Serverless Computing using Amazon Web Services

Serverless computing is the latest addition to the world of production technology where you can work with services and applications with no administration. You can use them for any application/backend service without you needing to provision, scale or manage servers. As the server management is solely taken care of by the Amazon Web Services (AWS), you don’t worry about running your applications, databases or storage systems. In fact, you simply access AWS through the web or mobile app. In this article, we would discuss the benefits, capabilities, platforms of AWS and why the service is everyone’s favorite as a whole.

1. What are the benefits of serverless computing using the Amazon Web Services?

a) Zero server management – Amazon Web Services take total responsibility for server management. Therefore, you don’t need to download, install, maintain or administer any type of runtime or software.

b) Flexible scaling – You can scale your application automatically, or can manually adjust the capacity by controlling consumption units such as throughput or memory, instead of working with the individual server units.

c) High availability - You are assured of already-integrated fault tolerance and availability capability by the Amazon Web Services India. These features are provided by the services as a necessity.

d) No extra charges – You only pay for what capacity you consume. That means no extra payment is required for storage and compute. Therefore, no charge is there, if you’re not consuming capacity at the moment.

e) Focus on the core product – You don’t need to waste time worrying about maintaining servers, so you can wholeheartedly work on improving your core product. This reduces pressure on the developers who can now use their time and energy on developing their products and services that scale higher and are popular among people.

2. What are the features of serverless computing using the Amazon Web Services?

a) Serverless Application Modeling – The AWS Serverless Application Model is an open-source model that deploys applications that are serverless and web services through tools for lifecycle management of application such as the AWS Code Pipeline and the AWS CodeBuild.

b) Organization and State Management – Each of the micro-services or components regarding your server application are managed using the AWS Step Functions, which build applications concentrating on a specific task allowing you scale applications in no time.

c) Integrations Library – You can jumpstart your server application by using reusable templates and blueprints, and work with intermediary services such as Algorithma, Loggly, Splunk and Box.

d) Simply Communication – You can use entirely updated messaging services to decouple and scale micro-services, distributed systems and serverless applications with Amazon SNS and Amazon SQS.

e) Security – To keep your server application safe, you have the features of logging, access controls, change tracking and encryption. For example, you protect your information with Access Management and AWS Identity. Similarly, you manage the receivers of your server applications using the Amazon Cognito. You can even build VPNs to be only accessed by you with the Amazon Virtual Private Cloud.

f) High storage – AWS provide you with a high storage capacity with Amazon Storage Services. As a developer or part of an IT team, you would get secure, heavy-duty and high-scale-objective storage. For example, Amazon S3 can store and retrieve data from the web, and is extremely simple to use.

g) Cloud Logic Layer – AWS Lambda is a brainchild of the Amazon Web Services, which helps boost your business power by working as a cloud plane and logic layer for your interconnected infrastructure and web APIs. For example, API Proxy Gateway controls traffic, takes care of access control, monitoring and API management. This feature makes it easier for developers to create, develop, maintain and secure APIs at any scale.

h) Responsive Data Sources – You are provided with a list of responsive data sources and providers which help you process data in real-time as needed. Some of these data sources include testing, deployments, monitoring, SDKs, frameworks, and integrated development environment plug-ins.

i) Reliable and high-performance – AWS promises you complete dependability and performance with AWS Lambda with features present such as automatic retries and dead letter queues. These features greatly improve your business power if executed the right way.

j) Developer Ecosystem – You can use developer tools to work with third-party tools and open-source projects which organize the building, management and deployment of code from development to production. For example, Amazon Kinesis makes loading and analyzing data a simpler process, and provides you with a customized option for specialized needs. Amazon Athena works in an interactive-query format, and analyses data using Amazon S3 with standard SQL.

k) Worldwide Scope – You can showcase your ideas worldwide with the Lamba@Edge, as you can find the AWS Lambda in all regions enabled with AWS and Edge Locations. Moreover, one can work with Lambda on local connections that use AWS Green-grass.

Serverless computing using the Amazon Web Services can thus be a huge investment. Due to its above-mentioned features, AWS has become a well-known favorite in the production industry. The functions of AWS are range from web development to data processing, which is why you should start building your own serverless applications with these resources.