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Mastering AWS Lambda
Mastering AWS Lambda

Mastering AWS Lambda: Learn how to build and deploy serverless applications

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Mastering AWS Lambda

Writing Lambda Functions

In the previous chapter, we understood serverless computing and took a quick look at how easy it is to get started with AWS Lambda functions using the AWS Management Console, as well as with the AWS CLI.

In this chapter, we are going to take things a step further by learning the anatomy of a typical Lambda function, and also how to actually write your own functions. The following topics are covered in this chapter:

  • Understanding the programming model for a Lambda function using simple functions as examples
  • Working with environment variables and versioning
  • Leveraging third-party tools for a quick and effortless code deployment to Lambda

So no more talking, let's get coding!

The Lambda programming model

So far we have seen that certain applications can be broken down into one or more simple nuggets of code called as functions and uploaded to AWS Lambda for execution. Lambda then takes care of provisioning the necessary resources to run your function along with other management activities such as auto-scaling of your functions, their availability, and so on. So what exactly are we supposed to do in all this? A developer basically has three tasks to perform when it comes to working with Lambda--writing the code, packaging it for deployment, and finally monitoring its execution and fine-tuning.

In this section, we are going to explore the different components that actually make up a Lambda function by understanding what AWS calls as a programming model or a programming pattern. Currently, AWS officially supports Node.js, Java, Python, and C# as the programming...

Versioning and aliases

In the real world, we often have different environments to work out of, for example development, QA, staging, pre-production, production, and so on. Having to manage a single Lambda function across all these environments can be a real pain, and also tricky especially, when each of your environments provide different configuration options, such as different connection strings for databases hosted for development and production, different roles and resource settings.

Lambda thus provides few add-on services that help you better categorize, and manage functions in the form of versions and aliases.

Versioning is a simple way to create one or more versions of your working Lambda code. Each version that you create is basically a snapshot of your origin function. Versions are also immutable which means, that each version you create from the origin or [$LATEST]...

Packaging and deploying

We touched on the concept of packaging and deploying a simple Lambda function earlier in Chapter 1, Introducing AWS Lambda and parts of it in this chapter as well, however in this section, we will be doing things a bit differently! Rather than covering the steps all over again, we will be exploring a few simple and powerful open source Lambda deployment tools that are currently out there in the market today! Why tools you ask? Well, why not?

As a developer we always want to make the deployment and management of our codes simpler and hassle free, especially when it comes to working with a lot of Lambda projects at the same time. These tools accelerate time to development and also help us reduce any errors that may occur when working with the AWS Management Console or the AWS CLI. In this section we will be exploring two such tools that are gaining a lot...

Recommendations and best practices

Following is a list of some of the recommendations and best practices to follow:

  • Optimize your code: Writing syntactically correct Lambda functions is one thing and writing optimized functions is totally another. For example, it's always a good practice to initialize any external services like DynamoDB, SNS outside your function code. The reason for this is simple, each time Lambda starts your code, the underlying container starts up. At this point, the code outside the handler runs first (initialization). When subsequent function calls are invoked, Lambda reuses the same container to run your functions and as a result you save resources and time by not instantiating the external services again.
  • Versioning and aliases: As discussed before, versioning and aliases are a very important set of tools that you should leverage when creating and...

Planning your next steps

With the chapter almost at the end, here are few key next steps that I feel are worth trying out before we jump over to the next chapter. Firstly, create your own Lambda functions and deploy them either by using APEX or Claudia.js. This will help you in understanding versioning and aliases a bit better along with added simplicity to deploying functions as we move along this book. Additionally, there are other deployment tools and services present out there such as lambda-tools, gordon, and serverless which we will be covering in the later chapters.

Next, with the programming model in mind, try out developing the Lambda functions with Java and Python as well. In fact, you can use APEX to deploy your functions with golang as well. You can read more about the steps here at https://www.wolfe.id.au/2016/08/13/bootstrap-an-apex-golang-project/. More importantly...

