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  5. Google App Engine vs Google Kubernetes Engine

Google App Engine vs Google Kubernetes Engine

OverviewComparisonAlternatives

Overview

Google App Engine
Google App Engine
Stacks10.5K
Followers8.1K
Votes611
Google Kubernetes Engine
Google Kubernetes Engine
Stacks1.1K
Followers814
Votes78

Google App Engine vs Google Kubernetes Engine: What are the differences?

Introduction

Google App Engine and Google Kubernetes Engine are two different cloud computing platforms offered by Google. While both platforms provide solutions for deploying and managing applications, they differ in several key aspects.

  1. Scalability and Flexibility: Google App Engine is a fully managed platform that abstracts away the underlying infrastructure and automatically scales applications based on demand. It allows developers to focus on building their applications without worrying about infrastructure management. On the other hand, Google Kubernetes Engine (GKE) provides a container orchestration platform that allows users to deploy and manage containerized applications at scale. GKE provides a high level of flexibility, allowing users to have fine-grained control over the infrastructure and scaling policies.

  2. Deployment Model: In Google App Engine, applications are deployed using an app.yaml configuration file, which specifies the runtime environment and resources required for the application. The deployment process is straightforward, and Google handles the rest, including auto-scaling, load balancing, and maintenance. In contrast, GKE follows a container-based deployment model, where applications are packaged into containers using Docker and deployed as pods on a cluster of virtual machines. This gives users more control over the deployment process and allows them to choose the container image and configuration.

  3. Resource Management: Google App Engine automatically manages the allocation of resources based on the application's needs. It scales the application horizontally by creating new instances when the demand increases and shutting down instances when the demand decreases. GKE, on the other hand, allows users to define and manage resource allocation manually. Users can specify the number of pods, their resource requirements, and scaling policies based on their specific needs.

  4. Cost Structure: Google App Engine follows a pricing model based on the resources consumed by the application, including CPU usage, storage, and network bandwidth. The pricing is based on the actual usage of the application and the number of instances created. GKE, on the other hand, follows a pricing model based on the underlying virtual machine instances and the usage of additional Google Cloud services. Users are billed based on the number of running virtual machines and the additional resources utilized.

  5. Platform Abstraction: Google App Engine abstracts away the underlying infrastructure, providing a simple and easy-to-use platform for deploying and managing applications. It simplifies the development process by handling tasks such as load balancing, auto-scaling, and maintenance. GKE, on the other hand, provides a more low-level infrastructure management platform. It offers more control and flexibility but requires users to have a deeper understanding of infrastructure management and containerization.

  6. Supported Workloads: Google App Engine is well-suited for web applications, mobile app backends, and simple APIs. It provides a managed environment for running applications without the need for infrastructure management. GKE, on the other hand, is more suitable for complex workloads that require fine-grained control over the infrastructure, such as microservices architectures, batch processing, and big data workloads.

In summary, Google App Engine is a fully managed platform that abstracts away infrastructure management, while Google Kubernetes Engine provides a more flexible and scalable container orchestration platform. App Engine simplifies development and is suitable for simpler workloads, while GKE offers more control and is better suited for complex and scalable applications.

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Detailed Comparison

Google App Engine
Google App Engine
Google Kubernetes Engine
Google Kubernetes Engine

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.

Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

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.
Docker support - Improve the predictability of your deployments with Docker containers. Containers make it easy to deploy applications across environments.; Better ops - Give ops a better system, starting with a managed compute cluster. Container Engine takes care of provisioning and maintaining the underlying virtual machines and operational logistics like logging, monitoring, and health management.;Declarative management - Use declarative syntax to define your application requirements. Container Engine will actively manage your application, ensuring your containers are running and scheduling additional as needed.;Scalable - Run multiple containers in a single virtual machine, or scale to many as your application grows. Container Engine makes it easy to manage your containers across a group of virtual machines.;Powered by Kubernetes - Container Engine is powered by the open source Kubernetes technology. Join the discussion on Kubernetes and be part of the growing community.;Decoupled apps - Let developers focus on code, with very few constraints. Create loosely coupled microservice apps that are more robust and easier to maintain and extend.
Statistics
Stacks
10.5K
Stacks
1.1K
Followers
8.1K
Followers
814
Votes
611
Votes
78
Pros & Cons
Pros
  • 145
    Easy to deploy
  • 106
    Auto scaling
  • 80
    Good free plan
  • 62
    Easy management
  • 56
    Scalability
Pros
  • 18
    Backed by Google
  • 18
    Powered by kubernetes
  • 13
    Docker
  • 12
    Scalable
  • 7
    Open source
Integrations
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Twilio
Twilio
Twilio SendGrid
Twilio SendGrid
Docker
Docker

What are some alternatives to Google App Engine, Google Kubernetes Engine?

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.

Amazon EC2 Container Service

Amazon EC2 Container Service

Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.

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.

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