Name: Review of Mirantis Kubernetes Engine
Item: Mirantis Kubernetes Engine
Rating: 4.8
Author: Verified Reviewer

Reviewed in Last 12 Months

How Alternatives Are Selected

1. Amazon Elastic Kubernetes Service (Amazon EKS)

By Amazon Web Services (AWS)

4.5

(276 Ratings)

We have been using Amazon EKS for more than 3 years now and can easily say that it has excellent stability. It also has predictable upgrade paths and seamless integration with AWS networking, IAM, and monitoring tools. Our cluster uptime has been excellent, and now failures tend to be isolated to misconfiguration rather than platform stability. I took a star off as I think it does take time and expertise to operate EKS efficiently, but not a lack of capability.

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Easier to integrate and deploy

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2. Amazon Elastic Container Service (Amazon ECS)

By Amazon Web Services (AWS)

4.6

(220 Ratings)

By running only portable workloads on containers, it helps prevent unnecessary server construction and promotes the use of containers within an organization as a common function.

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Where Azure Kubernetes Service (AKS) Scored Higher

Easier to integrate and deploy

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3. Google Kubernetes Engine (GKE)

By Google

4.4

(109 Ratings)

It has worked well; I like how easy the console is to use and the monitoring it allows me to do.

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Where Azure Kubernetes Service (AKS) Scored Higher

Better at service and support
Easier to integrate and deploy
Better evaluation and contracting

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4. AWS Fargate

By Amazon Web Services (AWS)

4.6

(100 Ratings)

With the deployment of AWS Fargate in the company, we have gained operational efficiency, we no longer have to worry about infrastructure management with our IT team, however this change entails constantly controlling and monitoring costs and the allocation of resources in containers.

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Where Azure Kubernetes Service (AKS) Scored Higher

Easier to integrate and deploy

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5. Huawei Cloud Container Engine

By Huawei

4.7

(67 Ratings)

We use Huawei Cloud CCE to support stateless front-end services, such as search and advertising. We mainly leverage CCE's elastic scaling capabilities to respond promptly to our tidal business requests, which greatly shortens our resource preparation cycle (from monthly to minute-level) and reduces business operation and maintenance costs by 30%. Huawei Cloud CCE is mature and stable overall, and the user experience has been greatly improved after several upgrades and optimizations, but the documentation needs further upgrades and optimizations.

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6. SUSE Rancher

By SUSE

4.6

(63 Ratings)

So, SUSE Rancher RKE2 (Rancher Kubernetes Environment for Government), as a purpose-built platform for regulated and security-sensitive environment, the opinionated hardened defaults fit well within our operations. Overall, RKE2 and Rancher provide one of the most stable and repeatable Kubernetes experiences available for government customers. Rancher simplifies our operational overhead of deploying, upgrading, securing, and managing Kubernetes at scale. The platform has consistently demonstrated reliability and predictability.

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Where Azure Kubernetes Service (AKS) Scored Higher

Easier to integrate and deploy
Better evaluation and contracting

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7. Portainer

By Portainer

4.6

(44 Ratings)

Portainer does the job it's built for, but it also isn't the best container management/orchestration platform out there. It handles building and deploying containers into your environment and supports deployment to remote environments, which is very convenient at scale. However, Portainer's UI/UX is clunky, and I find it easier to deploy out of CLI and YAML files instead of using Portainer due to Portainer's own unique methods of handling deployments.

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Where Azure Kubernetes Service (AKS) Scored Higher

Easier to integrate and deploy

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8. Cloud Run

By Google

4.5

(40 Ratings)

My experience with Google Cloud Run has been very positive, offering simple deployments, automatic scaling and reliable performance for a containerized React application. Provides reliable scaling and reduces operational effort to manage the infrastructure.

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Easier to integrate and deploy

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