Pick a path based on what you want to learn. Each one starts with the basics and links to hands-on tutorials you can try in your own lab.
Linux and the Command Line
Start here if you are new to servers
Build confidence with the Linux basics every DevOps engineer relies on, before moving on to automation and containers.
What you will learn
- Files, directories, permissions and users
- Processes, services and disk usage
- Everyday shell commands for server administration
Scripting and Automation
Automate the tasks you repeat
Use code to automate everyday work. Begin with small scripts and grow them into tools you use every day.
What you will learn
- Python for automation and data handling
- Go for building infrastructure tools
- Configuration management with Ansible
Containers and Kubernetes
From your first container to running clusters
Learn how containers work, then see how Kubernetes runs and scales applications. Practise everything in a lab cluster.
What you will learn
- Docker images, containers and Dockerfiles
- Pods, Deployments, Services, labels and RBAC
- Cluster operations: upgrades, etcd backup and troubleshooting
Cloud and Delivery Tools
Connect your skills into a real workflow
Put the pieces together: cloud infrastructure, version control and pipelines that take code from commit to production.
What you will learn
- AWS infrastructure, including EC2
- Version control with Git
- CI/CD pipelines with Jenkins
Kubernetes Certifications
Prepare for CKA, CKAD and CKS
Follow a structured study plan with hands-on tasks that match the exam syllabus, then book your exam with a verified discount.
What you will learn
- Step-by-step CKA study guide
- Hands-on practice tasks for each exam topic
- Verified Linux Foundation exam discounts
Troubleshooting and Reference
Quick help for a specific problem
Stuck on an error? Find step-by-step fixes and handy cheat sheets you can keep open while you work.
What you will learn
- Common Linux and Kubernetes errors, explained
- Step-by-step fixes you can follow
- Cheat sheets for everyday commands
Coming soon
We're currently building and testing these paths in our own lab. New guides will be added soon, explained step by step in a simple, practical way.
MLOps
Coming soonRunning machine learning on Kubernetes
What we are working on
- Deploying and serving ML models on Kubernetes
- GPU scheduling and autoscaling for inference
- Monitoring models in production
AIOps
Coming soonUsing AI in day-to-day operations
What we are working on
- How AI is changing DevOps work
- Anomaly detection and smarter alerting
- Automated troubleshooting and remediation
Tip: Before running commands, check the article date, software versions and prerequisites. Try unfamiliar or destructive commands in a test environment first.