Part 1: Intro to Microservices

1. Optimize for speed, not efficiency
2. Case Study: General Electric
   1. Throughput
   2. Waste
3. Amazon Web Services Case Study (SOA/Microservices)
   1. Problem: Scaling the Organization and the ‘Big ball of mud’
   2. Conway’s Law
   3. Service Oriented Architecture
   4. Forced Self Service Mandate
   5. Result: Amazon dominance of cloud
   6. Result: High velocity at scale
4. Intro to Containers (encapsulation)
   1. What is Docker
   2. Exercise: Install Docker
   3. Exercise: Docker Hello World
   4. Docker ecosystem
   5. Docker concepts
   6. Container encapsulation/ideal use cases
      1. Encapsulation
      2. Speed
      3. Increased utilization of computing resources
   7. Benefits
      1. Configure once, run everywhere
   8. VM’s vs Container use cases
      1. Databases & stateless workloads
   9. Docker Architecture
   10. Exercise: Docker 101 – Web App
   11. Docker File System
   12. Docker Images
   13. Exercise: Stateless Web App
   14. Local Registry
   15. Data Volumes
   16. Exercise: Docker 201 – Compose Multi-tier app
   17. Continuous integration patterns
   18. Docker Security
   19. Continuous Integration
       1. Canary Release
       2. Blue Green Deployment
       3. A/B Testing
       4. Rolling Update
       5. Jenkins Plugin
5. Microservice challenge: Continuous Integration Service
   1. On-Premise
      1. Jenkins
   2. SaaS Service
      1. Shippable
      2. Jenkins
      3. TravisCI
   3. Exercise: Trigger build/tests from change

Part 2: Microservices in Development

1. Uber Case Study
   1. 2000 services, 1000 engineers
   2. Tradeoffs
      1. Plus – overall development speed
      2. Cons – technical challenges
2. Box Case Study
   1. Traditional service deployment with bare metal
   2. 10x faster workflow with DevOps practices
3. Microservice challenge: Image repository
   1. Docker repository development instance
   2. On-Premise Service
      1. Quay by CoreOS
   3. SaaS solution
      1. Docker Hub
      2. JFrog
   4. Exercise: Submit image to service
   5. Exercise: Pull image from service
4. Intro to Kubernetes (Containers at Google)
   1. Prerequisites
   2. Containers
   3. Linux Kernel Features
   4. Container User Experience
   5. New Container Capabilities
   6. Gaps using Containers in Production
5. Exercise: Kubernetes 100: Hello World
6. Core Concepts
   1. Cluster Orchestration
   2. Originated at Google
   3. Open Source
   4. Benefits
   5. Design Principles
7. Architecture
   1. Master/Node
   2. Kubectl
   3. Replication Controller
   4. Kubelet
   5. Kube-Proxy
   6. Persistent Volumes
   7. Etcd
   8. High Availability
   9. Exercise: Kubernetes 101: Stateless web app
8. Kubernetes Features
   1. Pods
   2. Labels
   3. Services
   4. Namespaces
   5. Resource Quota
9. Exercise: Kubernetes 201: Guestbook app

Part 3: Microservices in Production

1. Spotify Case Study
   1. 810 Services, 477 engineers
2. Microservice challenge: Service discovery
   1. Skydns
   2. Consul
3. Exercise: Resolve service with DNS
4. Security
   1. Goals
   2. Roles
   3. Attribute Based Access Control
   4. Policies
   5. Service Accounts
   6. Secrets
5. Forth Microservice challenge: Secrets
   1. Vault
   2. Kubernetes Secrets API
6. Exercise: Kubernetes – Store database credentials in cluster
7. Cluster Add-ons
   1. Cluster DNS
   2. Logging with Elasticsearch and Fluentd
   3. Container Level Monitoring
   4. cAdvisor
   5. InfluxDB
   6. Prometheus
8. Exercise: WordPress on Kubernetes
9. Managing state with disposable architectures
   1. Tradeoffs, standalone vs containerized databases
   2. CAP Theorem
   3. SQL Databases
   4. NOSQL Databases
10. Exercise: Cassandra on Kubernetes
11. Practicing Failure
    1. Optimize MTTR
12. Netflix Case Study
    1. Simian Army
    2. Graceful handling of failure

Part 4: Putting it all together

1. Why Microservices?
   1. Scale an organization
   2. Tradeoffs
   3. Fault Tolerance
   4. Throughput
   5. Waste
2. Kubernetes Alpha Features
   1. Multi-Datacenter Control Plane
   2. RBAC/Multi-tenancy
3. Openshift/Mesos/Other PaaS platforms
4. Exercise: Customize Microservice App
5. Exercise: Scale app for simulated demand
6. Review of Microservice Challenges
   1. Secure Images
   2. Highly available application
   3. Secrets
   4. Continuous Integration
   5. DNS Name resolution
7. Summary