Practicing DevOps

For DevOps engineers, developers and other IT professionals who deal with Kubernetes in one way or another. The adoption level of this product is currently very high across various organizations, and an understanding of the nuances of how it works is often required.

Depending on the task, a dedicated algorithm inspects the resources of your Kubernetes cluster and compares your work against the required result

You will need solid foundational knowledge of Kubernetes, which we cover in the "Hands-on Kubernetes" course

The estimated time to complete this course is 40-60 hours. There are no fixed schedules; you learn at your own pace and always continue from where you left off.

We will! If something is unclear at any step, just ask. If some information is missing altogether, ask as well. We may add a new section.

Yes, you can. However, keep in mind that some tasks depend on one or more previous ones. In that case, you need to complete those first. For example, you can't run anything in the cluster if you haven't completed the first step (launching the cluster itself)

To begin with, this is not a classic course but a hands-on practicum. Theory is given in the context of tasks. Employers today don't particularly value graduates of well-known courses; what they need first and foremost is experience. And experience can only be gained through real work.

For aspiring system administrators, DevOps engineers and developers who want to learn the fundamentals of working with Linux and networking technologies.

A dedicated algorithm checks that commands are executed correctly, that configuration files are set up properly and that the result meets the task requirements

The course is designed for beginners. A basic understanding of how a computer works and a desire to learn new technologies is enough

The estimated time to complete this course is 20-30 hours. There are no fixed schedules; you learn at your own pace and always continue from where you left off.

We will! If something is unclear at any step, just ask. If some information is missing altogether, ask as well. We may add a new section.

Yes, you can. However, keep in mind that some tasks depend on one or more previous ones. In that case, you need to complete those first.

To begin with, this is not a classic course but a hands-on practicum. Theory is given in the context of tasks. Employers today don't particularly value graduates of well-known courses; what they need first and foremost is experience.

For DevOps engineers, system administrators and developers who want to learn modern approaches to managing infrastructure as code.

A dedicated algorithm checks that Terraform configurations are written correctly, that the infrastructure is created properly and that the result meets the task requirements

You will need basic command-line knowledge, an understanding of cloud platform fundamentals and basic skills working with configuration files

The estimated time to complete this course is 25-35 hours. There are no fixed schedules; you learn at your own pace and always continue from where you left off.

We will! If something is unclear at any step, just ask. If some information is missing altogether, ask as well. We may add a new section.

Yes, you can. However, keep in mind that some tasks depend on one or more previous ones. In that case, you need to complete those first.

To begin with, this is not a classic course but a hands-on practicum. Theory is given in the context of tasks. Employers today don't particularly value graduates of well-known courses; what they need first and foremost is experience. And experience can only be gained through real work.

For DevOps engineers, developers and system administrators who want to learn modern approaches to containerizing and managing applications.

A dedicated algorithm checks that Docker images are built correctly, that containers start properly and that the result meets the task requirements

You will need basic knowledge of the Linux command line and an understanding of how web applications work

The estimated time to complete this course is 15-25 hours. There are no fixed schedules; you learn at your own pace and always continue from where you left off.

We will! If something is unclear at any step, just ask. If some information is missing altogether, ask as well. We may add a new section.

Yes, you can. However, keep in mind that some tasks depend on one or more previous ones. In that case, you need to complete those first.

To begin with, this is not a classic course but a hands-on practicum. Theory is given in the context of tasks. Employers today don't particularly value graduates of well-known courses; what they need first and foremost is experience. And experience can only be gained through real work.

For DevOps engineers, developers and other IT professionals who want to learn how to automate the build, test and deployment of applications.

Depending on the task, a dedicated algorithm checks that the pipeline is configured correctly, that the configuration files are valid and that the CI/CD stages run successfully

You will need basic knowledge of Git, an understanding of Docker fundamentals and experience working with the Linux command line

The estimated time to complete this course is 15-20 hours. There are no fixed schedules; you learn at your own pace and always continue from where you left off.

We will! If something is unclear at any step, just ask. If some information is missing altogether, ask as well. We may add a new section.

Yes, you can. However, keep in mind that some tasks depend on one or more previous ones. In that case, you need to complete those first.

To begin with, this is not a classic course but a hands-on practicum. Theory is given in the context of tasks. Employers today don't particularly value graduates of well-known courses; what they need first and foremost is experience. And experience can only be gained through real work.

For developers, DevOps engineers and architects who want to learn modern approaches to building cloud applications and microservices.

