Learn the core principles of building scalable systems and applications.
- What is scalability?
- Horizontal vs vertical scaling
- Scalability dimensions
- Performance vs scalability
- Bottleneck identification
- Capacity planning
- Scalability metrics
- Design considerations
Distribute traffic efficiently across multiple servers and services.
- Load balancing concepts
- Round robin algorithms
- Weighted distribution
- Health checks
- Session persistence
- Geographic distribution
- Auto-scaling integration
- Load balancer types
Scale databases effectively using replication, sharding, and partitioning.
- Database bottlenecks
- Read replicas
- Master-slave replication
- Horizontal partitioning
- Sharding strategies
- NoSQL scaling
- Database clustering
- ACID vs BASE
Implement various caching strategies to improve performance and reduce load.
- Caching fundamentals
- Cache-aside pattern
- Write-through caching
- Write-behind caching
- Distributed caching
- Cache invalidation
- CDN strategies
- Cache hierarchies
Design and implement microservices for scalable, maintainable systems.
- Microservices principles
- Service decomposition
- Service communication
- API gateway patterns
- Service discovery
- Data management
- Distributed transactions
- Service mesh
Implement asynchronous communication patterns for scalable systems.
- Message queue concepts
- Publish-subscribe patterns
- Event-driven architecture
- Message brokers
- Stream processing
- Event sourcing
- CQRS pattern
- Saga patterns
Understand the challenges and solutions in distributed system design.
- CAP theorem
- Consistency models
- Eventual consistency
- Consensus algorithms
- Distributed locks
- Vector clocks
- Split-brain problems
- Fault tolerance
Implement automatic scaling based on demand and performance metrics.
- Auto-scaling principles
- Scaling triggers
- Metrics-based scaling
- Predictive scaling
- Container orchestration
- Serverless scaling
- Cost optimization
- Scaling policies
Optimize system performance through various techniques and strategies.
- Performance profiling
- Bottleneck analysis
- Resource optimization
- Code optimization
- Database optimization
- Network optimization
- Memory management
- Monitoring strategies
Design applications for cloud environments with native scaling capabilities.
- Cloud-native principles
- 12-factor app methodology
- Container strategies
- Kubernetes scaling
- Serverless architectures
- Multi-cloud strategies
- Cloud services integration
- Cost optimization
Implement comprehensive monitoring for scalable distributed systems.
- Observability principles
- Metrics collection
- Distributed tracing
- Log aggregation
- Performance monitoring
- Alerting strategies
- SLA/SLO management
- Capacity monitoring
Apply scalability principles to real-world system design scenarios.
- Social media platforms
- E-commerce systems
- Chat applications
- Video streaming
- Search engines
- IoT platforms
- Financial systems
- Gaming backends