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Best Cloud Platform (AWS, GCP, Azure) for Deploying E-commerce Startup Application: EKS vs. GKE vs. AKS?

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I'm in the process of deploying my e-commerce startup application to the cloud and I'm seeking advice on choosing the best cloud platform among AWS, GCP, and Azure, as well as the optimal managed Kubernetes service (EKS, GKE, or AKS) for my specific use case.

Here's a bit of context:

  1. Application Overview: My e-commerce application is built using java, and it's expected to scale rapidly as we onboard more customers.

  2. Performance Requirements: High availability, scalability, and performance are crucial for our application, especially during peak traffic times.

  3. Budget Considerations: While we're willing to invest in the right infrastructure, cost efficiency is still a significant factor for us as a startup.

  4. Development and Operations Experience: We're looking for a solution that offers ease of management and maintenance.

Given these considerations, I'm torn between AWS, GCP, and Azure, and I'm also unsure which managed Kubernetes service would best suit our needs.

I'd greatly appreciate any insights, recommendations, or experiences from those who have deployed similar applications or have expertise in these cloud platforms and Kubernetes services.

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Hi,

While choosing between AWS, GCP, and Azure, I recommend also considering IBM Cloud. Here are a few reasons why:

  1. Performance and High Availability: IBM Cloud offers high performance and low latency with its global data centers.

  2. Kubernetes Service (IKS): IBM Cloud Kubernetes Service (IKS) provides an easy-to-manage and scalable Kubernetes environment.

  3. Security and Compliance: IBM Cloud ensures your e-commerce application’s security with robust security features and compliance certifications.

  4. Cost Efficiency: With flexible pricing models, IBM Cloud offers cost-effective solutions, especially for startups.

  5. Ease of Management: IBM Cloud’s user-friendly interface and automation features simplify management and maintenance tasks.

For these reasons, I recommend considering IBM Cloud as one of your options.

I hope this information helps you make your decision!
78550523
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Nobody can this with accuracy because it depends. I assume you dont have a very experienced senior devops person otherwise you would probably be asking him/her.

This raises a big point you should not forget about which is documentation and community e.g. number of stackoverflow entries or medium articles, which will help you to achieve what you want to do or already did what you want to do.

Since AWS is currently the biggest cloud provider, see here, chances are more people tried what you are doing on aws then on any other cloud. Their documentation is probably also more advanced.

But in the end it depends.
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AWS is the most mature cloud of all. The only problem that i see on it, is that they have too many options and sometimes is hard to decide which service or configuration fits on you. In AWS you have multiple ways to solve the same problem. Every trouble that you could find, AWS will have a service for solving it.

As second option, I would choose Google Cloud. It is simple and direct. It has the services needed to solve most problems you could have. If your application needs to interact with google ADs or other Google platforms, then Google Cloud is the best option because it usually has easy-to-use connectors. Also, for datalake/datawarehousing/data analytics, BigQuery is a beast, it has no rival. In my experience, Google is usually cheaper than AWS.

My experience with Azure wasn't good at all, but it was 4 years ago. Its security services didn't interact very well with each other and de Console was a little not user friendly. But I may just had a bad experience. I hope that Azure has fixed the issues I found years ago.
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Each cloud provider offers unique strengths and weaknesses. Let's break down their key features in relation to your needs:

AWS (Amazon Web Services)

  • Strengths: Extensive services, mature ecosystem, strong compute and storage options (EC2, S3), robust networking capabilities (VPC, Route 53).

  • Weaknesses: Can be complex for beginners, pricing can be intricate.

GCP (Google Cloud Platform)

  • Strengths: Strong focus on data analytics and machine learning, cost-effective pricing models, serverless computing (Cloud Functions), Kubernetes-native environment (GKE).

  • Weaknesses: Smaller ecosystem compared to AWS, less mature in some areas.

Azure (Microsoft Azure)

  • Strengths: Hybrid cloud capabilities (Azure Stack), strong integration with Windows-based environments, comprehensive security features.

  • Weaknesses: Can be more expensive than AWS or GCP for some services, less mature in certain areas.

Choosing the Right Managed Kubernetes Service: EKS, GKE, or AKS

Given your focus on scalability, performance, and ease of management, a managed Kubernetes service is a strong choice. Let's compare the options:

EKS (Amazon Elastic Kubernetes Service)

  • Strengths: Deep integration with AWS services, mature platform.

  • Weaknesses: Can be more complex to manage than GKE.

GKE (Google Kubernetes Engine)

  • Strengths: Strong Kubernetes support, excellent integration with Google Cloud services, cost-effective options.

  • Weaknesses: Fewer features compared to EKS in some areas.

AKS (Azure Kubernetes Service)

  • Strengths: Strong integration with Azure services, hybrid cloud capabilities.

  • Weaknesses: Can be more expensive than other options.

Recommendations

Based on your requirements, I recommend considering the following:

  • Cloud Platform: GCP seems to align best with your needs due to its strong Kubernetes focus, cost-effective pricing, and performance capabilities. However, it's essential to evaluate all three platforms based on your specific use cases and conduct cost-benefit analyses.

  • Managed Kubernetes Service: GKE is a strong contender due to its seamless integration with GCP and ease of management. However, consider evaluating EKS for deeper AWS integration if you anticipate using more AWS services.