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Amazon EKS VS Google App Engine

Compare Amazon EKS VS Google App Engine and see what are their differences

Amazon EKS logo Amazon EKS

Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

Google App Engine logo Google App Engine

A powerful platform to build web and mobile apps that scale automatically.
  • Amazon EKS Landing page
    Landing page //
    2022-01-30
  • Google App Engine Landing page
    Landing page //
    2023-10-17

Amazon EKS features and specs

  • Managed Service
    Amazon EKS is a managed Kubernetes service, which means AWS handles the control plane, saving time and operational overhead.
  • Scalability
    EKS integrates with AWS's scaling tools such as Auto Scaling groups, allowing for seamless scaling of applications.
  • Security
    Offers integration with AWS IAM for authentication and supports network policies and encryption for securing applications.
  • AWS Ecosystem Integration
    Deeply integrated with other AWS services like VPC, IAM, CloudWatch, and more, providing a streamlined experience.
  • Community and Ecosystem Support
    Being a Kubernetes service, it benefits from the extensive Kubernetes ecosystem and community support for tools and extensions.

Possible disadvantages of Amazon EKS

  • Cost
    While EKS simplifies management, it comes with additional costs over using self-managed Kubernetes clusters.
  • Complexity
    EKS, like Kubernetes itself, can be complex to manage and configure, needing skilled personnel to handle deployments.
  • Vendor Lock-In
    Reliance on AWS services can make it hard to migrate to another cloud provider or an on-premises solution if needed.
  • Steeper Learning Curve
    Organizations new to Kubernetes might find the learning curve steep when adopting EKS, requiring significant training and adjustment.
  • Regional Availability
    EKS might not be available in all AWS regions, limiting deployment flexibility for global applications.

Google App Engine features and specs

  • Auto-scaling
    Google App Engine automatically scales your application based on the traffic it receives, ensuring that your application can handle varying workloads without manual intervention.
  • Managed environment
    App Engine provides a fully managed environment, covering infrastructure management tasks like server provisioning, patching, monitoring, and managing app versions.
  • Integrated services
    Seamlessly integrates with other Google Cloud services such as Datastore, Cloud SQL, Pub/Sub, and more, offering a comprehensive ecosystem for building and deploying applications.
  • Multiple languages support
    Supports multiple programming languages including Java, Python, PHP, Node.js, Go, Ruby, and .NET, giving developers flexibility in choosing their preferred language.
  • Security
    Offers robust security features including Identity and Access Management (IAM), Cloud Identity, and automated security updates, which help protect your applications from vulnerabilities.
  • Developer productivity
    App Engine allows rapid development and deployment, letting developers focus on writing code without worrying about infrastructure management, thus boosting productivity.
  • Versioning
    Supports versioning of applications, allowing multiple versions of the application to be hosted simultaneously, which helps in A/B testing and rollback capabilities.

Possible disadvantages of Google App Engine

  • Cost
    While you pay for what you use, costs can escalate quickly with high traffic or resource-intensive applications. Detailed cost prediction can be challenging.
  • Vendor lock-in
    Relying heavily on Google App Engine's proprietary services and APIs can make it difficult to migrate applications to other platforms, leading to vendor lock-in.
  • Limited control
    Being a fully managed service, App Engine provides limited control over the underlying infrastructure which might be a limitation for certain advanced use cases.
  • Environment constraints
    Certain restrictions and limitations are imposed on the runtime environment, such as request timeout limits and specific resource quotas, which can affect application performance.
  • Complex debugging
    Debugging issues in a highly abstracted managed environment can be more complex and difficult compared to traditional server-hosted applications.
  • Cold start latency
    Serverless environments like App Engine can suffer from cold start latency, where the initial request triggers a delay as the environment spins up resources.
  • Configuration complexity
    Despite its benefits, configuring and optimizing App Engine for specific scenarios can be more complex than expected, requiring a steep learning curve.

Analysis of Google App Engine

Overall verdict

  • Google App Engine is generally considered a good choice for developers looking for a serverless platform to deploy their applications quickly without managing underlying infrastructure. Its ease of use, scalability, and integration with Google's ecosystem make it a strong option, especially for projects expecting to scale significantly or require integration with other Google Cloud services.

Why this product is good

  • Google App Engine is a fully managed serverless platform that allows developers to build scalable web applications and mobile backends. It abstracts away infrastructure management, handles scaling automatically, and offers integration with other Google Cloud services, providing a high degree of flexibility and efficiency. Its key strengths include support for multiple programming languages, built-in security features, and seamless connectivity to Google's machine learning and data analytics tools.

Recommended for

    Google App Engine is recommended for developers building web applications who prefer a Platform as a Service (PaaS) model, startups who need a solution that can grow with them without worrying about scaling issues, teams wanting to leverage Google's robust data and analytics offerings, and businesses that require a global reach with reliable performance.

