Part 1: Intro to Microservices

• Optimize for speed, not efficiency
• Case Study: General Electric
  • Throughput
  • Waste

Amazon Web Services Case Study (SOA/Microservices)

• Problem: Scaling the Organization and the ‘Big ball of mud’
• Conway’s Law
• Service Oriented Architecture
• Forced Self Service Mandate
• Result: Amazon dominance of cloud
• Result: High velocity at scale

Intro to Containers (encapsulation)

• What is Docker
• Exercise: Install Docker
• Exercise: Docker Hello World[/b]
• Docker ecosystem
• Docker concepts
• Container encapsulation/ideal use cases
• • Encapsulation
  • Speed
  • Increased utilization of computing resources
• Benefits
  • Configure once, run everywhere
• VM’s vs Container use cases
  • Databases & stateless workloads
• Docker Architecture
• Exercise: Docker 101 – Web App
• Docker File System
• Docker Images
• Exercise: Stateless Web App
• Local Registry
• Data Volumes
• Exercise: Docker 201 – Compose Multi-tier app
• Continuous integration patterns
• Docker Security
• Continuous Integration
• • Canary Release
  • Blue Green Deployment
  • A/B Testing
  • Rolling Update
  • Jenkins Plugin

Microservice challenge: Continuous Integration Service

• On-Premise
  • Jenkins
• SaaS Service
  • Shippable
  • Jenkins
  • TravisCI
• Exercise: Trigger build/tests from change

Part 2: Microservices in Development Uber Case Study

• 2000 services, 1000 engineers
• Tradeoffs

[*] Plus – overall development speed [*] Cons – technical challenges [/list]

Box Case Study

• Traditional service deployment with bare metal
• 10x faster workflow with DevOps practices

Microservice challenge: Image repository

• Docker repository development instance
• On-Premise Service
  • Quay by CoreOS
• SaaS solution
• • Docker Hub
  • JFrog
• Exercise: Submit image to service
• Exercise: Pull image from service

Intro to Kubernetes (Containers at Google)

• Prerequisites
• Containers
• Linux Kernel Features
• Container User Experience
• New Container Capabilities
• Gaps using Containers in Production

Exercise: Kubernetes 100: Hello World

Core Concepts

• Cluster Orchestration
• Originated at Google
• Open Source
• Benefits
• Design Principles

Architecture

• Master/Node
• Kubectl
• Replication Controller
• Kubelet
• Kube-Proxy
• Persistent Volumes
• Etcd
• High Availability
• Exercise: Kubernetes 101: Stateless web app Kubernetes Features
  • Pods
  • Labels
  • Services
  • Namespaces
  • Resource Quota

  Exercise: Kubernetes 201: Guestbook app Part 3: Microservices in Production

  [list]
  • Spotify Case Study 810 Services, 477 engineers
• Microservice challenge: Service discovery[/b]
  • Skydns
  • Consul
• Exercise: Resolve service with DNS
• Security[/b]
  • Goals
  • Roles
  • Attribute Based Access Control
  • Policies
  • Service Accounts
  • Secrets
• Forth Microservice challenge: Secrets[/b]
  • Vault
  • Kubernetes Secrets API
• Exercise: Kubernetes – Store database credentials in cluster
• Cluster Add-ons[/b]
  • Cluster DNS
  • Logging with Elasticsearch and Fluentd
  • Container Level Monitoring
  • cAdvisor
  • InfluxDB
  • Prometheus
• Exercise: WordPress on Kubernetes[/b]
• Managing state with disposable architectures[/b]
  • Tradeoffs, standalone vs containerized databases
  • AP Theorem
  • SQL Databases
  • NOSQL Databases
• Exercise: Cassandra on Kubernetes
• Practicing Failure
  • Optimize MTTR
• Netflix Case Study
  • Simian Army
  • Graceful handling of failure

Part 4: Putting it all together Why Microservices?

• Scale an organization
• Tradeoffs
• Fault Tolerance
• Throughput
• Waste

Kubernetes Alpha Features

• Multi-Datacenter Control Plane
• RBAC/Multi-tenancy

Openshift/Mesos/Other PaaS platforms Exercise: Customize Microservice App Exercise: Scale app for simulated demand Review of Microservice Challenges

• Secure Images
• Highly available application
• Secrets
• Continuous Integration
• DNS Name resolution

Summary

Microservices Engineering Boot Camp Training