Repo Audit
Purpose: Assess the repository for SDE-3 / Senior Software Engineer system design interview readiness. Date: March 2025 Scope: All folders and files; alignment with senior-level expectations.
Executive Summary
The repository has a solid foundation with strong coverage of core concepts (databases, caching, distributed systems, observability), good HLD problems (URL shortener, distributed cache, notification service), and useful interview templates. To function as a complete SDE-3 knowledge base, it needs:
Dedicated deep docs for scalability principles, reliability/fault tolerance, performance optimization, and storage systems
Standalone building-block docs (load balancers, reverse proxies, message brokers, service discovery, API gateways, distributed locks, rate limiting, sharding, replication) with architecture diagrams and trade-offs
Expanded distributed concepts: idempotency, retry strategies, backpressure (beyond current coverage)
Structured interview framework (SYSTEM_DESIGN_INTERVIEW_FRAMEWORK.md) and scaling strategies section
Consistent structure across topics: Concept Overview → Core Principles → Real-World Usage → Trade-offs → Failure Scenarios → Performance → Implementation Patterns → Quick Revision
Senior-level insights in every topic: design trade-offs, cost, operational complexity, deployment, observability, resilience
1. Existing Topics (What Is Covered)
1.1 Core Concepts (core-concepts/)
core-concepts/)Fundamentals
fundamentals.md
Very broad (~5700+ lines)
Single large file covering IP, OSI, TCP/UDP, DNS, load balancing, clustering, caching, CDN, proxy, availability, scalability, storage, DB basics, replication, indexes, ACID/BASE, CAP, transactions, distributed transactions, sharding, consistent hashing, N-tier, message brokers, queues, pub-sub, ESB, monoliths, microservices, EDA, event sourcing, CQRS, API gateway, REST/GraphQL/gRPC, long polling/WebSockets/SSE, geohashing, circuit breaker, rate limiting, service discovery, SLA/SLO/SLI, disaster recovery, VMs/containers, OAuth/OIDC, SSO, SSL/TLS. Good breadth; many sections are short. No single-topic “deep dive” structure.
Databases
databases.md
Deep
SQL vs NoSQL, ACID/BASE, CAP, PACELC, replication (leader-follower, multi-leader, leaderless), sharding strategies, indexes (B-Tree, LSM), normalization vs denormalization, isolation levels, distributed transactions, selection guide. Well suited for interviews. Missing: Quick Revision, explicit failure scenarios section.
Caching & CDN
caching-cdn.md
Deep
Caching strategies (cache-aside, read-through, write-through, write-behind, refresh-ahead), invalidation, distributed caching, eviction policies, CDN (push/pull), Cache-Control, real-world examples, decision matrix, interview tips. Strong. Missing: Quick Revision, formal “Failure Scenarios” and “Performance Considerations” sections.
Networking
networking.md
Medium
OSI vs TCP/IP, TCP vs UDP, HTTP/1.1–HTTP/3, REST, GraphQL, gRPC, WebSockets, L4 vs L7 load balancing, API gateway. Concise; could be deepened with diagrams, failure modes, and performance numbers.
Security
security.md
Medium
Auth (session, JWT, mTLS), RBAC/ABAC/ACL, OAuth 2.0/OIDC flows, TLS, OWASP (SQLi, XSS, CSRF, DDoS), Zero Trust, secrets management. Good overview; could add threat modeling and more “when to use what.”
1.2 Advanced Topics (advanced-topics/)
advanced-topics/)Distributed Systems
distributed-systems.md
Deep
Consistency models (strong, sequential, causal, eventual, read-your-writes), Raft and Paxos, distributed transactions (2PC, 3PC, Saga, Outbox), time and ordering (Lamport, vector clocks, TrueTime), conflict resolution (LWW, CRDTs), ZooKeeper. Strong for SDE-3. Missing: Quick Revision, idempotency/retry/backpressure as first-class sections.
Consistency Models
distributed-systems/consistency-models.md
Exists
Separate deep dive (referenced in SUMMARY).
Distributed Transactions
distributed-systems/distributed-transactions.md
Exists
Separate deep dive (referenced in SUMMARY).
