Amazon EKS Reviews

We have integrated with IAM. We haven't used it in production now, but we are still in the research and development stage. We are planning to use the Amazon EKS hybrid solution by using our own data center virtual machine on our Amazon EKS clusters. A hybrid cluster would be a great solution for us since we have many resources here, and we want to utilize our cloud service. We are still in research and development solution. The only use case I can remember integrating IAM with Amazon EKS is the hybrid work for nodes.

We wanted to easily integrate our on-premise nodes with Amazon EKS to fully utilize the cloud service with our already persistent on-premise nodes. The major use case was that we wanted to host calls where the latency has to be in one digit. We can't have a call here in Mongolia jump from the Hong Kong AWS server and jump back to us. That would be a terrible experience for our users. We would have to implement the one-digit latency solution within our country, so we have to utilize the on-premise data center nodes. That was a bit of a challenge for us. Other than that, it's usually great.

For scaling our application, ensuring high availability and cost saving with Amazon EKS, the automatic load operation, no maintenance, and all features are really nice for our business.

In our old cluster, we were using on-premise Kubernetes. We had some downtimes here and there, with downtime being a monthly occurrence to our business. When we switched to Amazon EKS, we haven't faced any downtime in two years so far. That means no stop business growth for our type, and we can continue focusing on our business agility. The maintenance, configuration, and maintenance of our cluster has never been needed. We can update our Kubernetes cluster versions by just clicking one button. Before that, it was a long and tedious task. We would have to do it during nighttime operations. Operations are minimized and downtimes are non-existent now. Adding nodes and removing nodes are automatic so we could save costs there too.

The application supply chain integration has never been easier with Amazon EKS. We have integrated Amazon EKS into the CICD pipeline. Our developers are just pushing our code to our repository, and a few minutes later, it's deployed in Amazon EKS.

Mostly, it's just minimizing the manual preparations and increasing our business time with Amazon EKS so we can focus more on improving our applications and researching new ways to improve our business side. This means less time on the system side manual configuration and more time on making our applications better for our users.

We haven't fully utilized self-healing nodes in Amazon EKS yet. The self-healing nodes are still in our research and development stage. It is new we are using in production clusters.

We have been working with Amazon EKS for two years in our company now.

The Amazon EKS itself is great. We haven't had an issue with that.

We asked customer service regarding a wrong charge on our billing account, but I haven't initiated a request ticket, so I'm not very familiar with it. Our DevOps team had started the process. We reached out to them before.

It was really positive. The customer support was nice, informative, and very helpful.

Positive

I think it's reasonable. The EP two nodes are a bit expensive on the side. Other than that, Amazon EKS is pretty reasonable for its price.

We researched the pricing and how much it would cost in a month, so we are aware of the pricing.

Other than Amazon EKS, there's also GKE, the Google solution, and the Microsoft Azure solution and also OpenShift. We considered Amazon EKS because it's the most popular and widely available one. We opted for Amazon EKS because most of our engineers are familiar with the AWS environment.

We will apply it because it's easy to get out. We can easily integrate it in your application. It also has the most documentation out there. I would advise it.

Currently, we are just following the best practices with Amazon EKS. We follow the usual best practices or workflow with Amazon EKS and load balancing.

In comparison, the latency is a bit high with Amazon EKS. When we were researching about a year ago, Google offers almost forty milliseconds delay to Mongolia, as Amazon EKS in Hong Kong offers sixty milliseconds delay. That was the only downside from not choosing Google over Amazon EKS. Other than that, Amazon EKS has a lot of services.

On a scale of 1-10, I rate Amazon EKS a nine out of ten.

Hybrid Cloud

Amazon Web Services (AWS)

My usual use cases for Amazon EKS are for my company's projects, as they instructed us to set up Amazon EKS and then deploy the applications.

I use Amazon EKS mainly for my company's projects, where we deploy applications according to company requirements.

The features and capabilities of Amazon EKS have proven to be valuable, as we use EKS in most of our projects. Our company has selected AWS as one of our three cloud preferences, which are AWS, GCP, and Azure.

