Microservices Engineering Boot Camp, Hong Kong

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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. 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.

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.

Although it is not mandatory, students who have completed the self-paced Fundamentals of DevOps eLearning course have found it very helpful when completing this course.

Fundamentals of DevOps

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
Get hands-on practice with Docker, Kubernetes, Jenkins, and JFrog tools for core microservices architecture
Get hands-on practice with the toolchain in our real-world application labs
Build more mature DevOps practices through microservice adoption
Understand how to 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

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

Microservices Engineering Boot Camp Training Course in Hong Kong

Hong Kong is officially known as the Hong Kong Special Administrative Region of the People's Republic of China (HKSAR) and is a city and special administrative region of China on the eastern Pearl River Delta in South China. Hong Kong is one of the most densely populated places in the world, with over 7.5 million population. The official languages of the HKSAR are Chinese and English. Hong Kong is a highly developed territory and ranks fourth on the United Nations Human Development Index and the residents of Hong Kong have the highest life expectancies in the world.

The best time to visit Hong Kong is from September to December, since the temperatures, averaging between 19 to 28 degree Celsius. During this outdoor activities-friendly travelling season, you can take a walk along Victoria Harbour, visit the islands of Lantau, Lamma and Cheung Chau and participate in the Mid-Autumn Festival. Top choices of the tourists to visit in Hong Kong are Big Buddha statue, Wong Tai Sin Temple, Repulse Bay and the Beaches and Hong Kong Disneyland.

Explore our diverse range of IT courses, encompassing programming, software development, cyber security, data science, business skills, and Agile/Scrum. Wherever you are in Hong Kong, our seasoned instructors will bring practical training and expert knowledge to your preferred training venue.

Microservices Engineering Boot Camp Training in Hong Kong

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Microservices Engineering Boot Camp Training in Hong Kong

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