Last but not least, there is a good article on topic.Р”Р„dditionally, there are some similar discussions on StackOverflow.

Additionally, there is a very comprehensive reading called kubernetes-the-hard-way by Kelsey Hightower. I think you might want to check kops tool. That could lead to devastating consequences.Р”Р„nother source has a giant process of having two to three EC2 instances, having one as master and other as slave with the same setup. Run your container on the cluster kubectl run hello-node -image gcr.

The setup looks quite fragile and you are not getting the main benefit of reliability. For AWS, you can also deploy your Docker using ECS interface, but IРІР‚в„ўll prefer to use Kubernetes as standard layer above all cloud providers.Overhead of maintaining such a setup (and bigger EC2 instance) can be bigger than the price of the managed solution (EKS).you are going to put more load on the node as Kubernetes (k8s. I see the following issues with this approach. Now, we are trying to implement Kubernetes in that EC2 instance to autoscale and load-balance the microservices deployed in Docker. If you have high-availability requirements, you might require a certain minimum number of nodes in your cluster. My development setup uses a microservices deployment in a Docker environment on an Amazon EC2 instance. So you aren't getting the benefit of rescheduling the workloads of failed nodes to other nodes. And in case you have only one node (with the cluster configuration database on it). For example, if you have only two nodes, and one of them fails, then about half of your pods disappear. If you have only a few nodes, then the impact of a failing node is bigger than if you have many nodes. On Azure Kubernetes Service (AKS), the default limit is 30 pods per node but it can be increased up to 250.On Google Kubernetes Engine (GKE), the limit is 100 pods per node, regardless of the type of node.On Amazon Elastic Kubernetes Service (EKS), the maximum number of pods per node depends on the node type and ranges from 4 to 737.Most managed k8s services even impose hard limits on the number of pods per node: Up to this number, Kubernetes has been tested to work reliably on common node types. K8s recommends a maximum number of 110 pods per node. Please keep in mind, that in addition to the pods requested by user, k8s runs a dozen of pods in a kube-system namespace (dns, kube-proxy, default-backend, etc, etc).Р”Р„dditionally, you have mentioned autoscaling, so there could be quite a lit of pods on that single node. It looks like that is at least 30 containers, thus most probably it'll translate to around 30 pods. I have 30 microservices running on docker. And you are trying to use it just to have autoscaling for pods. as told, k8s is designed for a massive load in a multi-node environment.you are going to put more load on the node as Kubernetes (k8s) itself provides some overhead.My development setup uses a microservices deployment in a Docker environment on an Amazon EC2 instance. However, it is not a 'best practice' if we are speaking about production.

AWS Batch lets you run highly-scalable batch processing workloads using Docker containers.Can I have Kubernetes setup on a master node alone and implement autoscaling and load balancing on that one node?Р”В¬an keep everything in a single EC2 instance where my microservices are? Amazon Elastic Container Registry (ECR) is a highly available and secure private container repository that makes it easy to store and manage your Docker container images, encrypting and compressing images at rest so they are fast to pull and secure. AWS Fargate is a technology for Amazon ECS that lets you run containers in production without deploying or managing infrastructure.Р’В Amazon Elastic Container Service for Kubernetes (EKS) makes it easy for you to run Kubernetes on AWS.Р’В AWS Fargate is technology for Amazon ECS that lets you run containers without provisioning or managing servers. There are a number of ways to run containers on AWS, including Amazon Elastic Container Service (ECS) is a highly scalable, high performance container management service.Р’В Customers can easily deploy their containerized applications from their local Docker environment straight to Amazon ECS. AWS provides support for both Docker open-source and commercial solutions.

Docker on kubernetes in aws