Devops Topic

Courses:

• Docker
• Kubernetes
• AWS: Elastic Beanstalk
• AWS: Lambda

Docker Course

Add to this branch: https://github.com/enkidevs/curriculum/pull/823

Standards

identify-docker:
	name: Identify the purpose, uses, and main components of Docker
	description: This standard covers identifying what Docker is used for, where in the stack Docker resides, it's purpose in an organization, and the role of the major components.
	objectives:
		0: Identify the role of Docker
		1: Distinguish the major components of docker and explain their purpose
dockerfiles:
	name: Write Dockerfiles to encapsulate the build process of an application
	description: This standard covers writing Dockerfiles, their syntax, the usage of the different components of the dockerfile, and automation within dockerfiles, and the accurate translation of build processes.
	objectives:
		0: Identify and Analyze the syntax of Dockerfiles
		1: Configure a Dockerfile with an image from the Docker Image Repository
		2: Configure a Dockerfile with an image from a private repository
		3: Configure a Dockerfile to accept Arguments
		4: Add execution steps to a Dockerfile
		5: Move files using a Dockerfile command
		5: Expose ports within a Dockerfile
		6: Use environment variables within a Dockerfile
		7: Use Docker commands to execute the installation steps of an application
		8: Translate the build of an existing application with build documentation into a Dockerfile
		9: Use a Dockerfile to configure the migration of schema to the database server from a pre-built image
		10: Use a Dockerfile to add data to a database server from a data source
		11: Use Docker to containerize and run batch processes
run-docker:
	name: Use Docker to build and run applications
	description: This standard covers using the Docker CLI and other tools to build and run docker images
	objectives:
		0: Use a Dockerfile to build an image
		1: Run an image in a container
		2: Run an image in multiple containers
		3: Use environment variables to run a container in different deploy phases
		4: Use labels to distinguish between environments
continuous-integration:
	name: Use a Continuous Integration (CI) tool with Docker to automate the deploy process
	description: This standard deals with building and sending docker images to a cloud service using a continuous integration platform.
	objectives:
		0: Use Docker with a Continuous Integration tool to automate test runs
		1: Use Docker and a Continuous Integration tool to automate the deploy process

Workouts

docker: 
- What is Docker ✅ 
- Docker Platform ✅
- Docker CLI ✅
- Dockerfile ✅

containers
- Containers ✅
- Container Philosophy ✅

images
- Images ✅
- Image registries ✅
- Image Tags ✅
- Volumes ✅
- Bind mounts ✅

networking
- Networks ✅
- Docker DNS ✅

Kubernetes Course:

Standards

kubernetes:
	name: Use Kubernetes to define the parameters of an application topology
	description: This standard deals with configuration of deploys using Kubernetes to orchastrate containers
	objectives:
		0: Use Kubernetes pod monitoring commands to check the health and other attributes of a pod
		1: Use Kubernetes to label pods and and operate on a group of pods with the same label
		2: Use Docker to build and run a container locally using Minikube
deploy-kubernetes:
	name: Use Kubernetes to deploy an application to a cloud hosting provider
	description: This standard deals with configuring kuberenetes to deploy with a cloud hosting provider
deploy-kubernetes-google-cloud:
	name: Use Kubernetes to deploy to Google Cloud
	description: This standard deals specifically with deploying to Google Cloud, using Kubernetes
	objectives:
		1: Identify kubernetes control interface elements in the google developer console
		0: Use Google Cloud to deploy kubernetes pods to Google Kubernetes Engine cluster
deploy-kubernetes-aws:
	name: Use Kubernetes to deploy to Amazon Web Services (AWS)
	description: This standard deals specifically with deploying to Google Cloud, using Kubernetes
	objectives:
		1: Identify kubernetes control interface elements in the aws developer console
		0: Use AWS to deploy kubernetes pods to AWS Kubernetes Engine cluster