Introduction To AWS Lambda

Introduction To AWS Lambda

AWS Lambda is the new computing system that offers a variety of benefits like real-time data processing and custom back-end service. With so much information available about AWS Lambda, it can be hard to know what it is without an introduction.

Here’s a breakdown of introduction in the form of frequently asked questions about this system, to help a person to determine if it’s the right option or not.

1- What is AWS Lambda?

AWS Lambda is an Amazon serverless computing system that runs code and automatically manages the underlying computing resources. It lets a person automatically run code in response to many types of events, such as HTTP requests from Amazon API gateway, table updates in Amazon DynamoDB, and state transitions. It also enables the person to extend to other AWS services with custom logic, and even create its own back-end services.

The service works by running code on a high-availability computer infrastructure. It then performs all the administrative duties of that compute resource, like:
providing maintenance on server and operating system,automatically scaling and managing the person’s capacity provisions,handling security patch deploymentcode monitoringlogging
The only work required on the user’s end is supplying code for it to run.

2 - How Does AWS Lambda Work?

While AWS Lambda may seem confusing at first, it really isn’t. In fact, it’s actually just a simple process:
Start off by uploading the code to AWS Lambda.From there, set up the code to trigger from other AWS services, HTTP endpoints, or mobile apps. AWS Lambda will only run the code when it’s triggered and will also only use the computing resources needed to run it. The user have to pay only for the compute time used.## 3 - What are the Advantages of AWS Lambda?

AWS Lambda offers a variety of benefits to its users. Here are 3 of the biggest benefits one should know about when deciding if AWS Lambda is right choice:
It doesn’t require the user to manage any servers. Since AWS Lambda automatically runs user’s code, there’s no need for the user to manage the server. Simply write the code and upload it to Lambda.It empowers the user to easily scale. AWS Lambda runs code in response to each trigger, so user’s application is automatically scaled. The code also runs in parallel processes, each triggered individually, so scaling is done precisely with the size of the workload.It’s affordable. With AWS Lambda, one doesn’t pay anything when code isn’t running. The user has to only be charged for every 100ms of code execution and the number of times his code is actually triggered.## 4 - What Can You Build with AWS Lambda?

AWS Lambda can build a variety of things. Here’s a quick list of just a few use cases for it:
Data processingReal-time file processingData validationFilteringSortingReal-time stream processing3rd-party API requests## 5 - How Much Does AWS Lambda Cost?

As previously mentioned, with AWS Lambda user only pays for what he uses, factoring in the number of requests and duration of the execution of the code. Lambda considers a request to be each time it starts executing in response to a trigger such as an event notification or an invocation volume.

The duration of the code is calculated from the moment the code begins executing until it returns or is terminated.

If one is unsure about whether AWS Lambda is right choice or not, there is a free tier option available to try. This option includes 1M free requests per month, and 400,000 GB-seconds of compute time per month.

References:

To learn more about AWS Lambda, check out Amazon’s handy AWS Lambda FAQ

Create and Deploy AWS and AWS Lambda using Serverless Framework

Create and Deploy AWS and AWS Lambda using Serverless Framework

An introduction to using AWS and AWS Lambda with the Serverless Framework.

AWS - Introduction

The Serverless Framework helps you develop and deploy your AWS Lambda functions, along with the AWS infrastructure resources they require. It's a CLI that offers structure, automation and best practices out-of-the-box, allowing you to focus on building sophisticated, event-driven, serverless architectures, comprised of Functions and Events.

The Serverless Framework is different from other application frameworks because:

  • It manages your code as well as your infrastructure
  • It supports multiple languages (Node.js, Python, Java, and more)
Core Concepts

Here are the Framework's main concepts and how they pertain to AWS and Lambda...

Functions

A Function is an AWS Lambda function. It's an independent unit of deployment, like a microservice. It's merely code, deployed in the cloud, that is most often written to perform a single job such as:

  • *Saving a user to the *database
  • Processing a file in a database
  • Performing a scheduled task

You can perform multiple jobs in your code, but we don't recommend doing that without good reason. Separation of concerns is best and the Framework is designed to help you easily develop and deploy Functions, as well as manage lots of them.

Events

Anything that triggers an AWS Lambda Function to execute is regarded by the Framework as an Event. Events are infrastructure events on AWS such as:

  • An AWS API Gateway HTTP endpoint request (e.g., for a REST API)
  • An AWS S3 bucket upload (e.g., for an image)
  • A CloudWatch timer (e.g., run every 5 minutes)
  • An AWS SNS topic (e.g., a message)
  • A CloudWatch Alert (e.g., something happened)
  • And more...

When you define an event for your AWS Lambda functions in the Serverless Framework, the Framework will automatically create any infrastructure necessary for that event (e.g., an API Gateway endpoint) and configure your AWS Lambda Functions to listen to it.

Resources

Resources are AWS infrastructure components which your Functions use such as:

  • An AWS DynamoDB Table (e.g., for saving Users/Posts/Comments data)
  • An AWS S3 Bucket (e.g., for saving images or files)
  • An AWS SNS Topic (e.g., for sending messages asynchronously)
  • Anything that can be defined in CloudFormation is supported by the Serverless Framework

The Serverless Framework not only deploys your Functions and the Events that trigger them, but it also deploys the AWS infrastructure components your Functions depend upon.

Services

A Service is the Framework's unit of organization. You can think of it as a project file, though you can have multiple services for a single application. It's where you define your Functions, the Events that trigger them, and the Resources your Functions use, all in one file entitled serverless.yml (or serverless.json or serverless.js). It looks like this:

# serverless.yml

service: users

functions: # Your "Functions"
 usersCreate:
 events: # The "Events" that trigger this function
 - http: post users/create
 usersDelete:
 events:
 - http: delete users/delete

resources: # The "Resources" your "Functions" use. Raw AWS CloudFormation goes in here.

When you deploy with the Framework by running serverless deploy, everything in serverless.yml is deployed at once.

Plugins

You can overwrite or extend the functionality of the Framework using Plugins. Every serverless.yml can contain a plugins: property, which features multiple plugins.

# serverless.yml

plugins:
 - serverless-offline
 - serverless-secrets

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AWS Training Online Course - Best AWS Certification - Intellipaat

AWS Training Online Course - Best AWS Certification - Intellipaat

Enroll for best AWS training course with AWS Certification online and placement support. Learn Amazon web services AWS course from certified AWS experts. Enroll Now!

Enroll for best AWS training course with AWS Certification online and placement support. Learn Amazon web services AWS course from certified AWS experts. Enroll Now!

Vue.js and Serverless - Going Serverless with Vue.js

With the rise of serverless architectures, developers have the power to do more with less. Rather than spending time and energy deploying and managing a server, they can now focus on the business logic driving their applications. Serverless functions moreover allow for compartmentalizing your application so your logic is sequestered in a function and can scale automagically without any worry or fuss. What’re more, you pay only for what you use!

In this video, we’ll examine strategies for building applications in VueJS with a serverless mindset. Specifically, we’ll walk through real life use cases of how we can bank on serverless functions to do the work of making API calls and communicating with third party services.

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Further reading about Vue.js and Serverless

Running TensorFlow on AWS Lambda using Serverless

Easily Deploy a Serverless Node App with ZEIT Now

Vue.js Tutorial: Zero to Sixty

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