Google Kubernetes Engine and Amazon EKS are both key players in the cloud container orchestration space. Google Kubernetes Engine appears to have an edge in seamless integration across multiple cloud environments, making it ideal for diverse ecosystems, while Amazon EKS is often preferred for its robust orchestration capabilities and scalable microservices management.
Features: Google Kubernetes Engine offers robust autoscaling and effective infrastructure management, with seamless integration across various cloud environments. Its ease of deployment and comprehensive ecosystem support make it a standout choice for many businesses. Amazon EKS provides strong orchestration features that ensure easy scalability, supported by Kubernetes API compatibility for flexible operations.
Room for Improvement: Google Kubernetes Engine needs enhancements in security features and documentation clarity, with users expressing concerns about the consistency and enterprise-level support provided. Amazon EKS users wish for a more intuitive interface and improvements in managed services to align with usage expectations. Both platforms struggle with complex network configurations and performance tracking visibility.
Ease of Deployment and Customer Service: Google Kubernetes Engine is recognized for its swift deployment in public and hybrid cloud settings, though users have mixed experiences with customer support responsiveness. Amazon EKS supports similar deployment environments, but users often find Amazon's customer service more responsive and effective, though it may not offer the same level of documentation provided by Google.
Pricing and ROI: Google Kubernetes Engine is considered competitively priced, though additional costs for compute and storage can make it pricey, leading users to question the overall ROI. Amazon EKS, while equally seen as an expensive option, is appreciated for its comprehensive managed services, making it a valuable investment despite higher fees.
By migrating from AWS to Google Cloud Platform, we have saved a lot of time and money.
Having to know what questions to ask is essential.
Amazon's technical support is quite good, especially for those who purchase support services.
We have a paid subscription that provides priority support.
The ability to scale based on requirements by deploying additional containers is a strong point for Kubernetes.
It can scale very well according to needs, and it doesn't have any issues with scalability.
I would rate the scalability of Amazon EKS an eight out of ten, suggesting it has high scalability.
The autoscaling capabilities of Google Kubernetes Engine have significantly impacted our operations.
Simplifying these will enable more people, not just those with strong foundational knowledge, to work effectively with these services.
A UI could help generate config files, simplifying the process for developers who are not architects.
Currently, some third-party plugins, like certain network plugins such as CNI, Calico CNI, or Cilium, are not fully supported.
When looking at the web interface, it feels kind of slow due to the many features involved.
Log observability could be made easier so someone from high school can use it without having technological expertise.
It would be helpful if I could easily find log information in a particular namespace without needing to write certain labels.
The pricing structure is beneficial for large companies who pay for what they use, but it is not affordable for startups.
Google is considered cheaper compared to AWS, making it suitable for smaller to medium companies concerning cost.
The on-demand nodes are quite expensive.
The most beneficial aspect of Amazon EKS is that it helps manage the Kubernetes master node, so I don't need to maintain the master node, including tasks like upgrading.
It is possible to configure everything, monitor applications, and perform routing in pods, securing the application with whitelisting.
The built-in services ease management tasks, such as updates and security, leading to less manual monitoring and a more seamless deployment process.
The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team.
What I find most valuable is the ability to focus solely on my product without worrying about the Kubernetes infrastructure itself.
GKE is easier to understand and use than Elastic Kubernetes Service.
Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission critical applications because of its security, reliability, and scalability.
EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications. Third, EKS integrates with AWS App Mesh and provides a Kubernetes native experience to consume service mesh features and bring rich observability, traffic controls and security features to applications. Additionally, EKS provides a scalable and highly-available control plane that runs across multiple availability zones to eliminate a single point of failure.
EKS runs upstream Kubernetes and is certified Kubernetes conformant so you can leverage all benefits of open source tooling from the community. You can also easily migrate any standard Kubernetes application to EKS without needing to refactor your code.
Kubernetes Engine is a managed, production-ready environment for deploying containerized applications. It brings our latest innovations in developer productivity, resource efficiency, automated operations, and open source flexibility to accelerate your time to market.
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