AWS Lambda is an event-driven, serverless platform provided by Amazon as a part of the Amazon Web Services. AWS Lambda is a computing service which runs code in response to events and therefore manages the computing resources required by that code automatically. Being introduced in November 2014, it has created quite an important place in the market.
Let us have a glance at the features of this amazing platform:
Key Product Features
AWS Lambda is a platform that lets you add custom logic to the AWS resources like Amazon S3 buckets and Amazon DynamoDB tables, which makes it easy-to-apply compute to data as it enters or moves through the cloud.
Build custom back-end services
AWS Lambda can be used to create new back-end services for your applications which trigger on-demand with the help of Lambda API or custom API endpoints built using Amazon API Gateway. With the help of Lambda to process custom events, avoiding these services on clients can avoid client platform variations along with reducing battery drain and enabling easier updates.
Bring your own code
When using AWS Lambda, you may not need to worry about new languages, tools, or frameworks to learn. Any third party library or the native libraries can be used as it also supports Java, Node.js, C#, and Python code, with support for other languages coming in near future.
Completely automated administration
AWS Lambda manages the entire infrastructure to let you run your code on highly available, fault-tolerant infrastructure, allowing you to focus on building differentiated back-end services. With Lambda, you never have to update the underlying OS whenever a patch is released. Nor to worry about resizing or adding new servers with growth in your usage. AWS Lambda deploys your code as well as does all the administration, maintenance, and security patches along with providing built-in logging and monitoring through Amazon CloudWatch.
Built-in fault tolerance
AWS Lambda has built-in fault tolerance and maintains compute capacity across multiple availability zones in all the regions to help protect your code against individual machine or data center facility failures. Both, AWS Lambda and the functions running on the service provide predictable and reliable operational performance. AWS Lambda is designed to provide high availability for both, the service itself and for the functions it operates. There are no maintenance windows or scheduled downtimes.
AWS Lambda invokes your code only when needed and also scales to support the rate of incoming requests automatically without requiring you to make configurations. There is no limit to the number of requests your code can handle. AWS Lambda typically starts running your code within milliseconds of an event, and since Lambda scales automatically, the performance remains consistently high as the frequency of events increases. Since your code is stateless, Lambda can start as many instances of it as needed without any lengthy deployment and delay in configuration.
Run code in response to Amazon CloudFront request
With Lambda@Edge, AWS Lambda can run your code across AWS locations globally in response to Amazon CloudFront events, such as requests for content to or from origin servers and viewers. This makes it easier to deliver richer, more personalized content to your end users with lower latency.
Orchestrate multiple functions
You can coordinate multiple AWS Lambda functions for complex or long-running tasks by building workflows with AWS Step Functions. Step Functions lets you define workflows that trigger a collection of Lambda functions using sequential, parallel, branching, and error-handling steps. With Step Functions and Lambda, you can build stateful, long-running processes for applications and backends.
Integrated security model
AWS Lambda allows your code to securely access other AWS services through its built-in AWS SDK and integration with AWS Identity and Access Management (IAM). AWS Lambda runs your code within a VPC by default. You can optionally also configure AWS Lambda to access resources behind your own VPC, allowing you to leverage custom security groups and network access control lists to provide your Lambda functions access to your resources within a VPC.
Pay per use
When using AWS Lambda, you may need to pay only for the requests served and the compute time required to run your code. Billing is metered in increments of 100 milliseconds, which makes it cost-effective. The scale may range from a few requests per day to thousands per second.
Flexible resource model
All you need to do is to choose the amount of memory you may require to allocate to your functions, post which, AWS Lambda allocates proportional CPU power, network bandwidth, and disk I/O.
How it works
Create a Simple Lambda Function
Sign in to the AWS Management Console and open the AWS Lambda. console.
Choose Create a function under the Get Started section to proceed.
On the Create function page, you are presented with three options:
- Author from scratch
- Serverless Application Repository
In Author from scratch, do the following:
In Name*, specify your Lambda function name
In Runtime*, choose Python 3.6
In Role*, choose Create new role from the template(s):
In Role name*, enter a name for your role
Leave the Policy templates field blank. For the purposes of this introduction, your Lambda function will have the necessary execution permissions
Note: For an in-depth look at AWS Lambda’s security policies, see Authentication and Access Control for AWS Lambda
Choose Create Function
The idea behind the serverless engineering is to pave an innovative way in order to deal with the development of the application. The process that encourages the developer to concentrate properly on coding which may lead the result towards perfect application development.