Linux Professional Institute DevOps Tools Engineer

Price
Net: €
VAT: €

Price
Price on Request

Duration
5 days

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
Online Live

When deployments remain manual, configurations vary from one another, or errors aren’t detected until late in the process, the workload and operational risks increase. That’s why DevOps engineering relies on automation, standardized toolchains, and continuous monitoring throughout the entire software lifecycle.

Key Topics

  • Git for Source Code Management and Collaboration
  • Jenkins for CI/CD pipelines and automated processes
  • Docker and Kubernetes for containerized applications
  • Vagrant, Packer, and Ansible for Infrastructure as Code
  • Prometheus and the ELK Stack for monitoring, logging, and error analysis

Prerequisites
Solid foundation in Linux, as well as knowledge of system administration and networking.

Target Audience
Linux and system administration specialists, DevOps engineers, cloud professionals, and developers with operations responsibilities.

The combination of these technologies strengthens precisely the skills required for stable DevOps pipelines, automated infrastructure, and modern IT operating models.

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Course Content
  • Modern Software Development
  • Standard Components and Platforms for Software Development
  • Source Code Management
  • Continuous Integration (CI)
  • Continuous Delivery (CD)
  • Git
  • Jenkins
  • Container Usage
  • Container Deployment
  • Container orchestration
  • Container Infrastructure
  • Docker
  • Docker Swarm
  • Kubernetes
  • Deployment of Virtual Machines
  • Cloud Deployment
  • Creating system images
  • Vagrant
  • Cloud-init
  • Packer
  • Ansible
  • Configuration Management Tools
  • Operation
  • Monitoring
  • Log Management
  • Log Analysis
  • Prometheus
  • Logstash
  • ELK Stack

Frequently Asked Questions

  • Version control makes changes to code and configurations traceable. Git enables collaborative development processes, clear version histories, and controlled changes. This creates a reliable foundation for automated builds, tests, and deployments.
  • Infrastructure as Code replaces many manual configuration steps with automated processes. This allows systems to be created, modified, and documented in a reproducible manner. This reduces errors and simplifies the management of complex Linux and cloud environments.
  • Automated CI/CD pipelines shorten the path from a code change to deployment. Git, Jenkins, and containers enable standardized processes for builds, tests, and deployments and reduce repetitive manual tasks.
  • Docker is useful when applications need to run consistently regardless of the specific system environment. Containers bundle applications and their required dependencies, thereby simplifying development, testing, and deployment.
  • Configuration management ensures consistent and reproducible system states. With Ansible, for example, software installations, settings, and recurring administrative tasks can be automated and managed centrally.
  • Monitoring and centralized log analysis help identify errors, bottlenecks, and unusual system behavior. Prometheus, Logstash, and the ELK Stack provide key data for monitoring, analysis, and troubleshooting.
  • Automation reduces manual, routine tasks involved in installation, configuration, and deployment. Standardized processes save time, prevent inconsistent system states, and facilitate the reliable operation of larger Linux infrastructures.
  • DevOps skills are particularly relevant for roles in Linux administration, cloud operations, software development, platform engineering, and DevOps engineering. Practical skills in automation, CI/CD, containers, and monitoring are in high demand.

Do you have any further questions? Please contact us.