Amazon EKS Reviews

We use this solution for containerization and push containers into the EKS or CI/CD pipeline in the DevOps pipeline. It's very easy and well-managed for autoscale as we can manage our node groups. In addition, we can tailor autoscaling to our needs.

Amazon EKS with AWS is very good because we can connect our AWS Kubernetes Services with our CI/CD pipelines. We can integrate our EKS with our CloudWatch and Grafana, and other monitoring services are also available. We can also monitor as per our requirements.

The best solution is in AWS, in Elastic Kubernetes Services. We have general control if we want to give access to any user. Also, whenever we push a container or image, we can create any ingress and then connect to our cluster by the Load Balancer directly.

It is very easy, and we can deliver access to customers or users. Also, we can autoscale for any deployment or compute service. In addition, the control panel is completely managed by AWS, and we only have to think about a data plan and what type of deployments, services, and DaemonSets we need.

The main area of improvement is that a cluster is required on-premises, which takes a lot of time. For example, we must drain the total nodes during an upgrade from version 1.21 to version 1.22 with on-premises. After draining the total nodes, our container will shut down, and it will be recreated after upgrading. But with the AWS Kubernetes Services, the upgrade from version 1.21 to 1.22 is completed with one click. It's straightforward for the users.

In any secure services, nodes are working on the EC2 services. Whatever the EC2 services, the specified AMI is available. This AMI is an auto-security package that is automatically upgraded per the company's need. It is also secure.

We have used this solution for one year and use versions 1.15 to 1.22. It is deployed in the public cloud only, in AWS. We were initially working on an on-premises basis of Kubernetes and started working in Elastic Kubernetes in AWS. It is a managed service, and its control panel is managed in AWS. We have to work for our data plan only.

We have about 20 users pushing their container to Elastic Kubernetes Cluster. Most companies want source codes like Python, Node.js, and Java and push them to the Elastic Container Services. It makes it easy for the CI/CD pipeline to build and push images to Elastic Kubernetes Services. We recently started the containerization in Elastic Kubernetes Services.

Regarding technical support, we have the job, role, and responsibilities within our company.

If there is an issue, we must determine whether the solution is working correctly or not. We check if our node group has more or less workload than we need and if the autoscale is defined correctly. We can degrade these instances per our requirement if the node group is less. We added Grafana and Prometheus to monitor the total CPU, memory, and nodes. We can monitor requests, CPU utilization, and whether our node is behaving correctly or if we need any more memory. We also look for any issues with the HTTP request or time out.

The calculation of the pricing is dependent upon instance type. So when we make a cluster without defining any instance type, it will default enter a large instance type. So as per our requirement, we can create our node group and define our instance types per our workload.

I rate this solution a nine out of ten. Amazon EKS is the best service because it has proper security packages and manages AMI. Also, I'm working on GCP and have seen GKE services. With Amazon EKS AWS, we can do a lot of integration with our Kubernetes Cluster.

Amazon EKS is for storage, services, and infrastructure. We have about 100 to 120 users on Amazon EKS right now. We'll likely expand by 10 or 15 percent in the next year depending on our customer needs. 

AWS cloud services are flexible and have thorough documentation. AWS also has data centers all over the world.

I would like Amazon EKS to be easier to configure on various environments like Windows or Linux installations

I've been using Amazon EKS for five years.

We use AWS in parallel with other cloud service providers from different vendors, like Azure and GCP. We are not the end customer. It's something we use to deliver services to our customers. We work with a wide range of technologies at the company, which employs around 500 plus people. They work with all major technologies currently available.

Installing Amazon EKS is straightforward. It depends on what needs to be done, but it's not something that takes weeks to deploy. You can do it in a few hours or days. I would need to have a specific scenario to be precise because the steps vary in each installation.

I would like Amazon EKS to be cheaper. Otherwise, it's fine.  

I rate Amazon EKS eight out of 10. 

Amazon EKS is basically a model provided by Amazon that allows you to create and deploy multiple microservices and manage containers. Once the Kubernetes is installed, we can directly create the container, set up ports, and set up new services. We currently have Java containers running.

We have more than 500 people using this solution. We are on version 21.

I like the scalability they're currently providing. Integration was very easy. It was a good experience. 

The connectivity could be better.

I have been using Amazon EKS for more than two years.

It's stable enough. We have had network connectivity issues twice. We weren't able to figure out what went wrong there, and it caused a problem initially. When we restarted it, it began working again.

The scalability is good.

We have called technical support a couple of times. We had an issue with integration with Lambda. But we took the help of AWS and it was resolved.

We have also used the IBM private cloud, but it wasn't user friendly.

Setup can take half an hour to an hour.

For deployment, our technical team was made up of 15 people.

My company paid for the license. 

