AWS Lambda Tutorial for Beginners: What is AWS Lambda?

If you are new to the world of cloud computing and looking forward to learning how to use AWS Lambda, this AWS Lambda Tutorial for Beginners will give you the right starting point to explore and get familiar with Amazon Web Services (AWS). AWS Lambda enables you to build scalable applications with no management at low cost. It’s a compute service that runs your code in response to events and automatically manages the compute resources required by that code. AWS Lambda offers an event-driven architecture that runs your code only when needed and scales automatically, from a few requests per day to thousands per second.

Why Use AWS Lambda

AWS Lambda allows you to write code that runs in response to events and automatically manages the compute resources required by that code. This means your code does not require its own servers or infrastructure, making it highly scalable and cost-effective. You only pay for what you use when your functions are executed, meaning it’s also quite cost-efficient. If you already have a lot of unused server space on hand but are looking to streamline a task or two, look into leveraging AWS Lambda’s cost efficiency with your existing server load you may find it will cover any extra expenses with ease.

How to Write Code for AWS Lambda

Writing code for an AWS Lambda function is a three-step process. First, you need to set up your IDE with code designed specifically to run on Lambda. Second, you will upload that code to AWS CloudFormation and then finally, test and deploy it. In your IDE of choice you’ll want to install a plugin that includes a runtime module specific to Amazon Web Services. This can be done using Node Package Manager (NPM) or with Python’s pip package manager. The most popular plugins include aws-lambda-nodejs6-module by Tim Wagner and aws4js by Gregory Piatetsky-Shapiro. These tools create an abstraction layer between JavaScript and NodeJS functions running on AWS Lambda.

How to Deploy Code to AWS Lambda

While working on some web application, we need to deploy our code somewhere. Our main focus would be on achieving more load to our server and also achieving more reliability. For example, if a user wants any change in something, he should be able to see it instantly. To achieve that, we need a server with high scalability and most importantly very low latency so that users never face any issue with your application. That’s why Google Chrome uses WebSocket Protocol in its new push notification system. We can say that it is one of the fastest protocols available on the internet. Now let us take an example of Amazon Cloud Services (Amazon EC2).

Pricing of Amazon Web Services

Pricing varies depending on your use case, but an AWS Micro instance will cost you around $5.00 per month; plus a variable amount of data transfer and data storage, which you’ll have to pay based on usage. If you plan to use a lot of compute power, they also offer Amazon EC2 Spot Instances, which are significantly cheaper but less predictable in terms of price and availability. To learn more about pricing tiers and spot instances check out Amazon’s detailed documentation here. It’s not that bad! In fact, most developers seem pretty happy with their overall experience using AWS. That said, there are other services that may be better suited to specific needs or preferences. For example, Google Cloud Platform offers flexible options with lower prices than its competitors; Microsoft Azure offers powerful tools and high-performance computing options; DigitalOcean offers cloud servers at low prices and minimal frills IBM Bluemix allows users to build web apps from scratch Heroku lets you deploy apps quickly without having to worry about server management.

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