Shulou(Shulou.com)05/31 Report--

In this issue, Xiaobian will bring you about how to deploy Kubernetes clusters on AWS. The article is rich in content and analyzes and narrates from a professional perspective. After reading this article, I hope you can gain something.

At CoreOS, we try to deploy Kubernetes to production at scale. Today we share a tool: kube-aws, which makes it easy to deploy Kubernetes on AWS. kube-aws is a tool for deploying monitorable, renewable kubernetes clusters on AWS, currently used by CoreOS to create production clusters.

The way we now put Kubernetes components together is more manual. However, with this tool, Kubernetes can save time by pipelining, while minimizing interaction between programs and quickly creating production-ready deployments.

The simple template system is only used to generate cluster configurations as a set of version-controllable, monitorable, and redeployable declarative configuration templates. Since the entire provisioning is provided by AWS CloudFormation and cloud-init, there is no need for external configuration management tools on your end.

Why Kube-AWS? Because of its safety, monitorability and reproducibility

Kube-aws was designed with these three goals in mind.

Security: TLS resources are encrypted by KMS from AWS prior to embedding CloudFormation JSON. By managing the IAM protocol independently for KMS keys, operators can access TLS secrets and CloudFormation separately.

Monitorable: kube-aws are created around the concept of clustered resources. These configurations and these certificates represent a description of the entire cluster. Because KMS is used to encrypt TLS secrets, you can also check for unencrypted stack JSON at any time in version control.

Regeneration: The-export option packages parameterized clusters into a single JSON file that defines the CloudFormation stack. If desired, this file can be versioned directly and submitted directly to the CloudFormation API via existing configuration tools.

How to get started with kube-aws

On top of this, kube-aws implements a feature that makes Kubernetes easier to manage and more flexible to configure on AWS. Here are some examples.

Route53 Integration: Kube-aws manages the configuration of your cluster DNS records.

cluster.yaml

Existing VPC support: Deploy your cluster on top of an existing VPC.

cluster.yaml

Validation: kube-aws supports cloud-init and CloudFormation definition validation, as well as external resources that any cluster can consolidate. For example, here is a cloud-config with misspelled parameters:

userdata/cloud-config-worker

$kube-aws validate

>ValidatingUserData...

Error:cloud-config validation errors:

UserDataWorker:line4: warning: unrecognized key "interface"

Before you start, check out the kube-aws documentation: coreos.com/kubernetes/docs/latest/kubernetes-on-aws.html

follow-up

The goal with kube-aws is to get the product configuration ready. As we put kube-aws into production today on AWS, there are still a lot of areas where the project needs to be improved before version 1.0.

Fault Tolerance: Kubernetes on AWS is a powerful platform for fault tolerance and self-healing. Over the next few weeks, kube-aws will take on a new challenge: the control panel and all the other refinements.

Downtime-free updates: With the right instance replacement strategy, you can update CoreOS nodes and Kubernetes components without downtime and reduce dependencies.

The above is how to deploy Kubernetes clusters on AWS shared by Xiaobian. If you happen to have similar doubts, you may wish to refer to the above analysis for understanding. If you want to know more about it, please pay attention to the industry information channel.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.