Backend Engineering
API design, databases, security, caching, and performance optimization.
Backend engineering encompasses the server-side development, data management, and system architecture that power modern applications. This section covers the essential patterns, practices, and technologies for building robust, scalable, and secure backend systems.
🔒 Backend Security
Security fundamentals and best practices for backend systems.
🌐 API Design
Design principles and patterns for building effective APIs.
REST APIs
RESTful design principles and best practices.
GraphQL
Schema design, resolvers, and query optimization.
gRPC
High-performance RPC with Protocol Buffers.
🗄️ Databases
Data persistence and database management strategies.
SQL Tuning
Query optimization, indexing, and performance tuning.
NoSQL Patterns
Document, key-value, and graph database patterns.
ORMs
Object-relational mapping and data access patterns.
⚡ Caching
Strategies and patterns for effective caching implementations.
Caching Strategies
Cache-aside, write-through, and cache invalidation patterns.
Redis Patterns
Redis data structures and usage patterns.
CDN Caching
Content delivery networks and edge caching.
Distributed Caching
Multi-node caching and consistency strategies.
📊 Performance Optimization
Techniques for optimizing backend performance and scalability.
Load Balancing
Algorithms and strategies for traffic distribution.
Scaling Strategies
Vertical vs horizontal scaling and auto-scaling patterns.
Connection Pooling
Database and service connection management.
Async Patterns
Event-driven architectures and non-blocking I/O.
🔍 Monitoring & Observability
Monitoring and profiling for backend systems.