AWS, Cloud Computing

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AWS Lambda For Beginners

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Introduction to AWS Lambda

AWS Lambda is a compute service that lets you run code without provisioning or managing servers. Instead, Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring, and logging. As a result, you can run code for virtually any application or back-end service with Lambda. All you need to do is supply your code in one of the languages that Lambda supports.

AWS Lambda supports the following languages for now:

  • Java
  • Python
  • C#
  • js
  • Go
  • PowerShell
  • Ruby

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How does AWS Lambda work?

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Developers can start using AWS Lambda services by coding directly in Lambda’s code editor, mentioning the conditions that trigger the code, or directly uploading the code.

The code executed on Lambda run time environment is called a Lambda Function.

First of all, you need to create a function and add basic information, such as which programming language to use.

Then you need to decide whether you want to write the code directly or upload the code in the supported programming language in a zip file.

Once the code is uploaded, the service will handle all the patching, capacity scaling, and administration.

The code runs when the trigger invokes the lambda function. Thus, we need to trigger the lambda function with an external AWS service. Ex. S3 bucket

Now, Lambda is ready to trigger your function automatically when an event occurs. It will run the code when the trigger event is called and manage and monitor the servers for you.

Creating your first Lambda Function

Go to AWS console and search for Lambda

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Select Lambda and then click on create a function

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Now, you have many options. I will go with Author from scratch

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Enter the function name and select Python 3.9 which you want to use for this function

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Fill in the details as required and click on create the function

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Now your function is created

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You can write your code or can copy-paste the following code

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Use the test button on the top to test your code after deploying it

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Create the test as follows

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Click on Save and then Test.

Go to the execution tab and see the result

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Now you have your first AWS Lambda code executed.

Conclusion

Lambda is FaaS(Function-as-a-service) by AWS. It also provides a runtime API that helps run functions written in other (native) programming languages. It is a serverless, event-driven compute platform that operates whenever an event occurs. It is auto-scalable, efficiently uses resources, and is managed by AWS.

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About CloudThat

CloudThat is an award-winning company and the first in India to offer cloud training and consulting services worldwide. As a Microsoft Solutions Partner, AWS Advanced Tier Training Partner, and Google Cloud Platform Partner, CloudThat has empowered over 850,000 professionals through 600+ cloud certifications winning global recognition for its training excellence including 20 MCT Trainers in Microsoft’s Global Top 100 and an impressive 12 awards in the last 8 years. CloudThat specializes in Cloud Migration, Data Platforms, DevOps, IoT, and cutting-edge technologies like Gen AI & AI/ML. It has delivered over 500 consulting projects for 250+ organizations in 30+ countries as it continues to empower professionals and enterprises to thrive in the digital-first world.

FAQs

1. Can I create a Lambda function for free?

ANS: – Yes. You can create your Lambda function in the free tier of AWS.

2. Are environment variables supported by AWS Lambda?

ANS: – Yes. Environment variables can be easily created and modified from AWS Lambda console, CLI, or SDKs.

3. Is there any way to monitor a Lambda Function?

ANS: – Yes. AWS Lambda Function can be monitored through Amazon CloudWatch.

WRITTEN BY Sonam Kumari

Sonam is a Software Developer at CloudThat with expertise in Python, AWS, and PostgreSQL. A versatile developer, she has experience in building scalable backend systems and data-driven solutions. Skilled in designing APIs, integrating cloud services, and optimizing performance for production-ready applications, Sonam also leverages Amazon QuickSight for analytics and visualization. Passionate about learning and mentoring, she has guided interns and contributed to multiple backend projects. Outside of work, she enjoys traveling, exploring new technologies, and creating content for her Instagram page.

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Comments

  1. Shambhavi

    Mar 23, 2022

    Reply

    Well done

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