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  4. Platform As A Service
  5. AWS Lambda vs Google App Engine

AWS Lambda vs Google App Engine

OverviewDecisionsComparisonAlternatives

Overview

Google App Engine
Google App Engine
Stacks10.5K
Followers8.1K
Votes611
AWS Lambda
AWS Lambda
Stacks26.0K
Followers18.8K
Votes432

AWS Lambda vs Google App Engine: What are the differences?

Introduction

In this article, we will explore the key differences between AWS Lambda and Google App Engine. Both AWS Lambda and Google App Engine are popular cloud computing platforms that allow developers to build and deploy applications without having to worry about managing the underlying infrastructure. However, there are several differences between the two platforms that are important to consider when choosing the right platform for your application.

  1. Pricing Model: AWS Lambda pricing is based on the number of requests and the amount of compute time consumed by those requests, while Google App Engine pricing is based on the number of instances and the amount of network traffic used by the application. This means that the pricing structure of these two platforms can vary significantly depending on the nature of the application and its usage patterns.

  2. Programming Languages: AWS Lambda supports a wide range of programming languages including JavaScript (Node.js), Python, Java, C#, and more. On the other hand, Google App Engine primarily supports programming languages like Python, Java, PHP, and Go.

  3. Scaling: AWS Lambda automatically scales your application based on the incoming request volume, without requiring any configuration from the developer. Google App Engine also provides automatic scaling, but it allows developers to configure the scaling behavior based on parameters such as CPU usage, network traffic, and request latency.

  4. Integration with Other Services: AWS Lambda can easily integrate with other AWS services such as Amazon S3, Amazon DynamoDB, and Amazon API Gateway. Google App Engine provides seamless integration with other Google Cloud Platform services like Google Cloud Storage, Google Cloud Datastore, and Google Cloud Pub/Sub.

  5. Deployment Options: AWS Lambda allows developers to deploy their functions independently without worrying about the underlying platform. Google App Engine also offers similar flexibility in deploying applications, but it provides additional options for managing versions, traffic splitting, and rollbacks.

  6. Community Support: AWS Lambda has a larger community of developers and a more extensive ecosystem of third-party tools and libraries. Google App Engine also has a strong community, but it may not be as vast as the AWS Lambda community. The availability of community support and resources can greatly impact development speed and troubleshooting capabilities.

In Summary, AWS Lambda and Google App Engine differ in their pricing models, supported programming languages, scaling behavior, integration with other services, deployment options, and community support. These differences should be carefully considered when choosing the right platform for your application.

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Advice on Google App Engine, AWS Lambda

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

Google App Engine
Google App Engine
AWS Lambda
AWS Lambda

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

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.

Zero to sixty: Scale your app automatically without worrying about managing machines.;Supercharged APIs: Supercharge your app with services such as Task Queue, XMPP, and Cloud SQL, all powered by the same infrastructure that powers the Google services you use every day.;You're in control: Manage your application with a simple, web-based dashboard allowing you to customize your app's performance.
Extend other AWS services with custom logic;Build custom back-end services;Completely Automated Administration;Built-in Fault Tolerance;Automatic Scaling;Integrated Security Model;Bring Your Own Code;Pay Per Use;Flexible Resource Model
Statistics
Stacks
10.5K
Stacks
26.0K
Followers
8.1K
Followers
18.8K
Votes
611
Votes
432
Pros & Cons
Pros
  • 145
    Easy to deploy
  • 106
    Auto scaling
  • 80
    Good free plan
  • 62
    Easy management
  • 56
    Scalability
Pros
  • 129
    No infrastructure
  • 83
    Cheap
  • 70
    Quick
  • 59
    Stateless
  • 47
    No deploy, no server, great sleep
Cons
  • 7
    Cant execute ruby or go
  • 3
    Compute time limited
  • 1
    Can't execute PHP w/o significant effort
Integrations
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Twilio
Twilio
Twilio SendGrid
Twilio SendGrid
No integrations available

What are some alternatives to Google App Engine, AWS Lambda?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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