A dedicated algorithm checks that your application complies with the 12-Factor App principles, that the CI/CD configuration is correct and assesses code quality

Basic programming knowledge (preferably Go, or a willingness to learn it), an understanding of web development fundamentals and working with the command line

The estimated time to complete this course is 10-15 hours. There are no fixed schedules; you learn at your own pace and always continue from where you left off.

We will! If something is unclear at any step, just ask. If some information is missing altogether, ask as well. We may add a new section.

Yes, you can. However, keep in mind that some tasks depend on one or more previous ones. In that case, you need to complete those first.

To begin with, this is not a classic course but a hands-on practicum. Theory is given in the context of tasks. You'll build a real microservices application, not just study theory.

For DevOps engineers, developers, system administrators and information security specialists who want to integrate security into the development and deployment processes.

A dedicated algorithm checks that security tools are configured correctly, that the WAF and network policy configurations are valid and that the result meets the task requirements

Basic knowledge of DevOps practices, an understanding of CI/CD processes, experience working with containers and basic knowledge of networking technologies

The estimated time to complete this course is 12-18 hours. There are no fixed schedules; you learn at your own pace and always continue from where you left off.

We will! If something is unclear at any step, just ask. If some information is missing altogether, ask as well. We may add a new section.

Yes, you can. However, keep in mind that some tasks depend on one or more previous ones. In that case, you need to complete those first.

To begin with, this is not a classic course but a hands-on practicum. Theory is given in the context of tasks. You'll gain real experience integrating security into DevOps processes, not just theoretical knowledge.

For aspiring DevOps engineers, system administrators and developers who want to understand the path to growing in the DevOps field.

Study the topics in order, check off the sections you've learned, and use it as a plan to prepare for DevOps job interviews.

We believe a basic roadmap should be available to everyone. It will help you get your bearings and choose your further learning path.

The roadmap shows the big picture, while our hands-on courses provide deep knowledge of each section: Kubernetes, Docker, Terraform, CI/CD and more.

The completion time depends on your level of preparation and your pace. On average the project takes 2-2.5 months.

• Basic knowledge of Docker and Kubernetes
• An understanding of CI/CD principles
• Experience working with Git
• Access to a cloud provider (AWS, Yandex Cloud, GCP)
• A computer with Docker, kubectl and helm installed

• Priority support by email
• Online meetings to work through difficult questions
• Detailed instructions for each stage
• Ready-made examples and configuration templates
• Code review of your solutions

Yes, absolutely! This project is specifically designed to showcase your skills to employers. You'll gain real experience with production technologies that you can include in your portfolio and discuss in interviews.

Don't worry! If you run into trouble, you can always reach out for help by email or request an online meeting to work through a specific problem.

The project is available only within the mentorship program. If you are already in the program, access will be granted according to the learning schedule as part of your tailored plan

• Kubernetes (Beginner): Pod in Pending state, CrashLoopBackOff, Deployment issues
• Kubernetes (Intermediate): Init Container Failure, Readiness/Liveness Probe Issues, OOMKilled, Service connectivity
• Kubernetes (Advanced): Volume issues, PVC expansion, HPA scaling, Pod Security Admission, NetworkPolicy
• Linux Server (Beginner): Disk space issues, IO intensive processes, DNS problems, directory permissions
• Linux Server (Intermediate): APT update issues, systemd service failures, file deletion permissions, zombie processes, nginx failures
• Linux Server (Advanced): Firewall connectivity, internet access issues, ACL permissions

• Real systems: Working with actual Kubernetes clusters and virtual machines
• Practical incidents: 28 real-world production problem scenarios (and the number keeps growing!)
• Interactive diagnostics: Step-by-step problem solving with result validation
• Personal environments: Each student gets an isolated environment for experiments
• Systematic approach: From simple problems to complex multi-faceted scenarios
• Automatic validation: A specialized algorithm checks the correctness of your diagnostics

• Kubernetes: kubectl, describe, logs, events, get, exec, port-forward
• Linux system: top, htop, iostat, netstat, ps, systemctl, df, du
• Network: ping, telnet, nslookup, curl, tcpdump, netcat
• File system: ls, chmod, chown, find, grep, tail, head
• Processes: kill, killall, pkill, jobs, fg, bg
• Monitoring: Analyzing logs, performance metrics and system events

The course is designed for different levels of preparation. The "Beginner" sections are suitable for those just starting to learn DevOps, while "Advanced" is for experienced engineers who want to deepen their diagnostic skills. The course is built on the principle of "from simple to complex" with real practical scenarios.

The course is available only within the mentorship program. If you are already in the program, access will be granted after reaching out to your mentor. There is also a solution for corporate clients for conducting technical screenings.

The course contains 28 practical incidents split by difficulty level. The time to complete it depends on your level of preparation.