Summary

It has been a long yet awesome chapter to learn. So let us summarize what we have learnt so far. First up, we deep dived into the Lambda programming model and understood each of its sub components (handlers, context objects, errors and exceptions) with easy to follow examples. Next, we covered how to effectively write and develop functions using the concepts of versioning and aliases. Finally, we concluded the chapter by understanding the use of environment variables and also looked at a few essentials recommendations and best practices to keep in mind when writing Lambda functions.

In the next chapter we will be learning about the importance of testing your code along with some really useful testing tools and frameworks. So stick around, we are just starting out!

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Key benefits

  • ? Leverage AWS Lambda to significantly lower your infrastructure costs and deploy out massively scalable, event-driven systems and applications
  • ? Learn how to design and build Lambda functions using real-world examples and implementation scenarios
  • ? Explore the Serverless ecosystem with a variety of toolsets and AWS services including DynamoDB, API Gateway, and much more!

Description

AWS is recognized as one of the biggest market leaders for cloud computing and why not? It has evolved a lot since the time it started out by providing just basic services such as EC2 and S3 and today; they go all the way from IoT to Machine Learning, Image recognition, Chatbot Frameworks, and much more! One of those recent services that is also gaining a lot of traction is AWS Lambda! Although seemingly simple and easy to use, Lambda is a highly effective and scalable compute service that provides developers with a powerful platform to design and develop Serverless event-driven systems and applications. The book begins with a high-level introduction into the world of Serverless computing and its advantages and use cases, followed by a deep dive into AWS Lambda! You’ll learn what services AWS Lambda provides to developers; how to design, write, and test Lambda functions; as well as monitor and troubleshoot them. The book is designed and accompanied with a vast variety of real-world examples, use cases, and code samples that will enable you to get started on your Serverless applications quickly. By the end of the book, you will have gained all the skills required to work with AWS Lambda services!

Who is this book for?

If you are a Cloud administrator and/or developer who wishes to explore, learn, and leverage AWS Lambda to design, build, and deploy Serverless applications in the cloud, then this is the book for you! The book assumes you have some prior knowledge and hands-on experience with AWS core services such as EC2, IAM, S3, along with the knowledge to work with any popular programming language such as Node.Js, Java, C#, and so on.

What you will learn

  • • Understand the hype, significance, and business benefits of Serverless computing and applications
  • • Plunge into the Serverless world of AWS Lambda and master its core components and how it works
  • • Find out how to effectively and efficiently design, develop, and test Lambda functions using Node.js, along with some keen coding insights and best practices
  • • Explore best practices to effectively monitor and troubleshoot Serverless applications using AWS CloudWatch and other third-party services in the form of Datadog and Loggly
  • ? Quickly design and develop Serverless applications by leveraging AWS Lambda, DynamoDB, and API Gateway using the Serverless Application Framework (SAF) and other AWS services such as Step Functions
  • • Explore a rich variety of real-world Serverless use cases with Lambda and see how you can apply it to your environments
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Table of Contents

10 Chapters
Introducing AWS Lambda Chevron down icon Chevron up icon
Writing Lambda Functions Chevron down icon Chevron up icon
Testing Lambda Functions Chevron down icon Chevron up icon
Event-Driven Model Chevron down icon Chevron up icon
Extending AWS Lambda with External Services Chevron down icon Chevron up icon
Build and Deploy Serverless Applications with AWS Lambda Chevron down icon Chevron up icon
Monitoring and Troubleshooting AWS Lambda Chevron down icon Chevron up icon
Introducing the Serverless Application Framework Chevron down icon Chevron up icon
AWS Lambda - Use Cases Chevron down icon Chevron up icon
Next Steps with AWS Lambda Chevron down icon Chevron up icon

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Magesh.S Aug 14, 2023
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The images are very light. It has to be darker. When one buys book by paying that much cost the printing should be good. Packt has to improve printing. The book should have some value for the amount spent.
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