The specific features I find most useful in Amazon EKS include the ability to deploy our applications directly using the pipeline file in YAML, the capacity to create multiple instances, and the capability to scale as per the requirement.

Amazon EKS's self-healing nodes help minimize administrative burdens in my organization by automatically creating a new node if any node crashes, allowing us to manage only the minimum and maximum nodes as needed.

To use Amazon EKS, we create the cluster first, and then we deploy the applications using the YAML file.

I have not used the automated patching feature for my Kubernetes clusters in Amazon EKS yet.

I think if new features, especially AI capabilities, are developed for Amazon EKS, it will enhance the product as it allows us to continually improve our applications.

I have been working with Amazon EKS for the past three years.

I participated in the initial setup and deployment of Amazon EKS.

My impression is that Amazon EKS is very stable and reliable as a product.

I have not noticed any outages, delays, or downtime with Amazon EKS; everything operates smoothly.

Amazon EKS is easy to evaluate in terms of scalability; we can auto-scale easily as needed.

I would rate the scalability of Amazon EKS as a nine out of ten.

I do not often communicate with the technical support of Amazon EKS as I have not needed their assistance.

For our work with Amazon EKS, we utilize the available documentation and guides, which are useful for understanding and starting with any AI tool or prompt.

I am satisfied with the documentation that Amazon offers.

Neutral

Amazon EKS was my first Kubernetes platform. Prior to that, I had only used Minikube locally, and after that, I have worked exclusively with Amazon EKS.

During the setup process for Amazon EKS, I set it up locally by configuring AWS config, and then I focused on the necessary setups like kubectl.

To start working with Amazon EKS, I first configure it with AWS, install kubectl, and then begin working after creating the cluster.

I chose Amazon EKS to work with because I have not yet started using GCP's or Azure's Kubernetes services. I have experience only with Amazon EKS so far.

I have only worked on one application in Amazon EKS, so I haven't fully developed it. I have only deployed the front end, and I think I need to gather more knowledge about EKS.

The interface of Amazon EKS is very good, but I prefer to use the CLI for creating clusters. I initially used the UI just once to understand everything before starting to create using the CLI only.

On a scale of one to ten, I rate Amazon EKS a nine.

Public Cloud

Amazon Web Services (AWS)

There are migration projects where we need to migrate some on-premise services to Kubernetes. In that case, we have used Amazon EKS to migrate our workload. There are two production services that we need to deploy on the cloud, so we chose to use Amazon EKS to deploy them on the servers.

There are multiple node clusters that we have within Amazon EKS. We have different node groups that we have used. Some of them are high performance, some have high-speed hard disks, and some have high CPU. There are multiple node groups that we have provisioned and also enable the scaling within the pod level and within the cluster level. There are multiple features that we have used along with node management.

For streamline, we need to apply GitOps within Amazon EKS. Whenever there is a commit in the deployment-related stuff, we need to deploy the new image on the image repository, and from there, we need to update the kubectl YAML files with the new image tag. We can also choose the Helm charts based, and we can also choose Argo CD for the automated deployments.

We have implemented two things with Amazon EKS. First of all, OIDC-based connectivity between the AWS services to the Kubernetes workload. Additionally, we implemented RBAC. We have used RBAC to provision IAM users to have proper security and a constrained environment so that read-only users can only read the things.

We have used Amazon EKS Anywhere for on-premises deployments, and within Amazon EKS, it has an air-gapped environment where we can deploy the things and manage the local type of Kubernetes.

Managing the production workload in Amazon EKS is highly valuable. It has many features, for example, self-healing, automatic deployment, rollouts, and better management. It is an Amazon managed service, so we need to just focus on the cloud itself.

We have installed Prometheus and Grafana within our Amazon EKS, and we have used DataDog operators as well to have proper production workload management and monitoring management system. We can see the logs, alerts, and everything related to it. We have integrated Slack and email addresses through SES. This is how we are monitoring our production workloads and get alerts based on problems within our production.