Amazon EKS videos

Amazon EKS Architecture Introduction

More videos:

  • Review - AWS re:Invent 2018: [REPEAT 1] Deep Dive on Amazon EKS (CON361-R1)
  • Review - AWS re:Invent 2020: Looking at Amazon EKS through a networking lens
  • Review - Amazon EKS Roadmap - Nathan Taber
  • Review - AWS re:Invent 2023 - The future of Amazon EKS (CON203)
  • Review - Amazon Elastic Container Service for Kubernetes (Amazon EKS)

Google App Engine videos

Get to know Google App Engine

More videos:

  • Review - Developing apps that scale automatically with Google App Engine

Category Popularity

0-100% (relative to Amazon EKS and Google App Engine)
Cloud Computing
25 25%
75% 75
Developer Tools
68 68%
32% 32
Cloud Hosting
13 13%
87% 87
Backend As A Service
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon EKS and Google App Engine

Amazon EKS Reviews

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Google App Engine Reviews

Top 5 Alternatives to Heroku
Google App Engine is fast, easy, but not that very cheap. The pricing is reasonable, and it comes with a free tier, which is great for small projects that are right for beginner developers who want to quickly set up their apps. It can also auto scale, create new instances as needed and automatically handle high availability. App Engine gets a positive rating for performance...
AppScale - The Google App Engine Alternative
AppScale is open source Google App Engine and allows you to run your GAE applications on any infrastructure, anywhere that makes sense for your business. AppScale eliminates lock-in and makes your GAE application portable. This way you can choose which public or private cloud platform is the best fit for your business requirements. Because we are literally the GAE...

Social recommendations and mentions

Based on our record, Amazon EKS should be more popular than Google App Engine. It has been mentiond 70 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon EKS mentions (70)

  • Vector: A lightweight tool for collecting EKS application logs with long-term storage capabilities
    In this article, we present an architecture that demonstrates how to collect application logs from Amazon Elastic Kubernetes Service (Amazon EKS) via Vector, store them in Amazon Simple Storage Service (Amazon S3) for long-term retention, and finally query these logs using AWS Glue and Amazon Athena. - Source: dev.to / about 1 month ago
  • Comparing the Top 10 Managed Kubernetes Providers (2025 Edition)
    Amazon EKS Deep AWS integration (just bring your patience). - Source: dev.to / about 1 month ago
  • Top 8 Docker Alternatives to Consider in 2025
    AWS Elastic Container Service (ECS) and Elastic Kubernetes Service (EKS) provide managed container orchestration platforms integrated with AWS infrastructure. - Source: dev.to / 5 months ago
  • Securing Applications Using Keycloak's Helm Chart
    Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 6 months ago
  • HardenEKS: The Easy Way to keep your AWS EKS clusters secure and compliant
    HardenEKS is a potent Python-based Command Line Interface (CLI), capable of systematically assessing whether Amazon Elastic Kubernetes Service (Amazon EKS) clusters comply with the strict guidelines laid out in the AWS EKS Best Practices Guide (EBPG). This comprehensive guide covers six fundamental pillars of best practices for Amazon EKS clusters:. - Source: dev.to / 7 months ago
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Google App Engine mentions (31)

  • Guide to modern app-hosting without servers on Google Cloud
    If Google App Engine (GAE) is the "OG" serverless platform, Cloud Run (GCR) is its logical successor, crafted for today's modern app-hosting needs. GAE was the 1st generation of Google serverless platforms. It has since been joined, about a decade later, by 2nd generation services, GCR and Cloud Functions (GCF). GCF is somewhat out-of-scope for this post so I'll cover that another time. - Source: dev.to / 5 months ago
  • Security in the Cloud: Your Role in the Shared Responsibility Model
    As Windsales Inc. expands, it adopts a PaaS model to offload server and runtime management, allowing its developers and engineers to focus on code development and deployment. By partnering with providers like Heroku and Google App Engine, Windsales Inc. Accesses a fully managed runtime environment. This choice relieves Windsales Inc. Of managing servers, OS updates, or runtime environment behavior. Instead,... - Source: dev.to / 7 months ago
  • Hosting apps in the cloud with Google App Engine in 2024
    Google App Engine (GAE) is their original serverless solution and first cloud product, launching in 2008 (video), giving rise to Serverless 1.0 and the cloud computing platform-as-a-service (PaaS) service level. It didn't do function-hosting nor was the concept of containers mainstream yet. GAE was specifically for (web) app-hosting (but also supported mobile backends as well). - Source: dev.to / 8 months ago
  • Fixing A Broken Deployment to Google App Engine
    In 2014, I took a web development on Udacity that was taught by Steve Huffman of Reddit fame. He taught authentication, salting passwords, the difference between GET and POST requests, basic html and css, caching techniques. It was a fantastic introduction to web dev. To pass the course, students deployed simple python servers to Google App Engine. When I started to look for work, I opted to use code from that... - Source: dev.to / 11 months ago
  • Next.js Deployment: Vercel's Charm vs. GCP's Muscle
    GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 11 months ago
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What are some alternatives?

When comparing Amazon EKS and Google App Engine, you can also consider the following products

Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

AWS Fargate - AWS Fargate is a compute engine for Amazon ECS and EKS that allows you to run containers without having to manage servers or clusters.

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.