Amazon EKS Reviews

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.

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.

Our primary case is using Amazon EKS with all of our data in our MapReduce, map clusters, and our data clusters. And from there, we just input the information using Python and do our analysis using that.

We have problems with setting up virtual environments and installing the right packages. I believe the initial setup could be a better experience and faster customer support.

I have been using Amazon EKS for the past one and half years now.

The stability is excellent.

The scalability is not a problem we currently have five to six thousand employees using Amazon EKS.

Technical support or customer support is good but could be faster.

For us in our company, it is a very straightforward process because they had built a layer that is very useful for the users with just a couple of clicks. But normally, if you ask me in person, I think it is a bit cumbersome.

It can be done in-house but they have to read a lot of documentation from the AWS provider in order for it to make sense.

When you compare it to on-premises it is much better because, with on-premise, we have to look into data security and all these items. Amazon EKS eliminates that and becomes a cost-benefit for us.

On a scale of one to ten, I would give it a six. With the correct technical support individual, you can do well with implementation. If you are not sure about the technical support side for implementation I would wait until you are ready.

We are using EKS for crypto exchange. 

We chose this solution because with crypto exchange you need high performance and easy manageability. It offers highly available architecture, and with two or three Linux servers it distributes all containers through the Linux systems. If that's what you're looking for, it's a really good solution. It also allows for integrating their infrastructure as service capabilities. 

The only important thing that needs to be improved is the EKS dashboard. It could be more user-friendly. 

We've been using this solution for about six months. 

The solution is stable. 

The solution is very scalable. 

We're very happy with the customer support. 

The initial setup was average in terms of complexity. We have one very good system admin person in our company, he has a lot of experience and carried out the deployment. We are still in a testing environment, so there are only around 15 users. We have around a million users and eventually they'll all be using it. 

We pay a monthly licensing fee which is quite high but they do provide good service.

I rate this solution eight out of 10. 

Our primary use case for Amazon EKS is for running production workloads. The microservices-based modules are broken down and then hosted using EKS.

The most valuable feature to us is orchestration when it comes to deploying. The main ideology behind Kubernetes is that you are breaking down your application into smaller modules. Instead of having a monolithic application, you make it a microservices-based module. Using an e-commerce website as an example, we would break down login's as a single module, registration as a single module and then in the event of an issue one does not impact the other. 

With your small modules, in most cases, they share a backend, and that's how at the service layer you connect them by using an API gateway or a service mesh. This ensures scalability and they don't have any dependencies when it comes to failures. This means you can easily scale and optimize. 

For now I can't suggest any improvements or additional features, the features we currently use we are very happy with. 

We have been using Amazon EKS for 8-9 months.

The Kubernetes solution has been very stable for us, there are no issues to report on that aspect. 

The beauty of Kubernetes is that you can scale it. You just have to define the workload and the scalability capability is managed itself. We just need to define the number of bots or services we want to run and it manages to scale up when needed. 

We have found Amazon to be quite responsive. We have experienced some minor issues and the response time was good. 

With regards to setup, you would need to have a basic understanding of Kubernetes and how it works before you start deploying your production workloads. Once we started working with Kubernetes and got hands-on experience there was not much hassle to roll out to production workloads.

There is no up front licensing cost, as this is a cloud based solution you pay-as-you-go.

The advice I would offer on Kubernetes is with the configuration of your applications. Some are compute-extensive, some are compute-optimized. If you don't configure this correctly it can lead to deadlocks. The compute power has to be enough when it comes to your applications. Some applications need more memory, for example, e-commerce sites need a good response time. In this example, you would want to configure a memory-based application.