System DesignLearning Roadmap

Vertical vs horizontal scaling, auto-scaling strategies

Fault tolerance, redundancy, disaster recovery

Optimization techniques, performance monitoring

Consistency, Availability, Partition tolerance trade-offs

Relational design, normalization, schema design

When to use different database types

B-trees, hash indexes, query optimization

Master-slave, master-master, sync vs async

Horizontal partitioning strategies

Strong, eventual, causal consistency

ACID properties, 2PC, Saga pattern

Cache-aside, write-through, write-back patterns

TTL, cache coherence, invalidation strategies

Content delivery networks, edge computing

Redis, Memcached, consistent hashing

Round-robin, weighted, least connections

DNS, geographic, anycast routing

Request routing, authentication, rate limiting

Token bucket, leaky bucket, sliding window

RabbitMQ, Amazon SQS, reliability patterns

Apache Kafka, event sourcing, CQRS

WebSockets, Server-Sent Events, long polling

REST, GraphQL, gRPC, service mesh

Service decomposition, bounded contexts

Service registration, health checks, load balancing

Failure handling, fault isolation, resilience

Resource isolation, failure compartmentalization

Exponential backoff, jitter, circuit breaking

JWT, OAuth 2.0, session management

RBAC, ABAC, permission inheritance

XSS, CSRF, SQL injection prevention

Hashing, encryption, digital signatures

TOTP, SMS, biometric authentication

Full-text search, indexing, relevance scoring

Trie data structures, caching, performance

Collaborative filtering, content-based, real-time

PageRank, machine learning ranking

Metrics, logging, alerting strategies

Request tracing, correlation IDs, debugging

Centralized logging, ELK stack, log analysis

Service health monitoring, dependency checks

Raft, Paxos, leader election

Real-time data processing, Apache Storm/Flink

Time-series databases, compression, retention

FaaS, Lambda, serverless patterns