The SRE Learning Platform is an open-source hub designed to help IT engineers effectively prepare for the CKA (Certified Kubernetes Administrator), CKS (Certified Kubernetes Security Specialist), and CKAD (Certified Kubernetes Application Developer) exams. Additionally, this platform offers invaluable hands-on experience with AWS EKS (Elastic Kubernetes Service), equipping users with practical insights for real-world applications. Whether you're aiming to validate your skills, boost your career prospects in Kubernetes administration, security, application development, or delve into AWS EKS, this platform provides hands-on labs, practice tests, and expert guidance to ensure certification success.
- Prepare for the CKA: Certified Kubernetes Administrator Exam
- Enhance your skills for the CKS: Certified Kubernetes Security Specialist Exam
- Excel in the CKAD: Certified Kubernetes Application Developer Exam
Master Kubernetes concepts, gain practical experience, and excel in the CKA, CKS, and CKAD exams with the SRE Learning Platform.
Requirements
- GNU Make >= 4.2.1
- terrafrom >= v1.6.6
- terragrunt >= v0.54.8
- jq >= 1.6
- aws IAM user + Access key (or IAM role ) with Admin privilege for VPC, EC2, IAM, EKS
- AWS CLI > 2.2.30
- aws profile
Or you can run via docker ( video instruction )
Repository Structure
The repository is organized into the following sections:
- Makefile - File contains scenarios for launching hands-on labs and mock exams.
- tasks - Directory contains lab scenarios and mock exam scripts.
- terraform - Directory contains modules and Terraform environments.
- environments - Directory contains terragrunt (terraform) environments.
- modules - Directory contains terraform modules.
About CKA, CKS, CKAD scenarios
- the platform uses aws to create following resources : vpc, subnets, security groups, ec2 (spot ), s3
- after you launch the scenarios the platform will create all the necessary resources and give access to k8s clusters.
- to create clusters the platform uses kubeadm
- you can easily add your own scenario using the already existing terraform module k8s_self_managment
- k8s_self_managment module supports versions:
k8s version : [ 1.21 , 1.29 ] https://kubernetes.io/releases/
Rintime :
docker [1.21 , 1.23]
cri-o [1.21 , 1.29]
containerd [1.21 , 1.29] # cks, cka default 1.29
containerd_gvizor [1.21 , 1.29]
OS for nodes :
ubuntu : 20.04 LTS , 22.04 LTS # cks default 20.04 LTS
CNI : calico
- change backend_bucket ( region , backend_region optional ) in terraform/environments/terragrunt.hcl :
Every command should be run from the project's root directory.
CMDB
make cmdb_get_env_all- get a list of all resources in CMDBUSER_ID='myuser' ENV_ID='01' make cmdb_get_user_env_data- show all created resources of user myuser in environment 01USER_ID='myuser' ENV_ID='01' make cmdb_get_user_env_lock- show all lock resources of user myuser in environment 01USER_ID='myuser' ENV_ID='01' make cmdb_get_user_env_lock- show all lock resources of user myuser in environment 01USER_ID='myuser' make cmdb_get_user_env_lock- show all lock resources of user myuser in all environmentUSER_ID='myuser' make cmdb_get_user_env_data- show all data resources of user myuser in all environmentCMDB_ITEM='CMDB_data_myuser_02_k8s_cluster1' make cmdb_get_item- getting detailed information about CMDB_data_myuser_02_k8s_cluster1 resource.
