DevOps for Architects

Course Overview

Chapter 1. The DevOps Roadmap

• Why DevOps?
• Wall of Confusion
• What is DevOps?
• History behind DevOps
• Early Adopters
• DevOps Background
• Cross Functional Teams
• Key Components of Successful DevOps Teams (A3 & C)
• DevOps-ification
• DevOps Vocabulary
• DevOps Goals
• Driving business outcomes with DevOps
• DevOps at the Core
• Alignment with the Business
• Collaborative Development
• Continuous Integration & Test Automation
• Continuous Delivery
• Comprehensive Application Monitoring
• Summary

Chapter 2. Configuration Management

• Why is configuration management key to DevOps success?
• What is Configuration Management
• Do we need Configuration Management?
• Terminology
• Automation tool comparison
• Introduction to Chef
• Deployment/License
• Who Uses Chef?
• Chef Architecture
• Chef Components
• Workstation
• Recipe
• Cookbook
• Ruby
• Knife
• Node
• Chef-client
• Chef Server
• Chef Analytics
• Chef Supermarket
• Introduction to Ansible
• Why use Ansible?
• Ansible playbooks
• YAML
• YAML list
• YAML dictionary
• Abbreviated YAML
• Simple Ansible
• More complex Ansible
• Simple Ansible YAML file
• Why use containers if you have a great CM tool?
• Containerization solutions
• Chef & Docker workflow
• Setting up the environment
• Deployment
• Cloud Integration
• Summary

Chapter 3. Release Management

• What is Version Control?
• Why use Version Control
• Version Control Vocabulary
• Version Control Patterns
• Distributed vs. Centralized
• Source Code vs. Binary Repository
• Repository Management
• Release Complexity
• Release Maintenance
• Release Logging
• Branching & Tagging
• Branching Conventions
• Tagging Conventions
• Automatic Deployment with Git
• Utilizing Git Hooks
• Continuous Deployment and DVCS GitHub, Mercurial, CodePlex
• Centralized Version Control
• Managing Dependencies with Maven
• Summary

Chapter 4. Building Tools

• Build Tool History
• Build Automation Processes
• Repeatability
• Notification
• Continuous Build
• Git post-receive Script
• Introduction to Ant
• Ant Anatomy
• Ant Installation
• Example Ant build.xml
• Running Ant
• Ant Dependency Management
• Introduction to MSBuild
• MSBuild Anatomy
• MSBuild Automation Process
• HelloWorld MSBuild XML
• Introduction to Maven
• Maven Build Cycle
• Maven Installation
• Maven Plugin Execution Framework
• Maven pom.xml Example
• Introduction to Gradle
• Why Gradle?
• Gradle plugins
• Ant Migration
• Maven migration
• Summary

Chapter 5. Continuous Integration & Delivery

• What Does Continuous Delivery Mean?
• You’re Doing CD if Your …
• What is Continuous Integration?
• Deployment Pipeline
• Project Methodologies
• Measuring Your Organizational Maturity
• Tool Selection
• Organization Structure
• Organizational Structure Leadership
• Organizational Structure Working
• Business Continuity
• Supportability & Sustainability
• Summary

Chapter 6. Continuous Integration Tools

• Challenges Solved by CI Tools
• CI Testing Tools
• Typical CI Setup
• Atomic Integration
• More on CI
• CI and Automated BD
• Ancillary CI Benefits
• CI Connectivity
• Introduction to Jenkins
• Jenkins Features
• Running Jenkins
• Jenkins options
• Introduction to Hudson
• Hudson Features
• Hudson pre-requisites
• Hudson environments
• Hudson Pattern
• One Hudson Workflow Variation
• Introduction to TeamCity
• Introduction to CruiseControl
• Comparison
• Summary

Chapter 7. Monitoring

• What to Monitor
• How to Monitor
• Why to Monitor
• Types of Monitoring
• Monitoring Strategy
• Amazon Monitoring
• Google Cloud Monitoring
• Hybrid Cloud Monitoring
• Application Performance Monitoring (APM)
• APM Octal Process
• Monitoring Across the Stack
• Introduction to Nagios
• Nagios Features
• Who uses Nagios?
• Introduction to ELK
• Kibana Dashboard
• ELK Demo
• Log Shipping
• User Management
• Introduction to Dynatrace
• Who uses Dynatrace
• Summary

Chapter 8. Measurement

• What to measure?
• How to Measure?
• Why to Measure
• Choosing the Right Metrics
• What Are Your Key Performance Indicators?
• Actionable Insight
• Software Quality Measurements
• Top 5 Metrics
• Summary

