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AWS Serverless Infrastructure

AWS Serverless Infrastructure is a cloud computing service that allows you to build and deploy your application on an AWS server without having to manage the server or Infrastructure. This allows users to focus on more important aspects of their business.

How it Works

Serverless Pattern

Benefits

Simplified operational management: Developers don’t need to worry about resource allocation, scaling, application deployment, etc. Serverless Infrastructures take care of all these issues.
  • Cost-effective: 
With the “pay-as-you-go” pricing model, there is no extra cost to the user. As with all Amazon Web Services, you are charged for the services you use, and nothing more.
  • Elastic Scalability:
Applications built with a serverless infrastructure will scale automatically according to user-base increases.
  • Multiple language support:
AWS Serverless Infrastructure supports multiple programming languages like Node, C#Python, Java, and many others.
  • Provide security and monitoring mechanisms:
Serverless Infrastructure provides cost-effective sign-up/ sign-in services.

Services Provided by AWS serverless Infrastructure

Serverless Infrastructure provides the execution environment for your application code. There are two services that handle computational tasks. These are:
  • AWS Lambda:  
Lambda functions can be written in any language of your choice. Lambda supports the following runtimes: Node.js, Java, Python, .Net, Go 1.x, Ruby 2.7 and 2.5, Rust, and many more. Lambda can be combined with many other Amazon Web Services and can be used in different conditions like processing data in S3 (Simple Storage Service), managing database handling, and many more. It can trigger over 200 AWS services and software as a service (SaaS) applications and you only pay for what resources you use.
  • AWS Fargate:
With Fargate, you can run docker containers without having to manage servers or clusters. It coordinates and manages the state of each distributed component of a serverless application and automatically allocates the resources you need.

Messaging

  • Amazon SQS (Simple Queue Service):
A fully managed distributed message queuing service, that enables users to decouple and scale microservices and serverless applications. It reduces both IT overhead and total complexity. SQS offers two types of message queues: Standard queue and FIFO queue.
  • AWS SNS (Simple Notification Service):
This is a fully managed messaging service. It allows you to send messages from one application to a large number of subscribers for parallel processing. You can send notifications via SMS, mobile push, Lambda, or email.

Integration

  • Amazon API Gateway:
API Gateway is a managed service for creating, managing, securing, publishing, and maintaining REST and WebSocket APIs at any scale. It handles API calls including traffic management, and authorization, and delivers real-time two-way communication. You need to pay only those API calls you received and the amount of outgoing data, transmitted by AWS.
  • AWS Step Function:
Step Function focuses on orchestration means to plan and organize resources carefully in order to achieve the desired result using Lambda functions and other AWS services. Step Function is based on state machines and tasks. Each step in a workflow is a state. Using a graphical view, you can see components and examine the flow in real-time.
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Security

  • Amazon Cognito:
Security is the most important concern in cloud server infrastructure. Amazon Cognito provides authentications, authorization, and management for web and mobile applications. It has two main components: user pools and identity pools. User pools are user directories, which provide sign-in and sign-up services for your user. In the Identity pool, authorized users can exchange user pool tokens for temporary AWS credentials to access AWS resources.

Analytics

  • Amazon Kinesis is a fully-managed highly scalable streaming service that is used to collect and process large streams of data records in real-time such as website clickstreams, database event streams, financial transactions, and location-tracking events. It consists of 3 services:
  • Amazon Kinesis Data Stream is used to store large data streams in real-time without managing infrastructure.
  • Amazon Kinesis Data Firehose is used to load streaming data into data lakes, data stores, and analytics tools.
  • Amazon Kinesis Data Analytics is used to filter, aggregate, and transform streaming data for advanced analytics.
  • Amazon Athena is an interactive query service that makes it easy to analyze large-scale datasets in AWS Simple Storage Service(S3) using standard SQL. It is serverless, so there is no need to manage infrastructure and pay only for the queries you execute.

Use Cases

Build web applications

Data processing

Batch processing

Event ingestion

Need help on AWS?

AWS Partners, such as AllCode, are trusted and recommended by Amazon Web Services to help you deliver with confidence. AllCode employs the same mission-critical best practices and services that power Amazon’s monstrous ecommerce platform.

Conclusion

Services provided by AWS are fully managed and provide highly available, scalable, and secure services at a lower cost. It makes applications easier to scale and faster to develop. Serverless Applications are used in Web Applications, Real-time File Processing, Real-time stream processing, and Mobile backends. Developers only need to take care of core applications or products instead of the management of servers.
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