CKA
TASK=01 make run_cka_task- create cka hands-on labs number 01TASK=01 make delete_cka_task- delete cka hands-on labsTASK=01 make run_cka_task_clean- run cka_task with clean terragrunt cache for cka_taskmake output_cka_task- show outputs from cka_task
CKAD
CKS
TASK=10 make run_cks_task- create cks hands-on labs number 10TASK=10 make delete_cks_task- delete cks hands-on labsTASK=10 make run_cks_task_clean- run cks_task with clean terragrunt cache for cks_taskmake output_cks_task- show outputs from cks_task
HR
EKS
TASK={lab_number} make run_eks_taskcreate hands-on labmake delete_eks_taskdelete eks lab cluster
DEV
make lintrun linter on the project
CKA hands-on lab
- choose a hands-on lab number
- create cka lab cluster
TASK={lab_number} make run_cka_task - find {master_external_ip} in terraform output
- log in to master node via ssh
ssh ubuntu@{master_external_ip} -i {key} - check init logs
tail -f /var/log/cloud-init-output.log - read lab descriptions in
{lab_number}/README.MD - check solution in
{lab_number}/SOLUTION.MD - delete cka lab cluster
make delete_cka_task - clean cka lab cluster
.terraformfoldermake clean_cka_task
mock CKA exam
Video instruction for launching CKA mock exam
- choose a mock exam number
- change instance type from
spottoondemandin{mock_number}/env.hclif you need - create mock CKA exam
TASK={mock_number} make run_cka_mock - find
worker_pc_ipinterraform output - connect to
worker_pc_ipwith your ssh key and userubuntu - open questions list
{mock_number}/README.MDand do tasks - use
ssh {kubernetes_nodename}from work pc to connect to node - run
time_lefton work pc to check time - run
check_resulton work pc to check result - delete mock CKA exam
make delete_cka_mock - find exam solutions in
{mock_number}/worker/files/solutions)and * Video for mock 01 . - find exam tests in
{mock_number}/worker/files/tests.bats)
CKS hands-on lab
- choose CKS lab number
- change ami_id in
{lab_number}/scripts/terragrunt.hclif you changed region - create cka lab cluster
TASK={lab_number} make run_cks_task - find {master_external_ip} in terraform output
- log in to master node via ssh
ssh ubuntu@{master_external_ip} -i {key} - check init logs
tail -f /var/log/cloud-init-output.log - read lab descriptions in
{lab_number}/README.MD - check solution in
{lab_number}/SOLUTION.MD - delete cks lab cluster
make delete_cks_task - clean cks lab cluster
.terraformfoldermake clean_cks_task
mock CKS exam
Video instruction for launching CKS mock exam
- choose a mock exam number
- change ubuntu_version in
{mock_number}/env.hclif you need - change instance type from
spottoondemandin{mock_number}/env.hclif you need - create mock CKS exam
TASK={mock_number} make run_cks_mockorTASK={mock_number} make run_cks_mock_cleanif you'd like to run with clean terragrunt cache - find
worker_pc_ipinterraform output - connect to
worker_pc_ipwith your ssh key and userubuntu - open questions list
{mock_number}/README.MDand do tasks - use
ssh {kubernetes_nodename}from work pc to connect to node - run
time_lefton work pc to check time - run
check_resulton work pc to check result - delete mock CKS exam
make delete_cks_mock - find exam solutions in
{mock_number}/worker/files/solutionsmock 1 solutions and video - find exam tests in
{mock_number}/worker/files/tests.bats
mock CKAD exam
Video instruction for launching CKAD mock exam
- choose a mock exam number
- change ubuntu_version in
{mock_number}/env.hclif you need - change instance type from
spottoondemandin{mock_number}/env.hclif you need - create mock CKAD exam
TASK={mock_number} make run_ckad_mockorTASK={mock_number} make run_ckad_mock_cleanif you'd like to run with clean terragrunt cache - find
worker_pc_ipinterraform output - connect to
worker_pc_ipwith your ssh key and userubuntu - open questions list
{mock_number}/README.MDand do tasks - use
ssh {kubernetes_nodename}from work pc to connect to node - run
time_lefton work pc to check time - run
check_resulton work pc to check result - delete mock CKAD exam
make delete_ckad_mock - find exam solutions in
{mock_number}/worker/files/solutionsmock 1 solutions and video - find exam tests in
{mock_number}/worker/files/tests.bats
mock HR exam
Video instruction for launching HR mock exam
- choose a mock exam number
- change ubuntu_version in
{mock_number}/env.hclif you need - change instance type from
spottoondemandin{mock_number}/env.hclif you need - create mock CKS exam
TASK={mock_number} make run_hr_mockorTASK={mock_number} make run_hr_mock_cleanif you'd like to run with clean terragrunt cache - find
worker_pc_ipinterraform output - connect to
worker_pc_ipwith your ssh key and userubuntu - open questions list
{mock_number}/README.MDand do tasks - use
ssh {kubernetes_nodename}from work pc to connect to node - run
time_lefton work pc to check time - run
check_resulton work pc to check result - delete mock CKA exam
make delete_hr_mock - find exam solutions in
{mock_number}/worker/files/solutionsmock 1 solutions and video - find exam tests in
{mock_number}/worker/files/tests.bats
EKS hands-on lab
- choose labs number
- create hands-on lab
TASK={lab_number} make run_eks_task - find
worker_pc_ipinterraform output - log in to worker_pc node via ssh
ssh ubuntu@{worker_pc_ip} -i {key} - read lab descriptions in
{lab_number}/README.MD - check solution in
{lab_number}/SOLUTION.MD - delete eks lab cluster
make delete_eks_task
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