Observability
observability.md
Deep
Three pillars (metrics, logs, traces), SLI/SLO/SLA, Golden Signals, distributed tracing, alerting, tools. Production-focused. Missing: Quick Revision.
Chaos Engineering
chaos-engineering.md
Good
Principles, fault injection types, resilience patterns (circuit breaker, bulkhead, retry with backoff, fallback), Game Days, tools. Could be expanded with more “when to use” and Quick Revision.
Internals
internals/ (Kafka, Redis, Cassandra, PostgreSQL, Elasticsearch, ZooKeeper)
Varies
Valuable for “how does X work?” deep dives.
1.3 HLD Problems (hld-problems/)
hld-problems/)Easy
URL Shortener, Rate Limiter, Pastebin, Key-Value Store
URL shortener and rate limiter are detailed (requirements, capacity, API, schema, HLD, scaling, failure, cost). Others vary.
Medium
Notification Service, Twitter, YouTube, Instagram, WhatsApp
Notification service has good structure (API, queues, deduplication). Others present; depth varies.
Hard
Distributed Cache, Distributed Message Queue (Kafka), Payment, Ride Sharing, Google Drive, Chat
Distributed cache and message queue are strong (consistent hashing, replication, failover).
1.4 Interview Resources
HLD Template
interview-templates/hld-template.md
Step-by-step flow, requirements, estimation, API, data model, deep dives. Strong.
LLD Template
interview-templates/lld-template.md
LLD-focused checklist.
Capacity Estimation
interview-templates/capacity-estimation.md
Back-of-envelope calculations.
Trade-offs Cheat Sheet
interview-templates/trade-offs-cheat-sheet.md
Quick reference for trade-offs.
1.5 LLD / Design Patterns
OOP, SOLID, design patterns (creational, structural, behavioral), and many LLD problems (parking lot, rate limiter, elevator, etc.) are present and useful for full-loop interviews.
2. Missing or Incomplete Areas
2.1 Missing Core Areas (SDE-3 Alignment)
System Design Fundamentals (dedicated)
A single, structured “System Design Fundamentals” doc that defines scope, goals, and high-level process (clarify → estimate → design → scale → failover) without duplicating the entire fundamentals.md. Currently embedded inside the large fundamentals file.
Scalability Principles (dedicated)
Horizontal vs vertical scaling, when to scale what, scaling dimensions (read vs write, storage vs compute). Partially in fundamentals and databases but not one cohesive “Scalability Principles” doc with trade-offs and diagrams.
Storage Systems (beyond DB)
Object storage (S3-style), blob storage, file systems at scale, block storage. Google Drive problem exists but no standalone “Storage Systems” concept doc.
Reliability and Fault Tolerance (dedicated)
Redundancy, failover, RTO/RPO, health checks, graceful degradation. Circuit breaker and chaos are present; a single “Reliability and Fault Tolerance” doc is missing.
Performance Optimization (dedicated)
Latency vs throughput, tail latencies, connection pooling, batching, async I/O, profiling. Scattered; no single performance-optimization doc.
Networking (deeper)
DNS deep dive, TCP tuning, connection handling, timeouts. Networking doc is concise; could be expanded for senior depth.
2.2 Missing Building Blocks (as Standalone Deep Docs)
Each should include: architecture diagrams, advantages/disadvantages, real-world examples.
Load Balancers
In fundamentals + networking (L4/L7)
Add building-blocks/load-balancers.md with algorithms, health checks, failure modes.
Reverse Proxies
Mentioned in fundamentals
Add building-blocks/reverse-proxy.md (vs LB, use cases).
CDN
In caching-cdn.md
Consider building-blocks/cdn.md as a summary + pointer to caching-cdn.
Caching Layers
In caching-cdn.md
Consider building-blocks/caching-layer.md as summary + pointer.
Message Brokers
In fundamentals (high level)
Add building-blocks/message-brokers.md (Kafka vs RabbitMQ vs SQS, at-least-once, exactly-once).
Service Discovery
Mentioned in fundamentals
Add building-blocks/service-discovery.md (client-side vs server-side, Consul, etc.).