The main benefits from using Amazon EKS include it being a well-tested product that we can use to deploy our workload. Its management system is very efficient. We can deploy things very easily and resolve our issues efficiently. It has deep AWS integration and a managed control plane. It has built-in IRSA-based security model for IAM roles. We have flexibility and portability. We can use Helm, Argo CD, Flux CD, Istio, and Linkerd. We can use multiple EC2 machines, such as spot instances and Graviton-based instances that are GPU-powered. These features help us use Amazon EKS for our production environments.

I would appreciate seeing integration between the other services in Amazon EKS. For example, there are now more managed Prometheus and managed Grafana services available last year. I would appreciate knowing more about how AI-based services get integrated with Amazon EKS and what kind of AI automation, healing, or troubleshooting services Amazon will introduce in upcoming releases.

I have been working with Amazon EKS for three to four years.

The setup of the Amazon EKS environment is quite fairly simple, and we can easily automate them using Terraform as well.

Once everything is set and done, there is no maintenance required, which is a very good point.

I did not see any crashes, downtime, or performance issues with Amazon EKS.

We have enabled the cluster-level enablement and auto-scaling in Amazon EKS, and that helped us significantly. Whenever we have peak time, it will automatically manage the node for us, and there are more nodes to manage our workload.

For a few of the cluster upgrades that got stuck, we connect with Amazon tech support, as we have business support with Amazon. We connect with them, and we figure out the problem. They help us to troubleshoot the issue, and we run commands related to Cordon or Taint. With this, we complete our upgrades process.

On a scale of one to 10, I would rate the technical support and customer service of AWS as eight to nine. They are very technical, and they can easily fix things within 20 to 30 minutes.

Positive

I worked with on-premise Kubernetes, and I also worked with Azure Kubernetes, AKS.

I have worked extensively with Amazon EKS, and I have automation scripts ready. Whenever a new client comes to me, I request them to see my previous portfolio, and I show them my Amazon EKS work and how quickly I can set up their Amazon EKS and run the CI/CD so that their workload can get migrated to Amazon EKS. It is quite easy for me now to advocate for Amazon EKS.

We have a big business up and running in Amazon, and we have different AWS accounts: dev, test, and prod. Based on that, there is a root account who is paying the prices for us. The workload and the profit that we are getting, we are satisfied with what it is offering.

The pricing of Amazon EKS depends upon the node group that we are choosing and what kind of auto-scaling that we have implemented. It is totally dependent on those things, including what kind of network bandwidth that we are consuming.

I find the pricing of Amazon EKS reasonable. We actually are going to pay a yearly advanced payment, which helps us save on cost.

Amazon EKS has strong integration with its services. In Azure Kubernetes, it does not have strong, deep integration with its services, for example, Active Directory, Azure Registry, Azure Monitor. Both have their managed control plane and node management. Amazon EKS has a different pricing model - it is per cluster control plane level, whereas AKS is not on the control plane fleet's history. Regarding security, Amazon EKS provides IRSA-based, IAM role-based security, whereas AKS provides directory, Azure Active Directory.

It is a very well-known product, and there are many clients in the market who are using Amazon EKS, so it is the best service offered from AWS. I rate it a nine out of ten.

At the moment, whatever is required in Amazon EKS is already there.

Public Cloud

Amazon Web Services (AWS)

I have been working in my current field since I work in the cloud, and I worked for AWS and for Amazon EKS because all of my customers are using Amazon EKS or application container solutions.

My use cases for Amazon EKS involve working for an AWS partner, one of the biggest in LATAM, where we have many customers or clients around the world with different solutions. I have a client that had many applications in Amazon EKS, and I had the full administration of the cluster. I manage not only networking, pods, or resources but also security, monitoring, the billing for the expenses, access to the cluster, and to the AWS account. I think that is a big field that I can handle within Amazon EKS.

What I appreciate most about Amazon EKS is that I use tools such as Datadog for monitoring and reporting, and if I have a problem with the cost, I use Prometheus, Grafana, and Loki, as this Prometheus package is cheaper than Datadog. I use Helm to install packages or applications, making it easier and secure to install, uninstall, or update them. I also use Argo CD for CI/CD workflows. In general, these are the main package solutions that I use for Amazon EKS.

