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Course Outline
Architecture & Multi-Master Deployment Patterns
- Advanced Puppet topology: master nodes, agent nodes, PuppetDB, and coordination layer responsibilities
- Multi-datacenter and multi-environment classification strategies
- Load balancing architecture, HAProxy/NGINX configuration, and certificate-based routing
- Site-wide node classification, role/profile separation, and centralized control
- Lab: Provision a multi-master cluster, configure the load balancer, establish agent routing, and validate failover behavior
Advanced Development Environments & Code Management
- Puppet Development Kit (PDK), module scaffolding, and linting/style enforcement
- Version control workflows: Git branching, PR reviews, and automated provisioning
- Puppetfile/R10k and code management servers for environment synchronization
- Testing frameworks: RSpec-Puppet, Beaker, and integration test pipeline setup
- Lab: Scaffold production-grade modules, configure Git-backed code management, and execute automated test suites
Puppet Module Architecture & Code Compression
- Advanced module structure: roles, profiles, base modules, and dependency management
- Custom facts, custom functions, and dynamic node classification techniques
- Catalog compilation optimization: fact caching,
--compilemode, and resource filtering - Code compression techniques: reducing agent runtime, optimizing file synchronization, and filebucket management
- Lab: Optimize a bloated module into a lean, cached architecture; benchmark catalog compilation times before and after optimization
Hiera v5: Data Separation & Encryption
- Hiera hierarchy design: environment, role, and node-level data sources
- Backend configuration: JSON, YAML, PuppetDB, and external secrets manager integration
- Hiera-eyaml implementation: symmetric/asymmetric key management, GPG encryption, and secure credential storage
- Dynamic data lookups, interpolation, and fallback chain optimization
- Lab: Implement encrypted password/secret storage, configure multi-tier hierarchy, and resolve dynamic lookups across environments
Virtual & Exported Resources: Cross-Node Resource Aggregation
- Virtual resource types: defining, collecting, and synchronization patterns
- Exported resources:
@@,<<syntax, PuppetDB-backed resource queries, and modern catalog aggregation - Use cases: centralized DNS, certificate distribution, firewall topology, and load balancer state synchronization
- Lab: Deploy cross-node service registration, synchronize resource states, and validate aggregation accuracy
Reporting, Auditing & Compliance Tracking
- PuppetDB architecture: data models, indexing, and API usage for external tools
- Custom reporting hooks, Logstash/Elastic integration, and SIEM forwarding patterns
- Compliance mapping: audit trails, configuration drift detection, and policy enforcement via catalogs
- Node state visualization, catalog history, and fact retention strategies
- Lab: Configure PuppetDB data retention, build custom audit dashboards, and enforce compliance checks via catalogs
MCollective: Infrastructure Automation & Coordination
- MCollective architecture: RPC framework, agent registry, filters, and security model (ActiveMQ, SSL, certificates)
- Writing custom action classes and agent scripts for infrastructure automation
- Coordinating Puppet runs, service restarts, patching, and batch operations
- Integration patterns with Puppet: catalog-driven automation and event-triggered workflows
- Lab: Deploy MCollective, create custom agents, run batch orchestration, and synchronize with Puppet agent runs
Troubleshooting & Performance Profiling
- Advanced log analysis:
--debug,--trace,--detailed-exitcodes, and PuppetDB query logs - Fact resolution debugging, environment classification errors, and dependency cycle detection
- Catalog compilation bottlenecks, memory profiling, and network timeout mitigation
- Recovery strategies: node reset, PuppetDB cleanup, and state reconciliation
- Lab: Diagnose and resolve simulated catalog failures, fact resolution loops, and performance degradation scenarios
Scaling Puppet at Enterprise Scale
- Database tuning: PostgreSQL/MongoDB optimization, connection pooling, and indexing
- Node caching, catalog caching, and DNS/TLS optimization for high-frequency polling
- Load distribution, worker thread tuning, and PuppetDB sharding strategies
- Site-wide rollouts, maintenance windows, and rollback procedures
- Lab:Simulate a high-node environment, tune database/agent parameters, validate scaling limits, and document operational runbooks
Requirements
- Participants must have either completed the Puppet Fundamentals training course or possess equivalent experience with Puppet.
- Candidates should also demonstrate solid Linux/Unix System Administration expertise.
21 Hours
Testimonials (1)
Luke was very knowledgeable and helpful throughout the training, including answering some questions which were probably more advanced than the course.
