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    These live classes are offered both on client sites, at our Geneva training center, and via a Web interface.

  • About Programming

    Within software engineering, programming (the implementation) is regarded as one phase in a software development process, normally following closely on the heels of the requirements gathering phase.

    Computer programming (often shortened to programming or coding) is the process of writing, testing, debugging/troubleshooting, and maintaining the source code of computer programs. This source code is written in a programming language. The code may be a modification of an existing source or something completely new. The purpose of programming is to create a program that exhibits a certain desired behavior (customization). The process of writing source code often requires expertise in many different subjects, including knowledge of the application domain, specialized algorithms and formal logic.


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  • Course Details Programming

    Classes are offered at client sites, at our Geneva training center, and via a live web conference. For detailed course outlines and scheduled classes, please see below.

    To book training, navigate to the course you need, then:

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DevOps for Architects Training

Course duration

  • 3 days

Course Benefits

  • Confidently design a DevOps framework for your organization.
  • Understand the various key components.
  • Implement DevOps in their organization.
  • Create automation through scripting
  • Compare the different tools available for applicability to your environment
  • Apply the knowledge to improve reliability of build and release processes
  • Utilize the various tools covered in the course in the real world

Course Outline

  1. The DevOps Roadmap
    1. Why DevOps?
    2. Wall of Confusion
    3. What is DevOps?
    4. History behind DevOps
    5. Early Adopters
    6. DevOps Background
    7. Cross Functional Teams
    8. Key Components of Successful DevOps Teams (A3 and C)
    9. DevOps-ification
    10. DevOps Vocabulary
    11. DevOps Goals
    12. Driving business outcomes with DevOps
    13. DevOps at the Core
    14. Alignment with the Business
    15. Collaborative Development
    16. Continuous Integration and Test Automation
    17. Continuous Delivery
    18. Comprehensive Application Monitoring
    19. Summary
  2. Configuration Management
    1. Why is configuration management key to DevOps success?
    2. What is Configuration Management
    3. Do we need Configuration Management?
    4. Terminology
    5. Automation tool comparison
    6. Introduction to Chef
    7. Deployment/License
    8. Who Uses Chef?
    9. Chef Architecture
    10. Chef Components
    11. Workstation
    12. Recipe
    13. Cookbook
    14. Ruby
    15. Knife
    16. Node
    17. Chef-client
    18. Chef Server
    19. Chef Analytics
    20. Chef Supermarket
    21. Introduction to Ansible
    22. Why use Ansible?
    23. Ansible playbooks
    24. YAML
    25. YAML list
    26. YAML dictionary
    27. Abbreviated YAML
    28. Simple Ansible
    29. More complex Ansible
    30. Simple Ansible YAML file
    31. Why use containers if you have a great CM tool?
    32. Containerization solutions
    33. Chef and Docker workflow
    34. Setting up the environment
    35. Deployment
    36. Cloud Integration
    37. Summary
  3. Release Management
    1. What is Version Control?
    2. Why use Version Control
    3. Version Control Vocabulary
    4. Version Control Patterns
    5. Distributed vs. Centralized
    6. Source Code vs. Binary Repository
    7. Repository Management
    8. Release Complexity
    9. Release Maintenance
    10. Release Logging
    11. Branching and Tagging
    12. Branching Conventions
    13. Tagging Conventions
    14. Automatic Deployment with Git
    15. Utilizing Git Hooks
    16. Continuous Deployment and DVCS GitHub, Mercurial, CodePlex