Regarding the downsides of Amazon EKS, I remember a case where I used a network add-on different from what is provided by AWS because the pods request one IP address for each pod. The solution had many pods, and the blocks in the VPC were limited. I didn't have enough addresses to assign to the pods, and I had to change the add-on to handle the IP address using another third-party solution not from AWS. This was one of the first challenges I encountered with Amazon EKS.

Since then, AWS still hasn't fixed this issue or given me an opportunity to use the IPs that I needed.

Basically, the problem was that we did not have enough IP addresses for the pods, and we had to change the network add-on in Amazon EKS.

I have been using Amazon EKS in my career for three and a half years since I worked in the cloud.

It took me approximately one month to learn how to use Amazon EKS. The tricky part was implementing Amazon EKS cluster completely from Terraform, as creating all of the resources is challenging. If you create the cluster from the AWS console, many resources are created behind the scenes, but in Terraform, you must create each resource one by one, which was quite difficult. Overall, it took about one month.

Regarding stability, I have not experienced any lagging, crashing, downtime, or instability with Amazon EKS. I think that Amazon EKS, and Kubernetes in general, is stable. I have had problems with billing because it's expensive, but not with stability.

When it comes to scalability, I use Carpenter with Amazon EKS because it is a tool that offers significant granularity for configuration, and it works really well and fast. The inherent scalability of Kubernetes is not the best for me based on resources, but Carpenter works really nicely.

I have contacted the technical support of Amazon EKS when I had issues with the IP addresses, and they helped me solve it by installing another network add-on. On a scale from 1 to 10, I would give the support of Amazon EKS a nine because it was nice and fast.

Positive

I have used a direct alternative to Amazon EKS, which is ECS in AWS. I have many clients using ECS, Elastic Container Service, which is the native service for containers in AWS. It's not the same as Amazon EKS; it's another orchestrator, but it works fine when your application is not big.

The initial deployment with Amazon EKS was easy, but I remember that my first deployment was done with a YAML file, just using kubectl. I used kubectl run and the YAML file, and after that, I learned about Argo CD, which made the process much easier.

Amazon EKS does require maintenance on my end. Last year, Kubernetes had many updates, which was a difficult task. This is why I use Helm to install all of the applications in the cluster. If the application is built for you, you can create the Helm chart for this application and install it using this tool. I think that is the best option when you need to update the cluster. I know that AWS now offers many new applications add-ons included in the console, making it easier, but I still think that maintenance is one of the most complicated aspects of the cluster.

On a scale of 1-10, I rate Amazon EKS a nine.

Public Cloud

Amazon Web Services (AWS)

We are going to be using Lambda on the AWS Stack. We are migrating all our on-premises applications to AWS.

Eggplant is going to be on the AWS platform soon. We are using Lambda functions and CloudWatch for monitoring. We are also using Elasticsearch and ELK.

After we move all the applications to the cloud, we're going to move them into Amazon EKS as containers for easy management. It would be the same as how we are using EC2 instances, but in this case, we're going to move all applications to run on containers, Amazon EKS containers.

We use it for common file sharing across applications. I'm not really sure about all aspects as I didn't use it much. We just set it up to make sure all applications can read. The main capability is allowing different applications to access the same file or resources at the same time, providing collaboration capabilities.

The whole platform is easy because once you set it up, it's easy to onboard applications. It's easy to troubleshoot, run multiple clustering, log management, and perform troubleshooting. You can also install other applications, third-party applications, integration, and all that.

It helps with having dedicated nodes for certain functions. If you want to segregate the work instead of using all the nodes, you're able to align and assign which node processes specific applications, jobs, pods, or runs certain pods.

It reduces the deployment time, setup time, configuration time, and is cost-effective. It's very highly scalable.

The main challenge is at the beginning when you're still learning how to set up. The initial setup and knowing how to do it the first time can be challenging.

