Software Alternatives, Accelerators & Startups

Amazon EKS VS Google Cloud Run

Compare Amazon EKS VS Google Cloud Run 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 Cloud Run logo Google Cloud Run

Bringing serverless to containers
  • Amazon EKS Landing page
    Landing page //
    2022-01-30
  • Google Cloud Run Landing page
    Landing page //
    2023-10-16

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 Cloud Run features and specs

  • Scalability
    Google Cloud Run automatically scales the number of container instances based on incoming requests, ensuring optimal resource usage and performance.
  • Ease of Use
    Cloud Run makes it simple to deploy and manage containers, with minimal configuration required. The platform supports popular languages and frameworks.
  • Serverless
    Cloud Run abstracts away server management, letting you focus on writing code without worrying about infrastructure provisioning or maintenance.
  • Cost-Effective
    Customers only pay for the exact resources they use, thanks to per-request billing, making it a cost-effective option for variable workloads.
  • Integration
    Seamless integration with other Google Cloud services like BigQuery, Cloud Pub/Sub, and Google Kubernetes Engine enhances functionality and data handling capabilities.
  • Custom Domains and SSL
    Cloud Run offers support for custom domains and automatically manages SSL/TLS certificates, ensuring secure communication for your services.

Possible disadvantages of Google Cloud Run

  • Cold Starts
    Due to its serverless nature, Cloud Run can experience latency during cold starts, which may impact performance for time-sensitive applications.
  • Limited Execution Time
    There is a maximum request timeout of 15 minutes, which may not be suitable for long-running processes or tasks that require extended execution time.
  • Complex Pricing Model
    Although cost-effective for many use cases, the pricing model can be complex and may require careful cost management and monitoring to avoid unexpected expenses.
  • Limited Regional Availability
    Cloud Run may not be available in all regions, which can limit its use for applications requiring specific geographic distribution or compliance with regional regulations.
  • Dependency on Containerization
    Cloud Run requires applications to be containerized, which might necessitate additional effort for those not already familiar with Docker or other container technologies.
  • No Stateful Processing
    Being a stateless platform, Cloud Run is not ideal for applications requiring persistent state between requests, potentially necessitating additional services (e.g., databases) to manage state.

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 Cloud Run videos

No Google Cloud Run videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Amazon EKS and Google Cloud Run)
Cloud Computing
47 47%
53% 53
Developer Tools
52 52%
48% 48
Cloud Hosting
34 34%
66% 66
DevOps Tools
100 100%
0% 0

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 Cloud Run

Amazon EKS Reviews

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Google Cloud Run Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
So if anyone is looking for a flexible and cost-efficient platform for running containers on Google Cloud, then Google Cloud Run is great.
Source: humalect.com

Social recommendations and mentions

Google Cloud Run might be a bit more popular than Amazon EKS. We know about 89 links to it since March 2021 and only 70 links to Amazon EKS. 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 / 2 days ago
  • Comparing the Top 10 Managed Kubernetes Providers (2025 Edition)
    Amazon EKS Deep AWS integration (just bring your patience). - Source: dev.to / 14 days 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 / 4 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 / 5 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 / 6 months ago
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Google Cloud Run mentions (89)

  • Comparing Prices: AWS Fargate vs Azure Container Apps vs Google Cloud Run
    AWS Fargate, Google Cloud Run and Azure Container Apps offer services to deploy containers serverless in the cloud. The three providers are the biggest in the industry, but how do their prices compare? One thing all 3 providers have in common: Their pricing is pretty complicated and it can be hard to keep the overview. - Source: dev.to / about 2 months ago
  • Google Cloud Run vs Sliplane - Comparison of two container hosting services
    Google Cloud Run (GCR) and Sliplane both simplify deployment, management, and scaling of containerized applications. However, there are some key differences, and both platforms serve different users and use cases. Let's compare them side by side. - Source: dev.to / about 2 months ago
  • Why aren't we all serverless yet?
    >Something I’m still having trouble believing is that complex workflows are going to move to e.g. AWS Lambda rather than stateless containers orchestrated by e.g. Amazon EKS. I think 0-1 it makes sense, but operating/scaling efficiently seems hard. […] This isn't really saying anything about serverless though. The issue here is not with serverless but that Lambda wants you to break up your server into multiple... - Source: Hacker News / 4 months ago
  • Top 8 Docker Alternatives to Consider in 2025
    Google Cloud Run offers a serverless platform for running containers, providing automatic scaling and management of containerized applications. - Source: dev.to / 4 months ago
  • Day 3: What is Docker and why should I care?
    Most cloud platforms support Docker containers. Sliplane, Fly.io, AWS, Google Cloud, etc. This means that you can easily switch between cloud providers if you want to, without having to change your software. If you ever migrated from one cloud provider to another, you probably know how much work this can be. With Docker, you can just take your container image and run it on the new platform. - Source: dev.to / 5 months ago
View more

What are some alternatives?

When comparing Amazon EKS and Google Cloud Run, 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.

AWS Lambda - Automatic, event-driven compute service

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

Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.

Azure Container Service - Azure Container Service is a solution that optimizes the configuration of popular open-source tools and technologies specifically for Azure, it provides an open solution that offers portability for both users containers and users application configu…

Knative - Knative provides a set of components for building modern, source-centric, and container-based applications that can run anywhere.