I would rate this solution 8 out of 10.

I would definitely recommend this solution. It's a very good application, and the scalability is very good.

The primary use case for Amazon EKS involves microservices and micro frontends.

The most valuable features of Amazon EKS are its scalability features.

There is room for improvement in the interface of Amazon EKS. Additionally, they are involved in activities like pipeline management, pod checking, and error logging, which could suggest areas for further improvements.

I have more than three years of experience working with Amazon EKS.

I would rate the stability of Amazon EKS ten out of ten, indicating it is highly stable.

I would rate the scalability of Amazon EKS an eight out of ten, suggesting it has high scalability.

I do not have experience contacting Amazon's technical support.

I was not involved in the setup of Amazon EKS.

I would recommend Amazon EKS to other people for various reasons. That said, I also rate this solution seven to eight out of ten overall.

We use Amazon EKS as an APM tool for the environment while migrating the monolithic architecture to microservices architecture. It helps us to test product functionality in a particular environment.

We don’t have to manage a bunch of infrastructure. Additionally, enabling auto-scaling for both outgoing and node work helps us optimize the cost. It has valuable monitoring and insights features as well.

The product’s pricing needs improvement.

We have been using Amazon EKS for more than three years.

It is a stable product.

We have 200 Amazon EKS users in our organization. It is a scalable product.

The initial setup process takes a few minutes to complete. It requires a team of seven executives to work on the deployment.

The product generates a return on investment with the help of OpEx and CaPEx licensing models.

Amazon EKS is expensive.

I rate Amazon EKS a nine out of ten.

We have a service hosting platform, and we use Amazon EKS for hosting web services.

The most valuable features of Amazon EKS are its auto scaling ability and the ability for service discovery.

Amazon EKS's vulnerability management of data could be improved. Also, concerning vulnerability and version upgrades, many more things could be pulled into the control plane rather than keeping it in the data plane and having the users figure out how to upgrade their portions.

I have been using Amazon EKS for five years.

Amazon EKS has good stability.

Amazon EKS's scalability is very low. Quite a few people are using the solution in our organization.

We had no issues contacting Amazon EKS's technical support and usually got the necessary support. However, as with any Kubernetes installation, only the control plane is covered by Amazon, not the data plane. So if there are issues on the data plane side, Amazon cannot be of much help.

Amazon EKS’s initial setup was moderately easy. Amazon EKS's deployment was fast. We took the help of an automated deployment system, and the deployment was done in a couple of minutes.

We have seen a return on investment with Amazon EKS.

Amazon EKS’s pricing is ok compared to its competitors.

Amazon EKS is a good platform to use, but scale up before you start deploying in industrial quantities.

Overall, I rate Amazon EKS an eight out of ten.

I only use it to define multi-tenants and define infrastructure.

Our company has around ten people using Amazon EKS off-site and on-site.

I like its auto-scale feature very much. Moreover, it is easy to determine my course of action with many features available on EKS. However, I do have some concerns with Microsoft Edge. Overall, I find EKS to be a valuable solution.

The managed services of Amazon EKS could be improved. The system should have a closed-loop feedback mechanism to address any issues that users may face.

Moreover, the overall stability of the product should be improved to prevent any loss of data.

I have been working with Amazon EKS for two years now, and mainly use the Command Line Interface (CLI) version.

It is a stable solution.

It is a scalable solution for our services.

The response time of customer service and support is quick.

Positive

The initial setup is easy. I had some errors initially, but they were easy to terminate.

Our in-house team deployed it. It only took three days to set up and run a big infrastructure.

I would like a cheaper version of it.

Amazon EKS is good for managing and providing various services, and for using and mapping user content.

I would rate it a nine on a scale of one to ten.

We mainly use EKS for containers. We use Kubernetes for scalable deployments.

We're using EKS because our customers requested it. They wanted autoscaling functionality. We have our own product, and we deploy it for our customers in Amazon cloud.

The containers are built, registered, and then kept in a repository at the docker site. Our IT department has an account there. From there, it's exposed and we use the Amazon template surveys and cloud formation template. Then, our IT team creates CFTs. The scripts are run, and the containers are deployed from there.

It's a hybrid solution.

EKS provides autoscaling functionality.

I started using EKS about eight months ago.

It's reasonably stable. EKS is used with Fargate.

From what I understand, it's scalable. I haven't heard of any issues.

Setup depends on what kind of architecture you have.

It depends on the script that's prepared. Once the script is done, just one person is needed for deployment.

We have an internal team that takes care of deployment. They're a specialized team.

I would rate this solution as eight out of ten.

My advice is that not every architecture can fit into EKS. You have to really evaluate whether EKS is suitable for the kind of design and architecture you have. Evaluate it first and then attempt it.