Introduction To AWS Lambda

  • date 21st June, 2019 |
  • by Prwatech |
  • 0 Comments

Introduction To AWS Lambda

Introduction To AWS Lambda, in this Tutorial one, you can learn Introduction To AWS Lambda. Are you the one who is looking for the best platform which provides information about Introduction To AWS Lambda? Or the one who is looking forward to taking the advanced Certification Course from India’s Leading AWS Training institute? Then you’ve landed on the Right Path. The Below mentioned Tutorial will help to Understand the detailed information about Introduction To AWS Lambda, so Just Follow All the Tutorials of India’s Leading Best AWS Training institute and Be a Pro AWS Developer.

♦ What is AWS Lambda?

AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of the Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code. It was introduced in November 2014. AWS Lambda lets you run code without provisioning or managing servers on your own. You pay only for the compute time you consume - there will be no charge when your code is not running.  You can set up your code to automatically trigger from other AWS services or call it directly from any web or your mobile app.

 Introduction

The code you run on AWS Lambda is called a “Lambda Function.” After you create your Lambda function it is always ready to run as soon as it is triggered, similar to a formula in a spreadsheet. Each of the functions includes your code as well as some associated configuration information, including the function name and resource requirements. Lambda functions are “stateless,” with no affinity to the underlying infrastructure, so that Lambda can rapidly launch as many copies of the function as needed to scale to the rate of incoming events. After you upload your code to AWS Lambda, you can associate your function with specific AWS resources or services. (E.g. a particular Amazon S3 bucket, Amazon DynamoDB table, Amazon Kinesis stream, or Amazon SNS notification).

Why AWS Lambda?

Amazon Lambda Service has innumerable benefits and features, some of them are stated below:  NO SERVER TO MANAGE: AWS Lambda automatically runs your code without requiring you to provision or manage servers. You can just write the code and upload it to lambda. CONTINUOUS SCALING: AWS Lambda scales your application by running code in response to each trigger. Your code runs in parallel and processes each trigger individually, scaling precisely with the size of workload. SUBSECOND METERING: With AWS Lambda you are a charge for every 100ms code executes and the number of times your code is triggered. You don’t pay anything when your code isn’t running on AWS Lambda. BRING YOUR OWN CODE: With AWS Lambda supports Java, Node.js, Python, Ruby and C #, with support other languages coming in the future. BUILT-IN FAULT TOLERANCE: Lambda has built-in fault tolerance. AWS Lambda service 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.  FLEXIBLE RESOURCE MODULE: You choose the memory you want to allocate to your functions and AWS Lambda allocates proportional CPU power, network bandwidth, and disk I/O.

How Does AWS Lambda Works?

How AWS Lambda works by using other AWS services you can see in the workflow given below: Following are some recommended tips while using AWS Lambda:  ♦ Write your Lambda function code in a stateless style.  ♦ Never declare any function variable outside the scope of the handler.  ♦ Make sure to have a set of permissions on your files in the uploaded ZIP to ensure Lambda can execute code on your behalf.  ♦ Delete old Lambda functions it no longer required.

AWS Lambda Limits:

Following are the three types of Lambda limits given below:  ♦  Throttle Limit   Resources Limit  ♦   Service Limit

Use cases

REAL-TIME FILE PROCESSING: You can use Amazon S3 to trigger AWS Lambda service to process data immediately after an upload. REAL-TIME STREAM PROCESSING: You can use AWS Lambda and Amazon Kinesis to process real-time streaming data for application activity tracking, transaction order processing, clickstream analysis, and metering. EXTRACT, TRANSFORM And LOAD: You can use AWS Lambda service to perform data validation, filtering, sorting, or other transformations for every data change in a DynamoDB table and load the transformed data to another data store. WEB APPLICATIONS: By combining AWS Lambda service with other AWS services, developers can build powerful web applications that automatically scale up and down. MOBILE BACKENDS: You can build backends using AWS Lambda service and Amazon API Gateway to authenticate and process API requests. IOT BACKENDS: You can build serverless backends using AWS Lambda service to handle web, mobile, Internet of Things (IoT), and 3rd party API requests.

How to access AWS Lambda?

To get started with AWS Lambda service, use the Lambda console to create a function. In a few minutes, you can create a function. We can call it as “Lambda Function”, invoke it, and view logs, metrics, and trace data.  

# Last but not least, always asks for help!

Quick Support

image image