Microservices Engineering Boot Camp

About this Course

For IT professionals, developers, software engineers, and DevOps practitioners – This boot camp provides the technical practices and tooling fundamentals necessary to begin realizing the benefits of Microservices as a foundation for IT architecture, software engineering, and service/release delivery. The workshop includes 16 hands-on exercises which give you real-world practice on the engineering tools and skills a team needs in order to realistically implement your own flavor of Microservices architecture patterns so you can address the team needs of your own organization.

Audience Profile

• System and software architects
• Developers
• Testers and QA teams
• Release engineers
• IT operations staff
• Site reliability engineers
• DevOps practitioners
• DBAs and data engineering teams
• Information Security Pros

Course Content

During this course, students will:

Course Outline

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
         • Encapsulation
         • Speed
         • Increased utilization of compute resources
      7. Benefits
         • Configure once, run everywhere
      8. VM’s vs Container use cases
         • 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
          • Canary Release
          • Blue Green Deployment
          • A/B Testing
          • Rolling Update
          • Jenkins Plugin
   5. Microservice challenge: Continuous Integration Service
      1. On Premise
         • Jenkins
      2. SaaS Service
         • Shippable
         • Jenkins
         • TravisCI
      3. Exercise: Trigger build/tests from change
2. Microservices in Development

1. Uber Case Study
   1. 2000 services, 1000 engineers
   2. Tradeoffs
      • Plus - overall development speed
      • 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
      • Quay by CoreOS
   3. SaaS solution
      • Docker Hub
      • 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
1. Exercise: Kubernetes 201: Guestbook app

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 Addons
      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, strandalone vs containerized db’s
      2. CAP Theroem
      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

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

In-Class Exercises: (short description of each exercise)

• Exercise: Install Docker
• Exercise: Docker Hello World
• Exercise: Docker 101 - Web App
• Exercise: Docker 201 - Compose Multi-tier app
• Exercise: Trigger build/tests from change
• Exercise: Submit image to service
• Exercise: Pull image from service
• Exercise: Kubernetes 100: Hello World
• Exercise: Kubernetes 101: Stateless web app
• Exercise: Kubernetes 201: Guestbook app
• Exercise: Resolve service with DNS
• Exercise: Kubernetes - Store database credentials in cluster
• Exercise: Wordpress on Kubernetes
• Exercise: Cassandra on Kubernetes
• Exercise: Customize Microservice App
• Exercise: Scale app for simulated demand