OBJECTIVES

Upon completion of the Pivotal Cloud Foundry for Architects Training, students will be able to:

  • Explain disadvantages of monolithic applications
  • Recognize cloud-friendliness of microservices
  • Understand the architecture and inner workings of the Pivotal Cloud Foundry (PCF) platform
  • Differentiate between the capabilities of the IaaS and PCF service delivery models
  • Describe PCF buildpacks
  • Understand PCF security
  • Summarize how PCF Autoscaling works
  • Understand Blue-Green deployment

AUDIENCE

Enterprise Architects, Solution Architects, Developers, Technical Managers

PREREQUISITES

Foundational knowledge in distributed computing and Web-based architecture

DURATION

Two days

Outline for Pivotal Cloud Foundry for Architects Training

Chapter 1. Designing Applications for the Cloud

  • Monolithic Applications
  • Disadvantages of Monolithic Applications
  • Problems with Traditional Monolithic Application Design
  • Dealing with Monoliths
  • Microservices
  • Microservices Cons
  • Micro Frontends (a.k.a. MicroUI)
  • Managing the Crowd (Call the Riot Police?)
  • The Twelve-Factor App Methodology for Cloud Apps
  • The Twelve Factors (Part 1 of 2)
  • The Twelve Factors (Part 2 of 2)
  • Summary

Chapter 2. Introduction to the Pivotal Cloud Foundry Platform

  • Cloud Standardization
  • Cloud Standard Example: Open Cloud Computing Interface
  • Links
  • What is Pivotal Cloud Foundry
  • PCF vs Heroku
  • Architecture Modernization
  • Pivotal CF is An Enterprise PaaS
  • The Focus: Distributed Applications
  • Operational Aspects
  • Cloud Foundry Foundation Members
  • Traditional On-Premise vs IaaS vs Cloud Foundry
  • What is Being IaaS-Independent?
  • Cloud Foundry PaaS Certification Program
  • Supported Runtimes and Frameworks
  • Modern Release Engineering
  • The Cloud Foundry BOSH Tool Chain
  • Deployment of Cloud Foundry
  • Interfacing with PCF
  • Open Service Broker API
  • 12 Factor Apps
  • Comparing with IaaS
  • The cf CLI
  • Scaling
  • CF Details
  • Cloud Foundry Open Source vs Pivotal Application Service (PAS)
  • PCF Marketplace
  • Tasks and Long-running Processes
  • Task Execution
  • Summary

Chapter 3. Pivotal Cloud Foundry Components

  • Overview
  • Elastic Runtime (ER) Architecture
  • Elastic Runtime (ER) Conceptual Diagram
  • cf push High Level Orchestration
  • Cloud Controller
  • Staging
  • The Available Buildpacks
  • The Diego Subsystem
  • Container
  • Diego Cell
  • Garden
  • Rep
  • Executor
  • Putting it All Together ...
  • The Bulletin Board System (BBS)
  • Brain
  • The Loggregator Subsystem
  • Virtual Machines
  • VM Notes
  • Router
  • Login
  • Putting it All Together
  • Stage / Run Flows
  • Summary

Chapter 4. Pivotal Cloud Foundry Buildpacks

  • Overview
  • System Buildpacks
  • Community Buildpacks
  • Applying Multiple Buildpacks
  • Droplet
  • Staging Sequence
  • Summary

Chapter 5. PCF Organizations, Spaces and UUA

  • User Account and Authentication (UAA)
  • Organization
  • Organizations and Spaces
  • Roles and Permissions
  • CLI
  • Summary

Chapter 6. Application Security Groups

  • Application Security Groups (ASGs)
  • Whitelist Approach
  • Default ASGs
  • Security Group Rules File Example
  • View ASGs with the cf CLI
  • Create a Security Group with cf CLI
  • Summary

Chapter 7. Pivotal Cloud Foundry Autoscaling

  • Overview
  • The Application Autoscaling Service
  • How App Autoscaler Determines When to Scale
  • Autoscaling Events
  • Set up App Autoscaler
  • Summary

Chapter 8. Handling Logs

  • In-Class Discussion
  • 12 Factor App's Take on Logs
  • The Log Flow Management System
  • Summary

Chapter 9. CF Route Service

  • Overview
  • Architecture
  • Fully-Brokered Service Model
  • User-Provided Service Model
  • CF CLI Commands
  • Client Request Flow Diagram in User-Provided Service Deployment
  • Summary

Chapter 10. Pivotal Cloud Foundry HA

  • Overview
  • Availability Zones (Level 1)
  • Health Management for App Instances (Level 2)
  • Process-Level Monitoring (Level 3)
  • Summary

Chapter 11. Blue-Green Deployment

  • What is Blue-Green Deployment Pattern?
  • How It Works
  • What if I Need a Larger Maintenance Window?
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Implementations
  • General Considerations for Application and Data Model Design
  • Summary