API Gateways
In networking
Add building-blocks/api-gateway.md (responsibilities, patterns, examples).
Distributed Locks
In distributed-systems (ZooKeeper)
Add building-blocks/distributed-locks.md (use cases, implementations, pitfalls).
Rate Limiting
In rate-limiter HLD + fundamentals
Add building-blocks/rate-limiting.md (algorithms, token bucket, sliding window, distributed).
Sharding
In databases
Add building-blocks/sharding.md (strategies, rebalancing, trade-offs).
Replication
In databases
Add building-blocks/replication.md (sync vs async, topologies, trade-offs).
2.3 Distributed Systems Concepts (Expand)
Idempotency: Mentioned in notification service; needs a clear “Idempotency” section (why, how, idempotency keys) in a dedicated doc or under distributed-systems.
Retry Strategies: In chaos-engineering (exponential backoff + jitter); deserves its own short doc or section (when to retry, when not, idempotency requirement).
Backpressure: Often missing; add a section on flow control, backpressure in streams/queues, and how services handle overload.
2.4 Case Studies (Completeness)
URL Shortener
✅ Strong
Keep; add “Improvements” and “Bottlenecks” if not already.
Distributed Cache
✅ Strong
Same.
Messaging System
✅ Exists
Kafka-style problem; ensure it has full walkthrough (requirements → scaling → bottlenecks → improvements).
Notification Service
✅ Good
Same.
Rate Limiter
✅ Exists
Ensure full structure (requirements, HLD, API, scaling, bottlenecks, improvements).
File Storage System
✅ Exists
Google Drive; ensure full structure.
Social Media Feed
✅ Exists
Twitter/Instagram; ensure consistent depth.
Video Streaming
✅ Exists
YouTube; ensure consistent depth.
Search System
⚠️ Partial
LLD “Design Search Engine” exists; add or link HLD “Search System” with indexing, ranking, scaling.
Ride Sharing
✅ Exists
Ensure full structure.
2.5 Interview Framework
SYSTEM_DESIGN_INTERVIEW_FRAMEWORK.md does not exist. The HLD template is close but not framed as “how to approach the interview” (clarify → estimate → high-level design → bottlenecks → trade-offs → deep dive → scaling and failure). Recommendation: Add this file at repo root or under
interview-templates/.
2.6 Scaling Strategies (Dedicated Section)
Horizontal vs vertical, database sharding, replication strategies, partitioning, caching strategies, queue-based architectures, asynchronous processing are spread across fundamentals and databases. Recommendation: Add a dedicated
scaling-strategies.md(or a smallscaling/section) that ties these together with pros/cons and when to use each.
2.7 Shallow or Outdated Spots
fundamentals.md: Some sections are one short paragraph; images reference external URLs (e.g. GitBook). Consider breaking into smaller topic files and/or ensuring each section has “why it exists,” “trade-offs,” and “failure scenarios.”
SUMMARY.md: References
distributed-systems/consistency-models.mdanddistributed-systems/distributed-transactions.md(correct paths); ensure all internal links work.README.md: Mentions
consensus-protocols.mdunder advanced-topics; verify file exists or add it (consensus is currently inside distributed-systems.md).
3. Recommended Additions (Priority Order)
High Priority
SYSTEM_DESIGN_INTERVIEW_FRAMEWORK.md – How to run the interview (clarify → estimate → HLD → bottlenecks → trade-offs → deep dive → scaling/failure).
building-blocks/ – Load balancers, message brokers, service discovery, API gateway, distributed locks, rate limiting (with diagrams, pros/cons, examples).
scaling-strategies.md (or
scaling/scaling-strategies.md) – Horizontal vs vertical, sharding, replication, partitioning, caching, queues, async.Distributed concepts doc (or sections) – Idempotency, retry strategies, backpressure.
Reliability and Fault Tolerance – Single doc covering redundancy, failover, RTO/RPO, degradation.
Medium Priority
Scalability Principles – One doc tying together scaling dimensions and principles.
Performance Optimization – Latency, throughput, batching, connection pooling, async.
Storage Systems – Object/blob storage, file systems at scale (can reference Google Drive).
Expand case studies – