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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. AWS Amplify vs Serverless

AWS Amplify vs Serverless

OverviewDecisionsComparisonAlternatives

Overview

Serverless
Serverless
Stacks2.2K
Followers1.2K
Votes28
GitHub Stars46.9K
Forks5.7K
AWS Amplify
AWS Amplify
Stacks615
Followers552
Votes15

AWS Amplify vs Serverless: What are the differences?

Introduction: In this Markdown code, we will compare the key differences between AWS Amplify and Serverless.

  1. Deployment and Management: AWS Amplify is a full-stack app development platform that offers a set of tools and services for building scalable applications, while Serverless is a cloud computing execution model where the cloud provider manages the infrastructure. With Amplify, developers can easily deploy and manage their applications using the Amplify CLI, whereas Serverless requires the use of frameworks like Serverless Framework or AWS SAM for deployment and management.

  2. Backend Services Integration: AWS Amplify provides built-in support for integrating with AWS services like Lambda, API Gateway, DynamoDB, and Cognito, making it easier for developers to build serverless applications with these services. On the other hand, Serverless offers flexibility to integrate with a wider range of backend services and not limited to AWS services, allowing developers to choose services based on their requirements.

  3. Customization and Extensibility: AWS Amplify is designed to provide a streamlined development experience with pre-configured settings and limitations on customization, making it easier for beginners or developers looking for rapid development. Serverless, on the other hand, allows for more customization and extensibility with the ability to write custom plugins, use any programming language, and deploy to multiple cloud providers, making it suitable for complex applications and advanced users.

  4. Pricing Model: AWS Amplify follows a pay-as-you-go pricing model with no upfront costs and charges based on usage of the underlying services like Lambda, API Gateway, and storage. Whereas Serverless also follows a pay-as-you-go model but is more cost-effective for applications with sporadic usage patterns or low traffic as it only charges for the resources consumed during execution.

  5. Community and Ecosystem: AWS Amplify has a strong community and ecosystem with official documentation, tutorials, and support from AWS, making it easier for developers to get started and find resources for troubleshooting or learning. Serverless also has a thriving community with plugins, integrations, and community-driven resources, but it may require more effort to navigate and find the right resources compared to AWS Amplify.

In Summary, AWS Amplify offers a more streamlined development experience with tight integration with AWS services, whereas Serverless provides more customization options, flexibility in backend service integration, and broader community support.

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Advice on Serverless, AWS Amplify

Tim
Tim

CTO at Checkly Inc.

Sep 18, 2019

Needs adviceonHerokuHerokuAWS LambdaAWS Lambda

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

  • Developer Experience trumps everything.
  • AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
  • If you need geographic spread, AWS is lonely at the top.

The setup

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

  • Pure, uncut, self hosted Kubernetes — way too much complexity
  • Managed Kubernetes in various flavors — still too much complexity
  • Zeit — Maybe, but no Docker support
  • Elastic Beanstalk — Maybe, bit old but does the job
  • Heroku
  • Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

  • Developer Experience / DX 🤓
  • Ops Experience / OX 🐂 (?)
  • Cost 💵
  • Lock in 🔐

Read the full post linked below for all details

357k views357k
Comments

Detailed Comparison

Serverless
Serverless
AWS Amplify
AWS Amplify

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

A JavaScript library for frontend and mobile developers building cloud-enabled applications. The library is a declarative interface across different categories of operations in order to make common tasks easier to add into your application. The default implementation works with Amazon Web Services (AWS) resources but is designed to be open and pluggable for usage with other cloud services that wish to provide an implementation or custom backends.

Statistics
GitHub Stars
46.9K
GitHub Stars
-
GitHub Forks
5.7K
GitHub Forks
-
Stacks
2.2K
Stacks
615
Followers
1.2K
Followers
552
Votes
28
Votes
15
Pros & Cons
Pros
  • 14
    API integration
  • 7
    Supports cloud functions for Google, Azure, and IBM
  • 3
    Lower cost
  • 1
    3. Simplified Management for developers to focus on cod
  • 1
    Openwhisk
Pros
  • 5
    GraphQL
  • 3
    Better with Relations and Security
  • 2
    Flexible Auth options
  • 2
    Cheaper
  • 1
    Config free environment variables
Cons
  • 2
    Free tier is limited
  • 1
    Steep Learning Curve
Integrations
Azure Functions
Azure Functions
AWS Lambda
AWS Lambda
Amazon API Gateway
Amazon API Gateway
JavaScript
JavaScript
React Native
React Native
React
React
Amazon S3
Amazon S3
Amazon API Gateway
Amazon API Gateway
Amazon Cognito
Amazon Cognito

What are some alternatives to Serverless, AWS Amplify?

AWS Lambda

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Azure Functions

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Google Cloud Run

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

LocalStack

LocalStack

LocalStack provides an easy-to-use test/mocking framework for developing Cloud applications.

Google Cloud Functions

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

OpenFaaS

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

awless

awless

awless is a fast, powerful and easy-to-use command line interface (CLI) to manage Amazon Web Services.

Apache OpenWhisk

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

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