We had some challenges with the network pods. There were several pods that we had to try plugins for network, and the load balancing for the application we were deploying was quite difficult to manage.

The documentation should be easier to understand for beginners. It needs to be straightforward and easily grouped together because information tends to be scattered.

Some features required a lot of command line changes, especially setting up ingress and load balancers. If there could be a way to do that on a GUI, that would be easier. Having more configuration options on the UI, especially for setting up load balancers and ingress controllers, would be beneficial.

We have been using the solution for three months.

Currently, we haven't really automated the deployment. We are using Jenkins for our work.

Microsoft tools are being used in the bank.

We haven't experienced any scalability issues.

The support is quite friendly and very helpful. The Amazon support is very helpful and very responsive.

Positive

The main challenge is at the beginning when you're still learning how to set up. The setup and knowing how to do it the first time can be challenging.

I can recommend using it to save costs and for faster deployment, better performance, security, and easy clustering. It's easy to set up, manage, and monitor because when it goes down, it's easy to identify issues. Troubleshooting is straightforward, unlike other applications where you have to do a lot of digging to find the root cause. With this solution, you can see problems directly on your dashboards.

Public Cloud

Amazon Web Services (AWS)

I am an end user of Amazon EKS. As a software engineer, we are using Amazon EKS as a platform for deploying our applications.

The most valuable features of Amazon EKS that I have found include scalability, simplicity in operations and management, and some great features for optimizing cost. Those are probably the main advantages.

Speaking about scalability, it basically means that we are able to scale our workloads according to our needs, which is useful. Regarding cost optimization, sometimes infrastructure in AWS might be a little bit expensive, so having some functionality to get it more manageable and to have some cost reduction solutions in place is always useful. Additionally, not only Amazon EKS but the Kubernetes platform itself is a very popular platform, and many developers are familiar with it, making it convenient for the company to use. It is much easier for our developers to get any information about solving problems and developing applications because information is widely available.

I have seen a positive impact from Amazon EKS for my organization since deployment; it provides a very robust and cost-effective platform for deploying our applications. The Kubernetes platform is well known and widely available, which means there is a lot of information about it. Since it is a manageable solution, it removes a lot of the burden and headache of managing our own cluster on bare-bone hardware. While we do not rely heavily on Amazon infrastructure, I understand that if someone were to rely on it heavily, it would be much easier to integrate with Amazon EKS.

In my opinion, Amazon EKS could improve its plugin management; while Amazon offers some improvements, they often come at an extra cost. Compared to Google, for example, having the same cluster in Google Cloud is much easier because it hides all the complexity of managing Kubernetes add-ons and plugins. EKS is improving in this area, but it could still be smoother and better. Upgrade management is also a constant concern because EKS frequently forces users to upgrade, which can be inconvenient due to the risks involved in introducing something new, especially at the platform level.

I have been working with Amazon EKS for probably two or three years.

It is hard to say how Amazon EKS's self-healing nodes help me minimize administrative burdens since we have not had any issues with them in a Kubernetes environment. The Kubernetes platform provides capabilities to replace nodes, and everything just goes smoothly under the hood.

We do not use Amazon EKS's automated patching feature for our Kubernetes clusters.

Amazon EKS's support for AWS tools integration has not influenced my application development and management process much; we do not rely on any specific AWS features.

I do not often communicate with Amazon EKS technical support and customer service.

I have reached out to Amazon EKS support a few times in my previous project where we had a subscription plan for support, but in the current project, we have no business support.

My impression of Amazon EKS support is generally positive; my experience depends on the person on the other side, but the vast majority of cases involved very professional and skilled engineers. However, there was one instance where I was not completely satisfied with the answers received. Overall, I would rate them eight out of ten.

Positive

Before Amazon EKS, we used a different solution, specifically ECS and Elastic Container Service, and we still use it alongside offerings from other cloud vendors such as Google, as well as self-hosted clusters.

I personally participated in the initial setup and deployment of Amazon EKS. The setup process for Amazon EKS is fully automated, as we use Terraform for bootstrapping and managing our infrastructure, so there are no issues at all. Everything was straightforward with no challenges. The only thing I can remember, which is relevant for the previous question, is that when creating a Kubernetes cluster in the AWS web console, it does some changes under the hood, such as creating a default role for authentication. However, doing it through command line tools or automation with Terraform requires some manual steps, which is not very convenient.

I would like to optimize the Amazon EKS setup process in the future, but we probably will not take action because creating a new cluster is a rare task for us. Spending an extra 15 minutes on manual steps probably would not be worth the effort of full automation.

I do not have any metrics to measure the impact of Amazon EKS on my organization's ability to manage complex workflows efficiently.

I am aware of the pricing of Amazon EKS. I do not consider Amazon EKS an affordable solution; it is not cheap for sure, but it depends. For a small project, such as a personal project or a proof of concept, the cost is fairly noticeable. However, for a full production setup, I think the cost is manageable.

The main advantage for us in choosing Amazon EKS is the AWS infrastructure and the cloud ecosystem, including databases and compute instances, which is probably even more important than Amazon EKS itself.

I have not utilized Amazon EKS's integration with IAM.

I do not really integrate Amazon EKS with other AWS services; our current application would work with any Kubernetes platform, whether it is Amazon EKS, Google Cloud, or any other self-hosted Kubernetes cluster, most likely with some minor tweaks.

We do not use any specific Amazon EKS APIs or functionality, so I do not have anything to share about integration capabilities.

My personal rating for Amazon EKS is six out of ten, as it really depends on personal preference.

Public Cloud

Amazon Web Services (AWS)

I use Amazon EKS for creating users, depending on the project I've worked on. I use it to update config maps and for role binding in the Kubernetes cluster. Additionally, I use it for creating namespaces and accessing different clusters, such as dev clusters.

Regarding integration with IAM in Amazon EKS, I use it primarily for creating IAM users and managing permissions for users.

While I cannot specify a single favorite feature in Amazon EKS, I particularly value the user creation and config map functionalities. Both processes are straightforward - creating users and updating the config map are easy tasks.

The main benefit of using Amazon EKS is that it makes work more efficient and enables faster delivery.

The main area for improvement in Amazon EKS relates to master node control. When setting up a Kubernetes cluster independently, you have access to the master, but with AWS, you do not have control over it.

The support team of Amazon EKS is excellent and very helpful. I have never experienced any issues with them.

Positive

We briefly used Google's solution before switching to Amazon EKS. After that brief period, we have exclusively used AWS.

For the initial setup of Amazon EKS, we typically follow established guidelines. In most cases, we are not responsible for creating it directly. We work through our Jira and Confluence systems, completing assigned tickets and projects rather than setting up the system from scratch.

The pricing of Amazon EKS varies depending on the size and specific requirements of individual companies or clients. Many companies choose AWS because of its competitive pricing. The prices are considered fair by most users.

On a scale of 1-10, I rate Amazon EKS a 9.

Amazon Web Services (AWS)

We are currently using Amazon EKS as a production environment where we deploy multiple services because we serve banks using our services for identifying threat analysis and synthetic identity. Our main use case for Amazon EKS involves deploying our services based on scoring to determine whether a particular user is valid or invalid based on their social security number and any fraudulent entity they provide. We analyze this information and use Amazon EKS as the platform for deploying that application. We mainly deploy applications using Kubernetes deployments, and based on that, we deploy pods which contain the container that runs the application.

Amazon EKS helps us manage these deployments for threat analysis and synthetic identity because the controller part is managed by AWS. This addresses our concern about managing it ourselves, as we are managing a large environment where Amazon EKS ensures we can confidently manage our application rather than relying solely on the controller. We have implemented Karpenter, which manages the nodes and continuously monitors to see if any nodes or pods are underutilized or unable to load. It identifies the requirements from the pod side, automatically creates a node, and schedules the pod based on its resource needs. This automation allows us to respond quickly, especially during high load times when pods may get stuck or unable to upload images. The alerts help us react promptly, and another pod will be scheduled to fulfill the user's request within seconds.

