Microservices Engineering Training Workshop

For IT professionals, developers, software engineers, and DevOps practitioners – Microservices Engineering Training Workshop 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. Microservices training course brochure

Whether you want to create new services, decouple a few services from your overall architecture, or refactor an entire monolithic architecture into a microservice design pattern, this course quickly teaches you the practical toolset and skills to get up and running with microservices in your own systems. Loosely coupled components and services allow teams to deploy more freely and independently, with less risk to the architecture.

Class exercises use Java, but for private onsite deliveries, exercises can be done using your preferred language.

• Introduction to Microservices Architecture Training
• Microservices Architecture Training
• Entity Framework (EF) Core Training
• Developing Microservices Training (DMS)
• Java Microservices Training Boot Camp

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’s dominance of the cloud
• Result: High velocity at scale
• Microservices Engineering Training Workshop

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 a 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
• Microservices Engineering Training Workshop

Microservice challenge: Image repository

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

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 the cluster
• Microservices Engineering Training Workshop
• 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

Microservices Engineering Training Workshop Course Recap, Q/A, and Evaluations