Welcome to your comprehensive learning journey from programming fundamentals to system design expertise! This repository contains 100+ carefully curated files organized into logical categories, covering everything you need to become a senior software engineer.
New to this repository? Start here:
- π LEARNING_PATH.md - Complete 9-phase learning guide (40+ weeks)
- π― fundamentals.md - System design fundamentals
- ποΈ TOPIC_INDEX.md - Quick topic finder and cross-references
This repository is organized into 14 specialized directories for easy navigation:
/architectures/ - Software Architecture & Design Patterns
- Clean Architecture principles
- Microservices patterns (CQRS, Event Sourcing, Outbox Pattern)
- Sidecar and Bulkhead patterns
- Architecture decision frameworks
/system-designs/ - System Design Concepts
- High-level design approaches
- API performance optimization
- Scalability patterns and trade-offs
- Real-world case studies (YouTube, Payment Systems)
/database/ - Database Design & Optimization
- ACID properties and database theorems
- Indexing strategies and sharding
- NoSQL vs SQL decision frameworks
- Data concepts and governance
/distributed-systems/ - Distributed Systems Concepts
- Consensus algorithms (Raft, PBFT)
- Network protocols and load balancing
- Consistency models and CAP theorem
- Fault tolerance and resilience patterns
/dsa/ - Data Structures & Algorithms
- 21 comprehensive files covering arrays, trees, graphs
- Problem-solving patterns and techniques
- Dynamic programming and greedy algorithms
- Interview-focused implementations
/oops/ - Object-Oriented Programming & Design Patterns
- Gang of Four design patterns
- SOLID principles with case studies
- Concurrency patterns
- Real-world OOP implementations
/dotnet/ - .NET Ecosystem & Best Practices
- 17 specialized files for .NET developers
- C# best practices and coding standards
- Angular fundamentals and JWT implementation
- Container fundamentals and cloud-native patterns
/devops/ - DevOps & Infrastructure
- Containerization with Docker and ECS
- Monitoring and observability
- Disaster recovery strategies
- Operational excellence frameworks
/gitops/ - GitOps & CI/CD
- Complete GitOps implementation with real examples
- Jenkins, ArgoCD, Helm, Istio configurations
- End-to-end workshop and integration guides
- Production-ready .NET API example
/performance/ - Performance & Optimization
- Caching strategies and implementation
- Background job processing
- Batch vs stream processing
- Performance monitoring techniques
/security/ - Security & Authentication
- mTLS authentication patterns
- Security best practices
- Encryption and secure communication
- Compliance frameworks
/AI/ - Artificial Intelligence & Gen AI
- Generative AI concepts and applications
- AI integration patterns
- Modern AI development practices
/career/ - Career Development
- Senior engineer responsibilities
- Engineering leadership principles
- Technical blog resources
- Career progression frameworks
/interviews/ - Interview Preparation
- Company-specific guides (Google, Microsoft, Visa, Atlassian)
- System design interview strategies
- Low-level design problems
- Mock interview scenarios
/solutions/ - Code Implementations
- Core programming solutions in C#
- .NET POCs and sample applications
- Frontend implementations
- System design implementations
/use-cases/ - Real-World Applications
- Payment system architectures
- Dynamic request routing
- Practical implementation scenarios
/resources/ - References & Additional Materials
- API design guidelines
- Docker explanations
- Logging best practices
- Curated article collections
1. fundamentals.md β 2. /dsa/ β 3. /oops/ β 4. /dotnet/ (if applicable)
1. /architectures/ β 2. /system-designs/ β 3. /distributed-systems/ β 4. /performance/
1. /system-designs/ β 2. /distributed-systems/ β 3. /career/ β 4. /interviews/
1. /devops/ β 2. /gitops/ β 3. /security/ β 4. /performance/
1. /interviews/ β 2. /dsa/ β 3. /system-designs/ β 4. /solutions/
