Course Outline
Introduction
Overview of the Ansible Project's Core Capabilities and Architectural Design
- Examination of fundamental Ansible principles and operational concepts
- Initiating work with advanced Ansible syntax and integrated open-source utilities
Provisioning of the Ansible Environment and Configuration of Automation Assets
- Identification of system prerequisites for Ansible deployment
- Selection of the optimal operating system environment for installation
- Execution of foundational high-level commands via the Ansible Command Line Interface
Leveraging Open-Source Components and Features within Playbooks
- Implementation of Playbook elements to address advanced operational requirements
Management of Ansible Inventories to Support Complex Automation Processes
Facilitation of Data Exchange Between Ansible Tools and Target Systems
Comprehensive Application of Traditional Ansible Components and Ad-Hoc Command Execution
Implementation of Advanced Ansible Syntax and Adoption of Extensible YAML Standards
- Strategies for managing untrusted or raw data strings
Execution of String Transformation Techniques to Enhance Ansible Functionality
- Manipulation of complex data structures for administrative operations
Review of Open-Source Plugin Ecosystems within the Ansible Project
- Expansion of plugin capabilities to suit specific use cases
Refinement of Playbook Deployment Mechanisms within the Ansible Framework
- Comparison of Command Line Interface versus graphical interface execution methods
- Application of complex keywords and operation of intermediate CLI utilities
Administration of Optimized Ansible Component Utilization and Ad-Hoc Functions
- Establishment of best practices for loops, conditionals, and control structures
Mitigation of Playbook Errors and Configuration of Remote Task Environments
Reutilization of Configuration Artifacts and Regulation of Role Definitions in Ansible
Application of Dynamic Inventory Structures and Patterns
- Analysis of specialized tagging concepts and their practical implementation
Implementation of Extensible Connection Protocols and Management of Host Key Authentication
Encryption of Ansible Project Content and Execution of Advanced Data Manipulation Strategies
Integration of Ansible with AWX to Achieve Optimal Coordination and Orchestration
Interaction with RESTful APIs via Playbooks and AWX
Automation of Build Pipelines and Streamlining of Workflows within Ansible
Development of Continuous Integration and Continuous Delivery (CI/CD) Strategies using Ansible
Overview of Custom Module and Plugin Development within the Ansible Framework
- Implementation of efficient practices for local and global module or plugin creation
- Design and coding of optimized modules and plugins
Utilization of Ansible Tools and Features with Python 3.x and the Python API
Debugging Module Code and Adherence to Documentation Formatting Standards
Deployment of Ansible Modules across External Platforms
- Guidelines for implementing Ansible in Microsoft, AWS, and other cloud environments
Testing Ansible Implementations with Efficient Methods and Monitoring Module Lifecycles
- Application of advanced development practices to other Ansible resources and utilities
Application of Metadata Structures in Ansible and Integration with Public Cloud Services
Deployment of Cloud-Native Applications Leveraging Ansible Automation
- Migration strategies to cloud-native platforms utilizing Ansible
Integration of Ansible with Repositories and Establishment of Collection Maintenance Responsibilities
Automation of Network Infrastructure with Ansible and Response to Dynamic Operational Workloads
- Utilization of Ansible network modules and analysis of Ansible data
- Management of timeout, proxy, and related connectivity issues
- Application of virtualization and containerization methodologies
Execution of Advanced Maintenance and Administrative Procedures for the Ansible Project and Its Components
Examination of In-Depth Concepts regarding the Ansible Development Cycle
- Leveraging of official Ansible documentation and open-source resource collections
Demonstration of Common Automation Scenarios Relevant to the Organization
Troubleshooting Procedures for the Ansible Environment
Summary and Concluding Remarks
Requirements
- Proficiency in YAML syntax and Python 3.x
- Extensive experience in Linux system administration and Command Line Interface (CLI) usage
- Knowledge of fundamental Ansible automation tasks
- An understanding of Ansible platform concepts and principles
- Familiarity with IT workflows and DevOps architecture
Audience
- DevOps Engineers
- Software Developers
- Systems Operations (SysOps) Administrators
Testimonials (2)
the Automation and speaking to different software packages
Eric Van Wyk
Course - Ansible for Experts
It really spoke to what we already have in our department
