Kubernetes on AWS vs. Google Cloud: A Comparative Analysis for Indian Tech Companies in 2025

In recent years, Indian tech companies have experienced a surge in adopting cloud computing and containerization due to the numerous benefits provided by these technologies. One of the key components of modern cloud infrastructure is Kubernetes, an open-source container orchestration system that automates management of containerized applications. When it comes to implementing Kubernetes, Indian tech companies have two prominent choices: Amazon Web Services (AWS) and Google Cloud Platform (GCP). Choosing between these two cloud giants is not a simple decision due to their diverse features and capabilities. This article presents a comparative analysis of Kubernetes on AWS and GCP for Indian tech companies in 2025.

Overview of Kubernetes on AWS

AWS offers an Enterprise-ready Kubernetes service known as Amazon Elastic Container Service for Kubernetes (EKS). EKS enables Indian tech companies to run Kubernetes clusters on the scalable infrastructure of AWS without requiring any serverless management. Some of its key advantages include:

Native Integration with AWS Services: AWS provides a seamless integration with other AWS services such as Amazon Virtual Private Cloud (VPC), Amazon Elastic Block Store (EBS), and Amazon Identity and Access Management (IAM), simplifying the deployment and management of Kubernetes applications.
AWS' global infrastructure allows users to automatically scale their EKS clusters to meet the changing demands of their applications, ensuring high availability and low latency. - EKS leverages the commonly used AWS Management Console, and supports tools like the AWS CLI and AWS SDKs, making it easier for users who are already familiar with other AWS services.

Overview of Kubernetes on GCP

Google Cloud Platform offers Google Kubernetes Engine (GKE), another fully-managed container orchestration service. GKE is built on the same Containerd and Kubernetes that are found in EKS, offering comparable features and benefits, including:

GKE brings enterprise-level security, reliability, and compliance by supporting the integration of Google's automated security, such as Host Projekt (Casewook); Key Logging; and enhanced role-based access control.
GKE offers persistent disks with support for both Kubernetes Deployment and Pod Disruption Budget, enabling applications that require persistent data to be supported reliably.
Using the Google Cloud SDK, developers can auto-scale based on workloads or custom metrics and roll out new container images without disruptions, enabling agile and continuous deployment.

Key Differences Between Kubernetes on AWS and GCP

Beyond their similarities, there are key differences between choosing Kubernetes on AWS or GCP for Indian tech companies. Therefore, before making a decision, it's crucial to consider factors such as cost, infrastructure requirements, developer experience, and integrations. Here are some disparities to consider:

AWS offers a free tier for users who want to experiment with EKS, and does not charge for instance usage during the free period, while GCP charges based on instance usage regardless of the free tier.
Both companies have different pricing models for their services, which may be the deciding factor for some Indian tech companies, such as AWS' managed node groups costing between $0.035 - $0.500 per hour versus GCP's workload management pricing at $0.050 - $0.700 per hour.
Companies considering using GKE might be more inclined to use GCP due to its superior integration with Google's AI and ML services and SDKs, as well as Google's more extensive portfolio of AI technologies, which can provide added value to its cloud services.

Selecting between Kubernetes on AWS and Google Cloud: Considerations for Indian Tech Companies

Choosing between Kubernetes on AWS or GKE for Indian tech companies in 2025 requires a thoughtful evaluation of business needs, technology stacks, and future requirements. Here are some points that might influence the choice:

If Indian companies have existing infrastructure and integrations (e.g., data, security, identity) already deployed on AWS, they might prefer using EKS for greater efficiency, while GCP may offer more advantages for those implementing new projects built on Google's AI and machine learning portfolio.
When choosing between two platforms, factors such as complexity and hassle-freedom play an important role. Indian companies must consider what platform suits their developers best, acknowledging the possibility that they may need to adapt working processes to be compatible with the chosen infrastructure.
The process of adopting or migrating an existing solution is always a complex decision for tech companies. Choosing the right platform should balance business goals with the architecture and limits of legacy solutions. For some Indian companies, this might mean quadrupling the team responsible for legacy solutions, while others might place the focus on processing the immediate business requirement into the new infrastructure or interfaces.

Conclusion

Indian tech companies in 2025 must carefully evaluate the relevance of Kubernetes on AWS and GCP to meet their ever-changing business requirements, infrastructure demands, and skill fitting into the development processes. Expertise in AWS or GCP is largely a testament to a company's ability to operate flexibly across different infrastructure landscapes. Each cloud provider offers its own set of numerous benefits, which makes it crucial for Indian tech companies to base their final decision on what best aligns their local market capabilities and growth goals.

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