Learn to Deploy Deep Learning Models Using Kubernetes

The platform for Kubermatic Kubernetes is an open-source, production-grade, cluster-management tool. It allows for automation and flexibility in the integration of the lifecycle management of a cluster as well as the ML/DL workflow.
Get Started
Before you deploy a model to your Kubernetes program, you need an installation of Docker and the creation of a container image of your model.
Containerization of the model includes the following steps:
Download and start Docker
Make a directory
Organize the dependencies and your code
Make a file for requirements. The .txt file should contain code to…

Orchestrate the Automation of Your Container in Kubernetes Using Ansible Modules

Ansible has proven itself the best in automation. Kubernetes is in the running for the best tool for container orchestration. A combination of the two programs allows you to automate your container in Kubernetes using Ansible modules.
Access Modules Using Kubernetes
Before you can access Kubernetes modules using Ansible, you must access a Kubernetes cluster. This is the simplest option. However, if it is not possible for you to do that, start a trial online. Trial accounts are only temporary.
Another alternative is installing Minikube, a local, single-node installation of Kubernetes. It allows you to interact and …

Create A Minecraft Server With Kubernetes And Helm Modules from Ansible

One of the best creations by Ansible is the Helm modules. The Helm is celebrated as modules that can progress rapidly and have a great impact. The impact is maximized with the ability to incorporate with Kubernetes.
Three Helm modules have been created to merge seamlessly with Kubernetes:
Helm_repository
Helm_info
Helm
The Helm modules are not entirely new to Ansible, however, Ansible 2.14 stopped working for a long time. The old version is available in the general community section. The new Helm modules are available in the collection of community Kubernetes.
What does Helm do?
Helm …