    17. Centralized Version Control
    18. Managing Dependencies with Maven
    19. Summary
  4. Building Tools
    1. Build Tool History
    2. Build Automation Processes
    3. Repeatability
    4. Notification
    5. Continuous Build
    6. Git post-receive Script
    7. Introduction to Ant
    8. Ant Anatomy
    9. Ant Installation
    10. Example Ant build.xml
    11. Running Ant
    12. Ant Dependency Management
    13. Introduction to MSBuild
    14. MSBuild Anatomy
    15. MSBuild Automation Process
    16. HelloWorld MSBuild XML
    17. Introduction to Maven
    18. Maven Build Cycle
    19. Maven Installation
    20. Maven Plugin Execution Framework
    21. Maven pom.xml Example
    22. Introduction to Gradle
    23. Why Gradle?
    24. Gradle plugins
    25. Ant Migration
    26. Maven migration
    27. Summary
  5. Continuous Integration and Delivery
    1. What Does Continuous Delivery Mean?
    2. You’re Doing CD if Your …
    3. What is Continuous Integration?
    4. Deployment Pipeline
    5. Project Methodologies
    6. Measuring Your Organizational Maturity
    7. Tool Selection
    8. Organization Structure
    9. Organizational Structure Leadership
    10. Organizational Structure Working
    11. Business Continuity
    12. Supportability and Sustainability
    13. Summary
  6. Continuous Integration Tools
    1. Challenges Solved by CI Tools
    2. CI Testing Tools
    3. Typical CI Setup
    4. Atomic Integration
    5. More on CI
    6. CI and Automated BD
    7. Ancillary CI Benefits
    8. CI Connectivity
    9. Introduction to Jenkins
    10. Jenkins Features
    11. Running Jenkins
    12. Jenkins options
    13. Introduction to Hudson
    14. Hudson Features
    15. Hudson pre-requisites
    16. Hudson environments
    17. Hudson Pattern
    18. One Hudson Workflow Variation
    19. Introduction to TeamCity
    20. Introduction to CruiseControl
    21. Comparison
    22. Summary
  7. Monitoring
    1. What to Monitor
    2. How to Monitor
    3. Why to Monitor
    4. Types of Monitoring
    5. Monitoring Strategy
    6. Amazon Monitoring
    7. Google Cloud Monitoring
    8. Hybrid Cloud Monitoring
    9. Application Performance Monitoring (APM)
    10. APM Octal Process
    11. Monitoring Across the Stack
    12. Introduction to Nagios
    13. Nagios Features
    14. Who uses Nagios?
    15. Introduction to ELK
    16. Kibana Dashboard
    17. ELK Demo
    18. Log Shipping
    19. User Management
    20. Introduction to Dynatrace
    21. Who uses Dynatrace
    22. Summary
  8. Measurement
    1. What to measure?
    2. How to Measure?
    3. Why to Measure
    4. Choosing the Right Metrics
    5. What Are Your Key Performance Indicators?
    6. Actionable Insight
    7. Software Quality Measurements
    8. Top 5 Metrics
    9. Summary
  9. Cloud Computing and Virtualization
    1. Cloud History
    2. Cloud on Wikipedia
    3. Cloud at a Glance
    4. Electrical Power Grid Service Analogy
    5. Capacity Planning Concepts and Challenges
    6. Coping with Computing Demand the Traditional Way
    7. The Origin of the Cloud Computing
    8. Grid Computing vs Cloud Computing
    9. What Drives Cloud Adoption?
    10. NIST Perspective
    11. Five Characteristics of the Cloud
    12. The Three Cloud Service Models (NIST)
    13. The Cloud Computing Spectrum: IaaS, PaaS and SaaS
    14. Cloud Service Model Implementations
    15. Four Cloud Deployment Models (NIST)
    16. NIST Cloud Definition Framework
    17. Virtualization
    18. Virtualization Qualities
    19. Cloud Infrastructure - Virtual Machines
    20. Bootable OS Image
    21. Block Storage for Instances
    22. Cloud Object Storage
    23. Microservices and the Cloud
    24. Cloud Risk Considerations
    25. Bootable OS Image
    26. DevOps Security Concerns
    27. Amazon WS Technical Lessons When Moving To the Cloud
    28. Architecting for HA in AWS (Same Data Center)
    29. Architecting for HA in AWS (Different AZs)
    30. Summary
