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

LocalStack vs Serverless

OverviewDecisionsComparisonAlternatives

Overview

Serverless
Serverless
Stacks2.2K
Followers1.2K
Votes28
GitHub Stars46.9K
Forks5.7K
LocalStack
LocalStack
Stacks57
Followers136
Votes33

LocalStack vs Serverless: What are the differences?

Introduction

LocalStack and Serverless are both popular tools used in cloud computing and software development. While they have some similarities, there are key differences that make them unique in their own ways.

  1. Deployment Model: LocalStack is used for local development and testing, allowing developers to simulate cloud services locally without the need for actual cloud resources. On the other hand, Serverless is a framework that allows developers to deploy and run serverless applications on various cloud platforms, such as AWS, Azure, and Google Cloud.

  2. Scope of Services: LocalStack provides a wide range of services that can be used locally, including popular ones like S3, DynamoDB, Lambda, and SQS. It aims to replicate the core functionality of various AWS services. Serverless, on the other hand, focuses more on the deployment and management of serverless applications rather than providing a full suite of services. It provides a framework to easily define, deploy, and manage serverless functions or applications.

  3. Integration with Cloud Providers: LocalStack does not require any integration with cloud providers as it is a standalone tool used for local development and testing. Serverless, however, requires integration with different cloud providers, such as AWS, Azure, or Google Cloud, as it is used for deploying serverless applications on those platforms. It provides a unified interface and deployment process for different cloud providers.

  4. Community Support: LocalStack has an active open-source community supporting its development and maintenance. It is constantly updated with new features and bug fixes based on community contributions. Serverless also has a strong community support and a large user base. Its community continuously contributes to the development of the framework and provides extensive documentation and resources.

  5. Cost and Pricing Model: LocalStack is a free and open-source tool, making it cost-effective for local development and testing purposes. Serverless, on the other hand, is also free to use, but the cost will vary depending on the cloud provider resources used for deploying serverless applications. Cloud provider costs need to be considered when using Serverless in production environments.

  6. Flexibility and Customization: LocalStack allows developers to create custom scenarios and test cases by simulating different AWS services locally. It provides flexibility in testing and replicating specific service behaviors. Serverless, on the other hand, offers flexibility in defining and configuring serverless functions or applications, allowing developers to customize their application's behavior and resources.

In summary, LocalStack is primarily used for local development and testing, providing a wide range of AWS service simulations, while Serverless is a deployment framework for running serverless applications on various cloud platforms, with a focus on ease of deployment, management, and customization.

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Advice on Serverless, LocalStack

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
LocalStack
LocalStack

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.

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

Statistics
GitHub Stars
46.9K
GitHub Stars
-
GitHub Forks
5.7K
GitHub Forks
-
Stacks
2.2K
Stacks
57
Followers
1.2K
Followers
136
Votes
28
Votes
33
Pros & Cons
Pros
  • 14
    API integration
  • 7
    Supports cloud functions for Google, Azure, and IBM
  • 3
    Lower cost
  • 1
    Auto scale
  • 1
    3. Simplified Management for developers to focus on cod
Pros
  • 4
    Integration with Python/nosetests
  • 4
    No dependency on cloud
  • 4
    Local/offline testing
  • 3
    Cost effective testing
  • 3
    Continuous integration
Cons
  • 2
    Doesn't work well on Windows
  • 1
    No proper admin panel/web UI
Integrations
Azure Functions
Azure Functions
AWS Lambda
AWS Lambda
Amazon API Gateway
Amazon API Gateway
Amazon Kinesis Firehose
Amazon Kinesis Firehose
Amazon Redshift
Amazon Redshift
Amazon S3
Amazon S3
Amazon SQS
Amazon SQS
Amazon SNS
Amazon SNS
Amazon Kinesis
Amazon Kinesis
Amazon API Gateway
Amazon API Gateway
AWS Lambda
AWS Lambda
Amazon Elasticsearch Service
Amazon Elasticsearch Service

What are some alternatives to Serverless, LocalStack?

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.

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

AWS Amplify

AWS Amplify

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.

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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