with hardware installation, software installation, database, networking, and various configuration. Furthermore, we need a team of engineers to monitor the servers and conduct routine patch updates and system reboot cycles. In this case, if the system fails, and the application can cause downtime.
The serverless model changes the architecture completely and extracts all the complexity attached to provisioning and managing data centers, servers, and software installations. In the serverless model, developers are only dedicated to business code and the application itself, and they do not need to care about the servers and the performance of those servers. The serverless model is scalable and also very flexible. With a serverless model, we can focus on business models and it also lowers down the cost of developing and running an application.
Sometimes, we might get confused with the word “serverless” which means running applications without servers, which is not the case, it only extracts the developer from the servers in which they run the application and they are managed by the cloud services provider like AWS, Azure.
The billing of the Serverless Model running in AWS cloud gets charged when the resources are executed, which means we don’t pay by creating the resources in the cloud, but when executed, it is calculated to the very millisecond to time that the resources are getting used. This model of pricing is a pay-as-you-go approach in AWS, so it is cheaper than running a traditional-based application. It is not only very cheap but also very reliable, secured, fast, fault-tolerant, and scalable.

What includes in an AWS Serverless Ecosystem?

Following are some of the services in AWS which support Serverless.

  • AWS Lambda: AWS Lambda is a serverless compute service and integrates with other AWS Services. It generally gets triggered through different events which are subscribed to.
  • Simple Storage Services S3: It is a storage service. We can store and retrieve any amount of data. It is a highly available and fault-tolerant storage service.
  • Amazon SQS: It is distributed messaging queue service generally used for messaging communications between two systems.
  • Amazon SNS: It is a notification service, where we can notify the subscriber of different events taking place in AWS.
  • DynamoDB: It is a serverless No SQL database in AWS Cloud.
  • Amazon Kinesis: It is a serverless real-time data streaming service, which can be used to ingest data from different sources in real-time.
  • Step Functions : AWS Step Functions is a serverless function orchestrator that makes it easy to sequence AWS Lambda functions and multiple AWS services into business-critical applications.
  • API Gateway: Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.
  • CloudWatch: Amazon CloudWatch enables you to collect, access, and correlate this data on a single platform from across all your AWS resources, applications, and services.
We can build a serverless application with the following language and supported runtime environment
in AWS Lambda function:
  • Java
  • Golang
  • PowerShell
  • Node.js (Javascript)
  • C#
  • Python
  • Ruby

How we can build and deploy Serverless applications in AWS Cloud?

The AWS Serverless Application Model (AWS SAM) is an open-source framework that can be used to build serverless applications on AWS. A serverless application is a combination of Lambda functions, event sources, and other resources that work together to perform the task.
We can use AWS SAM to build and deploy our Serverless application. AWS SAM has the following components:
  • AWS SAM template specification: We can use SAM specification to define the serverless application. It provides a simple and clean syntax to describe the functions, APIs, permissions, configurations, and events that make up a serverless application.
  • AWS SAM command-line interface (AWS SAM CLI): We can build serverless applications that are defined by AWS SAM templates. The CLI provides commands that enable us to verify that AWS SAM template files are written according to the specification, invoke Lambda functions locally, step-through debug Lambda functions, package and deploy serverless applications to the AWS Cloud, and so on
Teqfocus, as an AWS partner, is committed to assisting businesses in deployment of Serverless applications in AWS Cloud and building a larger AWS ecosystem.
If you need assistance reviewing your AWS applications and infrastructure, do feel free to email us at sales@teqfocus.com, and our AWS pioneers would be thrilled to help you out.

Author:-

Saurav-Patar

Saurav is an AWS Certified Developer Associate and has worked with multiple clients leveraging and helping them in their digital transformation journey. He has 4+ years of experience working with various software development platforms like Java, Angular, Python, and Cloud technologies. He strongly believes that automation is one of the best parameters that define how businesses can evolve and expand in the cloud. Saurav essentially loves to explore and read about Cloud technologies.

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