How to Scale End-to-End Observability in AWS Environments

Serverless Framework vs. AWS CDK

in Serverless

Serverless Framework vs. AWS CDK

Serverless Framework and AWS CDK are infrastructure-as-code tools that complement one another. We’ve explained the differences between both tools in this article.


    Serverless Framework is the most popular and widely used tool for building serverless applications. However, since AWS introduced AWS CDK, it has gained ground among developers who build serverless applications, especially on AWS.

    What are the differences between these two tools?

    Will AWS CDK eventually replace Serverless Framework?

    These are some of the questions we will discuss in this article.

    What is Serverless Framework?

    Serverless Framework is an open-source infrastructure-as-code (IaC) tool and development framework that allows you to build and deploy serverless applications. It’s an easy-to-use framework that enables you to define your serverless application resources in a YAML file then deploy the application on multiple cloud providers. It takes the resource definition in a "serverless.yml" file then converts it to a template of the specified cloud provider.

    What is AWS Cloud Development Kit (CDK)?

    Amazon Web Service (AWS) CDK is an open source serverless application development framework that enables you to define cloud resources for your serverless applications using programming languages like TypeScript, Python, and Java then deploy it on AWS Lambda.

    What are the differences between Serverless Framework and AWS CDK?

    Even though both tools are easy to use and serve the same purposes, some notable differences set them apart.

    Cloud Agnosticism

    The main difference between AWS CDK and Serverless Framework is cloud agnosticism. Serverless Framework allows you to build and deploy serverless applications for all major cloud platforms, including AWS, Google Cloud Platform, and Microsoft Azure. On the other hand, CDK is a serverless IaC tool specific to Amazon Cloud Services alone.

    Think of this as Terraform or Pulumi vs. CloudFormation. While Terraform and Pulumi are used by developers and DevOps professionals to create and provision infrastructure for multiple cloud providers, CloudFormation does exactly the same but only for AWS.

    Resources Definition

    AWS CDK makes it easy to define multiple infrastructure resources like DynamoDB tables and multiple AIM roles. Serverless Framework only allows you to create a basic DynamoDB table in the serverless.yml file, to manage advanced aspects of DynamoDb like autoscaling or creating a global table, you need to configure it directly from the CloudFormation template or integrate an external plugin.

    Also, Serverless Framework creates a CloudWatch Logs group to track the logs of the deployed serverless function in its CloudFormation template. To invoke the logs of a serverless function deployed using AWS CDK, you need to use another tool like AAWS SAM or AWS CLI.

    Extensibility

    Both Serverless Framework and AWS CDK support extensions with plugins, but Serverless Framework has an advantage in this case. Serverless Framework has been in use for years, and it has a vast library of plugins that can help you perform any extended functionality you need.

    Security

    Rather than uploading the CloudFormation template in an accessible S3 bucket like Serverless Framework does, AWS CDK uses CDK metadata which does not give you access to configure, thereby making it safer from possible threats that may occur through tampering with the configuration.

    Use of Programming Language

    AWS CDK takes a programmatic approach to define cloud resource provisioning for AWS serverless functions. It allows you to use popular programming languages like JavaScript, TypeScript, Python, Java, C#, and .NET to define the resources needed for your serverless application.

    Better Documentation

    Serverless Framework is a matured and well-used tool compared to AWS CDK that was introduced barely a few years ago; therefore it has a clearer, well-explained documentation of various aspects of the tool.

    For example; Serverless Framework comes with a sample of how you can add an AWS Lambda function to the serverless.yml file, while AWS CDK does not include such examples, leaving you to figure it out by checking up the documentation.

    Local Testing

    Serverless offers a great experience for local development, including testing your serverless application locally. AWS CDK does not offer this feature unless integrated with AWS SAM CLI.

    Usage

    Features provided by AWS CDK make it an ideal framework to use in building and deploying complicated serverless functions with additional services. At the same time, Serverless Framework is excellent for use in deploying small to medium serverless projects.

    Deployment Speed

    AWS CDK deploys your CloudFormation template in sequential order; it waits for one template to be complete before it deploys another. In contrast, Serverless Framework deploys CloudFormation templates concurrently, making the deployment process faster.

    Will AWS CDK replace Serverless Framework?

    Considering that AWS CDK can only be used on AWS while Serverless Framework can be used on multiple cloud platforms, we can agree that CDK will not replace Serverless Framework.

    Both Serverless Framework and AWS CDK are excellent tools for deploying serverless functions, and it really depends on your preference to determine which one to use. Because CDK is a tool developed by AWS itself, with the fact that it gives you the flexibility to use a programming language to define your application resources, you might want to consider using CDK for your AWS Lambda projects. However, Serverless Framework has a great reputation for various use cases.

    Taking a good look at the differences we highlighted earlier, you will observe that each tool has a better advantage in areas where the other lags, so you need to consider choosing what tool is right for you.


    Get similar stories in your inbox weekly, for free



    Share this story:
    editorial
    The Chief I/O

    The team behind this website. We help IT leaders, decision-makers and IT professionals understand topics like Distributed Computing, AIOps & Cloud Native

    How to Scale End-to-End Observability in AWS Environments

    Latest stories


    How ManageEngine Applications Manager Can Help Overcome Challenges In Kubernetes Monitoring

    We tested ManageEngine Applications Manager to monitor different Kubernetes clusters. This post shares our review …

    AIOps with Site24x7: Maximizing Efficiency at an Affordable Cost

    In this post we'll dive deep into integrating AIOps in your business suing Site24x7 to …

    A Review of Zoho ManageEngine

    Zoho Corp., formerly known as AdventNet Inc., has established itself as a major player in …

    Should I learn Java in 2023? A Practical Guide

    Java is one of the most widely used programming languages in the world. It has …

    The fastest way to ramp up on DevOps

    You probably have been thinking of moving to DevOps or learning DevOps as a beginner. …

    Why You Need a Blockchain Node Provider

    In this article, we briefly cover the concept of blockchain nodes provider and explain why …

    Top 5 Virtual desktop Provides in 2022

    Here are the top 5 virtual desktop providers who offer a range of benefits such …

    Why Your Business Should Connect Directly To Your Cloud

    Today, companies make the most use of cloud technology regardless of their size and sector. …

    7 Must-Watch DevSecOps Videos

    Security is a crucial part of application development and DevSecOps makes it easy and continuous.The …