- 100+ files covering all aspects of software engineering
- From basic algorithms to advanced distributed systems
- Real-world examples and case studies
- Clear learning paths for different experience levels
- Progressive difficulty with prerequisites
- Estimated time commitments for each section
- Industry best practices from top companies
- Production-ready code examples
- Hands-on workshops and implementations
- Company-specific interview guides
- System design interview preparation
- Coding problem solutions with explanations
- Language-agnostic core concepts
- Specialized content for .NET, JavaScript, Python
- Cloud platforms: AWS, Azure, GCP examples
| Category | Files | Key Topics |
|---|---|---|
| Data Structures & Algorithms | 21 | Arrays, Trees, DP, Graphs |
| .NET Development | 17 | C#, Angular, Containers, JWT |
| System Design | 15+ | Scalability, APIs, Databases |
| Architecture Patterns | 10+ | Microservices, CQRS, Clean Architecture |
| Interview Preparation | 10+ | Google, Microsoft, Visa, Atlassian |
| DevOps & GitOps | 25+ | Docker, Kubernetes, CI/CD, Monitoring |
| Distributed Systems | 12+ | Consensus, CAP, Consistency Models |
- Read LEARNING_PATH.md for the complete roadmap
- Start with fundamentals.md
- Follow Phase 1 of the learning path
- Use TOPIC_INDEX.md to find specific topics
- Jump to relevant directories based on your needs
- Focus on system-designs/ and distributed-systems/
- Start with interviews/README.md
- Practice problems in dsa/
- Study system design cases in system-designs/
After completing this learning repository, you will be able to:
- β Design scalable distributed systems handling millions of users
- β Solve complex algorithmic problems in technical interviews
- β Implement secure, maintainable applications using best practices
- β Lead technical architecture decisions and mentor junior developers
- β Pass interviews at top tech companies (FAANG, unicorns)
- β Build production-ready systems with proper DevOps practices
Looking for something specific? Use these quick links:
| Topic | Location | Key Files |
|---|---|---|
| Algorithms | /dsa/ |
dynamic-programming.md, tree-basic-to-advanced.md |
| System Design | /system-designs/ |
api-performance.md, scalability.md |
| Microservices | /architectures/ |
microservices.md, cqrs-with-event-sourcing-pattern.md |
| Databases | /database/ |
overview.md, sharding.md, indexing.md |
| Security | /security/ |
overview.md, mlts-auth.md |
| DevOps | /devops/, /gitops/ |
containerization.md, example/workshop.md |
| Interviews | /interviews/ |
Google-Staff-Engineer-interview.md |
| .NET | /dotnet/ |
c-sharp-best-coding-practices.md |
Track your progress through the repository:
- Phase 1: Fundamentals (4 weeks)
- Phase 2: Data Structures & Algorithms (8 weeks)
- Phase 3: OOP & Design Patterns (4 weeks)
- Phase 4: System Design Fundamentals (8 weeks)
- Phase 5: Distributed Systems (8 weeks)
- Phase 6: Cloud & DevOps (4 weeks)
- Phase 7: Security (2 weeks)
- Phase 8: Advanced Topics (4 weeks)
- Phase 9: Interview Preparation (2 weeks)
This repository is actively maintained and updated with:
- New system design patterns and case studies
- Latest industry best practices
- Additional interview preparation materials
- More code examples and implementations
- β Star this repository for easy access
- π Read LEARNING_PATH.md for your personalized journey
- ποΈ Browse TOPIC_INDEX.md for quick topic access
- π Start with your appropriate learning path
- π Track your progress and practice regularly
π Start with LEARNING_PATH.md for the complete roadmap
π Browse TOPIC_INDEX.md for quick topic access
π Check fundamentals.md for system design basics
This repository represents a comprehensive collection of software engineering knowledge, carefully organized for progressive learning. Whether you're preparing for interviews, advancing your career, or building production systems, you'll find the resources you need here.
Happy Learning! π