The best feature Amazon EKS offers is automation, particularly with the automatic scheduling of pods on nodes. Karpenter, the new feature added recently that manages the node initialization, is something I really appreciate as it makes independent decisions based on the requirements, unlike older autoscaling configurations. Karpenter prioritizes cost-effectiveness by selecting the cheapest options for nodes, whether they are spot instances or on-demand. Additionally, whenever there is an issue, the pod can be automatically recreated using the defined replica set, providing a significant advantage of Kubernetes.

Karpenter helps keep costs down by consistently evaluating whether it should take on-demand instances or lower-cost alternatives. It constantly monitors for the lowest price model available in AWS. However, because the cheapest instance can be terminated with little notice, Karpenter quickly transitions to the next available on-demand instance. This proactive cost management is a key feature.

Amazon EKS has positively impacted my organization as Kubernetes offers orchestration of container-based applications, allowing us to rapidly deploy and fulfill user requests. During busy business days or promotional offers, we experience increased traffic, and Amazon EKS enables quick deployment of containers to meet this demand. If a pod is unresponsive, Amazon EKS can easily launch another pod to maintain service delivery. This adaptability not only enhances user service but also contributes to cost savings since we leverage Karpenter to manage nodes dynamically based on usage.

Since I joined this company ten months ago, we have reduced the number of failures significantly. Earlier, before using Karpenter, issues with pods hindered our efficiency and resulted in higher costs, as we did not have the option to minimize expenses effectively. Now, with Karpenter, costs have decreased and our efficiency has improved because we can swiftly address alerts and redeploy applications without delay. This transition has greatly improved our operational performance.

After adding Karpenter to our Amazon EKS setup, we have seen efficiency improvements of approximately thirty to forty percent, along with a reduction in our costs and a decrease in the number of issues our team encounters.

In my experience with Amazon EKS, I have not encountered aspects that require improvement, as AWS has invested intelligently in its development, especially with the addition of Karpenter. I do not have any particular improvement feedback for Amazon EKS or Kubernetes at this time.

I have been working in my current field for the last ten months. In terms of my total experience, I have been using Amazon EKS for the last three years, and in my current company, I have been using it for the last ten months.

Amazon EKS is stable in my experience.

Customer support for Amazon EKS is excellent, particularly at the enterprise level, as we can readily raise tickets and receive prompt responses. This interactive support is incredibly useful, allowing for quick resolutions and solutions through live sessions and screen sharing.

Positive

I have been using Amazon EKS since I started. Although I know about Docker Swarm, it poses issues for large environments like ours, which is why we opted for Amazon EKS.

We evaluated Docker Swarm before choosing Amazon EKS, as it is not well-suited for expanded environments and long-term deployments, making Amazon EKS the clear choice based on insights from my seniors.

I have experienced a return on investment with Amazon EKS. Since implementing Karpenter, costs have been reduced and operational efficiency has increased. We can deploy applications swiftly, and our monitoring tools such as DataDog alert us to any pod issues so we can act quickly. This responsiveness enables us to focus on critical issues that require our immediate attention.

I appreciate the overall pricing model of AWS, where you pay based on usage, which allows for a clear understanding of costs associated with services. The setup cost is reduced significantly since Amazon EKS simplifies the laborious process of arranging the controller plane, which typically requires substantial human resources and effort. Licensing is straightforward, making it easy to start using the service.

I would certainly recommend using Amazon EKS due to its managed services, which alleviate the complexities of controlling the Kubernetes cluster. The scalability features ensure issues with any pods are managed effectively by automatic relaunch processes, maintaining desired states. Karpenter's cost-efficient design is another highlight worth noting for anyone looking to balance container orchestration with spending.

Amazon EKS has proven to be an exceptional product, particularly as it gains popularity due to its scalability and rapid application deployment capabilities, benefiting organizations across various sectors. This review has been rated nine out of ten.

Public Cloud

Amazon Web Services (AWS)