Linux Professional Institute DevOps Tools Engineer
Robust DevOps processes don't end with deployment. Systems must be deployed automatically, configured consistently, and monitored during operation so that errors and deviations are detected early.
- Git and Jenkins for Source Code Management and CI/CD
- Docker and Kubernetes for container infrastructures
- Vagrant, Cloud-init, and Packer for system deployment
- Ansible for automated configuration management
- Prometheus for monitoring running systems
- Logstash and the ELK Stack for centralized logging and error analysis
Prerequisites
Solid foundation in Linux fundamentals, as well as knowledge of system administration and networking.
Target Audience
DevOps engineering, Linux and system administration, cloud operations, and developers with operational responsibilities.
This covers the entire DevOps toolchain—from source code through infrastructure and deployment to the monitoring of live operations.
- Modern Software Development
- Components and Platforms
- Source Code Management
- Continuous Integration (CI)
- Continuous Delivery (CD)
- Git
- Jenkins
- Deploying Containers
- Deploying Containers
- Orchestrate containers
- Container Infrastructure
- Docker
- Docker Swarm
- Kubernetes
- Deploy Virtual Machines
- Deploying cloud systems
- Creating system images
- Vagrant
- Cloud-init
- Packer
- Ansible
- Configuration Management Tools
- Operation
- Monitoring
- Log Management
- Log Analysis
- Prometheus
- Logstash
- ELK Stack
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
- These include, among others, Git, Docker, Vagrant, Ansible, and Jenkins, as well as tools for monitoring, deployment, and automated infrastructure.
- Automation reduces manual work during builds, tests, deployments, and infrastructure management, and ensures repeatable, reliable processes.
- Containers enable reproducible application environments and simplify deployment and operation. Docker is therefore one of the key DevOps technologies.
- Infrastructure is defined, versioned, and deployed automatically via code. This ensures that changes remain traceable and can be reproduced.
- Git manages changes to the source code. CI/CD processes access this information and then automate builds, tests, and the deployment of applications.
- Yes. It is particularly relevant when Linux administration needs to be more closely integrated with automation, containerization, version control, and modern deployment processes.
- Practical knowledge of Linux and basic experience with software development or system administration are helpful for understanding how the various tools fit together.
They are well-suited for roles in DevOps engineering, system administration, cloud operations, software development, and build, release, and deployment automation.