  10. Automation Scripting
    1. Why Automate?
    2. When to Automate?
    3. Goals for Scripting
    4. Error Handling
    5. Logging
    6. Automating Versioned Builds
    7. Automating Deployment
    8. Automating Continuous Integration Tests
    9. Automated Cleanup
    10. Introduction to Shell Scripts
    11. Basic Shell Script
    12. Return Status
    13. Introduction to Python
    14. Basic Python Script
    15. Python Comments
    16. Assignment Not Allowed in Expressions
    17. Variable Naming
    18. Block Scope
    19. Other features of Python
    20. Introduction to Ruby
    21. Executing a Ruby File
    22. Ruby Objects
    23. Creating a Hash
    24. Setting Value of a Key
    25. Getting Value of a Key(s)
    26. Conditionals and Flow
    27. Methods
    28. Classes
    29. Including External Ruby Files
    30. Introduction to Perl
    31. Perl and Programmers
    32. First Perl Script
    33. Summary
  11. Servers
    1. Introduction to Application Servers
    2. WebSphere
    3. J2EE Application Environments
    4. App Server Standards
    5. Administration Interfaces
    6. Java Virtual Machine
    7. Three tier architecture
    8. Tomcat
    9. Tomcat Architecture
    10. Active Tomcat Versions
    11. Tomcat Installation
    12. Tomcat Startup
    13. Tomcat Admin Console
    14. Tomcat Manual Startup on Linux
    15. Tomcat Manual Startup on Windows
    16. Tomcat Deployment
    17. Parallel Deployment
    18. Running Tomcat in Debug
    19. Web Servers
    20. UNIX Aliases
    21. History
    22. Tracing and Logging
    23. Servlet Containers
    24. Fixpack Automation
    25. Dependencies
    26. Clustering Considerations
    27. High Availability
    28. Summary
  12. Agile
    1. History of Agile
    2. Sprint0
    3. Scrum Team
    4. Managing Sprints
    5. Maintaining the Backlog
    6. Working With Story Points
    7. Distributed Agile
    8. Kaizen
    9. Kanban
    10. Comparison of Scrum and Kanban
    11. Introduction to Jira
    12. Kanban board
    13. Control Chart
    14. Cumulative Flow Diagram
    15. Burndown Chart
    16. Introduction to Rally
    17. Summary
  13. Error Handling
    1. Introduction to Error Handling
    2. Zen of Troubleshooting
    3. Troubleshooting Skill
    4. Success Pattern
    5. Self-healing
    6. Proactive vs. Reactive
    7. Issue Handling
    8. Notification
    9. Summary
  14. Continuous Code Quality
    1. Continuous Code Quality
    2. What is SonarQube
    3. SonarQube - Benefits
    4. SonarQube (Multilingual)
    5. Seven Axes of Quality
    6. Potential Bugs
    7. Tests
    8. Comments and Duplications
    9. Architecture and Design
    10. Complexity
    11. SonarQube Installation
    12. SonarQube Components
    13. Code Quality (LOC, Code Smells)
    14. Code Quality (Project Files)
    15. Code Quality (Code)
    16. Summary
  15. Best Practices
    1. Who are the folks using the various solutions
    2. DevOps Implementation Basics
    3. DevOps Implementation Checklist
    4. Lean Patterns
    5. Process Theory
    6. Tool Pattern
    7. Culture Alignment
    8. Culture Antipatterns
    9. Process Antipatterns
    10. Technology Antipatterns
    11. Tale of Two Audiences
    12. Best Practices
    13. Best Practices Continued
    14. Summary
Class Materials

Each student will receive a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this DevOps class:

  • An understanding of the basic concepts in version control, release management, automation, governance, and infrastructure.
Prerequisite Courses

Courses that can help you meet these prerequisites:

Since its founding in 1995, InterSource has been providing high quality and highly customized training solutions to clients worldwide. With over 500 course titles constantly updated and numerous course customization and creation possibilities, we have the capability to meet your I.T. training needs.
Instructor-led courses are offered via a live Web connection, at client sites throughout Europe, and at our Geneva Training Center.