Chapter 9. Cloud Computing and Virtualization

• Cloud History
• Cloud on Wikipedia
• Cloud at a Glance
• Electrical Power Grid Service Analogy
• Capacity Planning Concepts and Challenges
• Coping with Computing Demand the Traditional Way
• The Origin of the Cloud Computing
• Grid Computing vs Cloud Computing
• What Drives Cloud Adoption?
• NIST Perspective
• Five Characteristics of the Cloud
• The Three Cloud Service Models (NIST)
• The Cloud Computing Spectrum: IaaS, PaaS and SaaS
• Cloud Service Model Implementations
• Four Cloud Deployment Models (NIST)
• NIST Cloud Definition Framework
• Virtualization
• Virtualization Qualities
• Cloud Infrastructure - Virtual Machines
• Bootable OS Image
• Block Storage for Instances
• Cloud Object Storage
• Microservices and the Cloud
• Cloud Risk Considerations
• Bootable OS Image
• DevOps Security Concerns
• Amazon WS Technical Lessons When Moving To the Cloud
• Architecting for HA in AWS (Same Data Center)
• Architecting for HA in AWS (Different AZs)
• Summary

Chapter 10. Automation Scripting

• Why Automate?
• When to Automate?
• Goals for Scripting
• Error Handling
• Logging
• Automating Versioned Builds
• Automating Deployment
• Automating Continuous Integration Tests
• Automated Cleanup
• Introduction to Shell Scripts
• Basic Shell Script
• Return Status
• Introduction to Python
• Basic Python Script
• Python Comments
• Assignment Not Allowed in Expressions
• Variable Naming
• Block Scope
• Other features of Python
• Introduction to Ruby
• Executing a Ruby File
• Ruby Objects
• Creating a Hash
• Setting Value of a Key
• Getting Value of a Key(s)
• Conditionals and Flow
• Methods
• Classes
• Including External Ruby Files
• Introduction to Perl
• Perl and Programmers
• First Perl Script
• Summary

Chapter 11. Servers

• Introduction to Application Servers
• WebSphere
• J2EE Application Environments
• App Server Standards
• Administration Interfaces
• Java Virtual Machine
• Three tier architecture
• Tomcat
• Tomcat Architecture
• Active Tomcat Versions
• Tomcat Installation
• Tomcat Startup
• Tomcat Admin Console
• Tomcat Manual Startup on Linux
• Tomcat Manual Startup on Windows
• Tomcat Deployment
• Parallel Deployment
• Running Tomcat in Debug
• Web Servers
• UNIX Aliases
• History
• Tracing and Logging
• Servlet Containers
• Fixpack Automation
• Dependencies
• Clustering Considerations
• High Availability
• Summary

Chapter 12. Agile

• History of Agile
• Sprint0
• Scrum Team
• Managing Sprints
• Maintaining the Backlog
• Working With Story Points
• Distributed Agile
• Kaizen
• Kanban
• Comparison of Scrum & Kanban
• Introduction to Jira
• Kanban board
• Control Chart
• Cumulative Flow Diagram
• Burndown Chart
• Introduction to Rally
• Summary

Chapter 13. Error Handling

• Introduction to Error Handling
• Zen of Troubleshooting
• Troubleshooting Skill
• Success Pattern
• Self-healing
• Proactive vs. Reactive
• Issue Handling
• Notification
• Summary

Chapter 14. Continuous Code Quality

• Continuous Code Quality
• What is SonarQube
• SonarQube - Benefits
• SonarQube (Multilingual)
• Seven Axes of Quality
• Potential Bugs
• Tests
• Comments and Duplications
• Architecture and Design
• Complexity
• SonarQube Installation
• SonarQube Components
• Code Quality (LOC, Code Smells)
• Code Quality (Project Files)
• Code Quality (Code)
• Summary

Chapter 15. Best Practices

• Who are the folks using the various solutions
• DevOps Implementation Basics
• DevOps Implementation Checklist
• Lean Patterns
• Process Theory
• Tool Pattern
• Culture Alignment
• Culture Antipatterns
• Process Antipatterns
• Technology Antipatterns
• Tale of Two Audiences
• Best Practices
• Best Practices Continued
• Summary

Lab Exercises

Lab 1. Configuration Management
Lab 2. Version Control - Git
Lab 3. Version Control – SVN
Lab 4. Continuous Integration
Lab 5. Install Prerequisites
Lab 6. Continuous Code Quality - SonarQube
Lab 7. Automation (Shell Scripting)
Lab 8. Tomcat Application Deployment using Chef
Lab 9. Continuous Monitoring - Nagios
Lab 10. Containerization – Docker

Prerequisites

An understanding of the basic concepts in version control, release management, automation, governance, and infrastructure.  A course like KT-2451 DEVOPS FUNDAMENTALS is ideal for that.