Managed kubernetes hosting is a platform for running containerized applications. Containers, in a nutshell, encapsulate a program in a way that makes it portable and easy to deploy. At least one control plane and one worker node make up a Kubernetes cluster (typically, these are physical or virtual servers, respectively). The control plane, on the other hand, has two basic responsibilities. It controls the nodes that make up the cluster and exposes the Kubernetes API through the API server. The control plane makes cluster management decisions as well as detects and responds to cluster events.

Please keep in mind that the smallest unit of operation for a Kubernetes application is the Kubernetes Pod, which is made up of one or more containers. Worker nodes run Kubernetes Pods.

KUBERNETES PRICING

Order K8s NOW - One time payment - $50

How to migrate to our K8s?
  1. Add code to Git.
  2. Build Docker image for every service you run.
  3. Upload Docker image to any public or private docker registry.
  4. Set up an automatic Docker buildup on Git update to dev, stage or production clusters.
  5. Declare containers (deployment) and network (service) scheme and dependencies in YAML manifest. Be sure to write in one or more containers for every service (docker image optional with version). Create a network for every container group, allow internet access to your front-end services, and describe the process of creating and connecting storage for variable data. Also you can describe: monitoring, services recovery scripts, health-check, readiness check, affinity node bindings, load balancing, autoscale etc.
  6. Allow access to our cloud in your Docker-registry.
  7. Download kubectl app with configuration for cloud management.
  8. Apply your .yml manifests with kubectl and all your servers will be running in our cloud in few minutes.
  9. You can use our DNS or check the IP addresses of your services with kubectl or via web interface.



BENEFITS OF KUBERNETES

  • K8s containers allow for quick application development and deployment.
  • Continuous integration, deployment, and development
  • Separation of interests between development and operations
  • Observability
  • Consistency in the environment during development, testing, and production.
  • Portability of cloud and operating system distribution
  • Management based on the application
  • Isolation of resources, high efficiency, and full use
  • Auto-scaling in response to use needs
  • Management of the entire lifecycle being able to go back in time, pause, and resume deployment
  • Self-healing and resilience
  • Storage that lasts
  • Support for DevSecOps load balancing. DevSecOps is a cutting-edge security methodology that streamlines and automates container operations across clouds, integrates security across the container lifecycle, and helps teams to create secure, high-quality software faster. Developer productivity is improved by combining DevSecOps methods with Kubernetes.


How does it work?
  • You can store your code in Docker image OR store it in Git and build Docker automatically (for example using GitLabCi or Jenkins) on every update.
  • You have a separate Docker image for each version of your code or configuration. This will allow fast rollback and make deploying dev environments easy.
  • Describe the configuration of your entire infrastructure in one or more YAML files.
  • Create nodes (virtual or physical servers) to run Kubernetes on. You can launch several containers on one node. Container’s resources are always limited by node resources. To change cluster resources, you need to add or remove nodes using the web interface or API.
  • With any infrastructure update you need to update the .yml file configuration using the kubectl utility and the cloud will do the rest.