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Level 101
Level 101
- 基本シリーズ
  基本シリーズ
  - Linux の基礎
    Linux の基礎
    
    はじめに
    
    コマンドラインの基礎
    
    Server Administration
    
    Conclusion
  - Git
    Git
    
    Git Basics
    
    Working With Branches
    
    Github and Hooks
    
    Conclusion
  - Linux Networking
    Linux Networking
    
    Introduction
    
    DNS
    
    UDP
    
    HTTP
    
    TCP
    
    Routing
    
    Conclusion
- Python and Web
  Python and Web
- Data
  Data
  - Relational Databases
    Relational Databases
    
    Introduction
    
    Key Concepts
    
    MySQL
    
    InnoDB
    
    Backup and Recovery
    
    MySQL Replication
    
    Operational Concepts
    Operational Concepts
    
    Select Query
    
    Query Performance
    
    Lab
    
    Conclusion
  - NoSQL
    NoSQL
    
    Introduction
    
    Key Concepts
    
    Conclusion
  - Big Data
    Big Data
    
    Introduction
    
    Evolution and Architecture of Hadoop
    
    Conclusion
- Systems Design
  Systems Design
- Metrics and Monitoring
  Metrics and Monitoring
- Security
  Security
Level 102
Level 102
- Linux Intermediate
  Linux Intermediate
- Linux Advanced
  Linux Advanced
  - Containerization And Orchestration
    Containerization And Orchestration
    
    Introduction
    
    Introduction To Containers
    
    Containerization With Docker
    
    Orchestration With Kubernetes
    
    Conclusion
  - System Calls and Signals
    System Calls and Signals
    
    Introduction
    
    Signals
    
    System Calls
    
    Conclusion
- Networking
  Networking
- System Design
  System Design
- System Troubleshooting and Performance Improvements
  System Troubleshooting and Performance Improvements
- Continuous Integration and Continuous Delivery
  Continuous Integration and Continuous Delivery
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Code of Conduct
SRE Community

Conclusion

Armed with these principles, we hope the course will give a fresh perspective to design software systems. It might be over-engineering to get all this on day zero. But some are really important from day 0 like eliminating single points of failure, making scalable services by just increasing replicas. As a bottleneck is reached, we can split code by services, shard data to scale. As the organization matures, bringing in chaos engineering to measure how systems react to failure will help in designing robust software systems.