Course Outline
Introduction
- Scale, resilience, speed, and cost.
Overview of Cloud Native Architecture and Concepts
- Infrastructure-as-a-service
- Microservices architecture
- Automation
- Containerization
- Orchestration
Assessing the Requirements
Evaluating Existing Talent, Tools, and Processes
Infrastructure-as-a-Service (IaaS)
- AWS
- OpenStack
Microservice Architecture
- Event store and event sourcing
- Active/active data replication
Automation: Continuous Integration Tools and Processes
- Overview of continuous integration, deployment, and testing
- Jenkins
Containerization: Engines and Orchestrators
- Linux containers and clusters
- Docker, Kubernetes and others
- Using scripts to set up the environment (infrastructure-as-code)
Case Study: Uber
Scaling an Existing Application
- Supporting new users, devices, and regions.
Accelerating Time-to-Market
- Incremental improvements
- Managing risks
Improving Margins
- Reducing operating costs
- Moving toward on-demand expenditure
Case Stuy: Netflix
Multicloud Deployment
Troubleshooting
Communicating with Business Stakeholders
Keeping up with the Latest Developments
- Cloud Native Computing Foundation
- Open Container Initiative
Summary and Conclusion
Requirements
- An understanding of general cloud computing concepts.
- System administration experience.
- Experience with Linux command line.
- An general understanding of web application deployment processes.
Audience
- Developers
- Cloud architects
- DevOps engineers and managers
- System administrators
Testimonials (3)
The manual serverless setup. Also, I had no Idea sls web console exits, which is nice.
Rafał Kucharski - The Software House sp. z o.o.
Course - Serverless Framework for Developers
very friendly and helpful
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
IOT applications