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Microservices Engineering Boot Camp

Learn a Practical Approach to Microservices and Get Hands-on Practice With the Real-world Toolchain.

For IT professionals, developers, software engineers, and DevOps practitioners – microservices training 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. This course includes 16 hands-on exercises that 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.

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.

Duration

3 days/24 hours of instruction

Education Credits

24 PDUs

Public Classroom Pricing

$2450(USD)

GSA Price: $2340

Group Rate: $2350

Private Group Pricing

Have a group of 5 or more students? Request special pricing for private group training today.

Download the Course Brochure

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
- 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
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

Spotify Case Study
- 810 Services, 477 engineers
Microservice challenge: Service discovery
- Skydns
- Consul
Exercise: Resolve service with DNS
Security
- Goals
- Roles
- Attribute Based Access Control
- Policies
- Service Accounts
- Secrets
Forth Microservice challenge: Secrets
- Vault
- Kubernetes Secrets API
Exercise: Kubernetes – Store database credentials in cluster
Cluster Add-ons
- Cluster DNS
- Logging with Elasticsearch and Fluentd
- Container Level Monitoring
- cAdvisor
- InfluxDB
- Prometheus
Exercise: WordPress on Kubernetes
Managing state with disposable architectures
- Tradeoffs, standalone vs containerized databases
- CAP 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

This is a lab-intensive microservices training course. Professionals who take this course should have some familiarity with Docker, Kubernetes, and AWS before attending.

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

Professionals who may benefit include:

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

Adopt, plan or improve your transition to microservices
Map technical practices to the business strategy behind microservices
Navigate different tools for enabling microservices and how to use them
Communicate with stakeholders, management, and teams regarding needs and expectations around microservices
Build microservices with Docker, Kubernetes, Jenkins, and JFrog
Build more mature DevOps practices through microservice adoption
Refactor monolithic systems into more modular, component-based systems
Apply microservice use cases to continuous integration, delivery, and testing
Enable more automated testing and self-service QA capability

Reviews of our Microservices Engineering Boot Camp Course

I got familiar with the new terminologies that I was always curious to learn more about. I felt this was a good crash course that I could learn and build my base on.
Leena S.

The course gave me a high-level understanding, which was my main goal. The rest was a bonus.
Roy T.

I really enjoyed this course. The content was very relevant as our project is in the midst of a transition from Docker Swarm to Kubernetes-based Openshift. The focus on Kubernetes was extremely useful and will be able to apply it immediately.
Kyle M.