HashiCorp Packer Training
Introduction to HashiCorp Packer
Gain an understanding of HashiCorp Packer, a tool for automating the creation of machine images. Learn about its purpose, core concepts, and how it fits into the infrastructure automation landscape.
Getting Started with Packer
Learn how to set up and configure HashiCorp Packer. Understand the installation process, basic commands, and how to create your first Packer configuration file to build machine images.
Packer Templates and Builders
Explore Packer templates and builders. Learn how to define and customize your templates to specify the configuration and provisioning of images, and understand the different builders available for various platforms.
Provisioners and Post-Processors
Discover how to use provisioners and post-processors in Packer. Learn about different provisioners for configuring the image and post-processors for further processing and distributing the built images.
Working with Various Image Providers
Learn how to create images for different platforms and cloud providers using Packer. Understand how to work with popular providers such as AWS, Azure, Google Cloud, and VMware.
Advanced Packer Features
Dive into advanced features of Packer. Learn about image versioning, artifact management, and integrating Packer with other tools and systems to enhance your infrastructure automation workflow.
Testing and Debugging Packer Configurations
Learn techniques for testing and debugging Packer configurations. Understand how to validate your templates, troubleshoot issues, and ensure that your images are built correctly and consistently.
Best Practices for Using Packer
Discover best practices for using HashiCorp Packer effectively. Learn about managing configurations, optimizing image builds, and maintaining version control to streamline your image creation process.
Integrating Packer with CI/CD Pipelines
Explore how to integrate Packer with Continuous Integration and Continuous Deployment (CI/CD) pipelines. Learn how to automate the image creation process as part of your deployment workflow.
Hands-On Labs and Projects
Engage in hands-on labs and projects to apply your knowledge of HashiCorp Packer. Work on real-world scenarios to develop practical skills in creating, managing, and optimizing machine images.
HashiCorp Packer Syllabus
1. Introduction to Packer
- Overview of Packer
- What is Packer?
- Use Cases and Benefits
- Key Features and Architecture
2. Installation and Setup
- Installing Packer
- Installation on Windows, macOS, and Linux
- Setting up the Packer Environment
- Basic Command-Line Usage
3. Getting Started with Packer
- Packer Basics
- Understanding Packer Templates
- JSON vs. HCL Template Formats
- Basic Template Structure: Builders, Provisioners, and Post-processors
4. Builders
- Understanding Builders
- Overview of Builders
- Common Builders: AWS, Azure, Google Cloud, VMware, VirtualBox, Docker
- Configuring and Using Builders
- Example: Creating an AWS AMI
5. Provisioners
- Provisioning Basics
- Overview of Provisioners
- Built-in Provisioners: Shell, Ansible, Chef, Puppet, Salt, etc.
- Writing and Using Shell Scripts for Provisioning
- Example: Using Ansible as a Provisioner
6. Post-Processors
- Post-Processing
- Overview of Post-processors
- Common Post-processors: Compress, Artifact Upload, Docker Push
- Example: Compressing and Uploading Images
7. Variables and Functions
- Dynamic Templates
- Using Variables in Packer Templates
- Defining and Using User Variables
- Using Functions to Manipulate Variables and Strings
8. Advanced Template Features
- Advanced Configuration
- Template Inheritance and Composition
- Using HCL for Advanced Configurations
- Working with Complex Data Structures
9. Debugging and Troubleshooting
- Debugging Techniques
- Common Issues and Solutions
- Using Packer’s Debug Mode
- Logging and Output Inspection
10. Packer and CI/CD Integration
- Automation and CI/CD
- Integrating Packer with Jenkins
- Using Packer in GitLab CI/CD Pipelines
- Example: Automating Packer Builds with CircleCI
11. Advanced Packer Concepts
- Deep Dive into Packer Architecture
- Detailed Overview of Packer’s Internal Workings
- Understanding Packer’s Lifecycle: Initialization, Validation, Build, and Cleanup
12. Custom Builders
- Creating Custom Builders
- Introduction to Custom Builders
- Building a Custom Builder from Scratch
- Using the Packer Plugin SDK
13. Advanced Provisioning Techniques
- Complex Provisioning Scenarios
- Multi-Step Provisioning with Multiple Provisioners
- Conditional Provisioning Logic
- Using External Sources for Provisioning Scripts and Configurations
14. Post-Processing Advanced Techniques
- Custom Post-Processors
- Writing Custom Post-processors
- Advanced Usage of Existing Post-processors
- Chaining Multiple Post-processors for Complex Workflows
15. Template Modularity and Reusability
- Template Design Patterns
- Breaking Down Templates into Reusable Components
- Using Packer Template Includes and Data Sources
- Management Strategies for Managing Large and Complex Templates
16. Enhanced Configuration
- Integrating with Configuration Management Tools
- Advanced Ansible, Chef, Puppet, and Salt Integration
- Using Dynamic Inventory and Packer-Generated Assets
- Handling Secrets and Sensitive Data with HashiCorp Vault
17. Debugging and Optimization
- Advanced Debugging Techniques
- Deep Dive into Packer’s Logging and Debug Options
- Profiling and Performance Tuning for Packer Builds
- Optimizing Image Build Times and Resource Usage
18. Security and Compliance
- Security Best Practices
- Hardening Packer Templates and Images
- Incorporating Security Scanning Tools (e.g., HashiCorp Sentinel, OpenSCAP)
- Ensuring Compliance with Industry Standards
19. Multi-Cloud and Hybrid Environments
- Cross-Cloud Management
- Image Building and Managing Images Across Multiple Cloud Providers
- Using Packer in Hybrid Cloud Scenarios
- Cross-Cloud Networking and Interoperability
20. Integration with Other Tools
- Advanced CI/CD Integration
- Automating Packer Builds with Advanced CI/CD Pipelines
- Integrating with Terraform for Infrastructure Provisioning
- Using Consul for Service Discovery and Configuration
21. Performance Tuning and Cost Management
- Efficient Resource Utilization
- Strategies for Cost-Effective Image Building
- Using Spot Instances and Other Cost-Saving Techniques
- Monitoring and Optimizing Resource Usage
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details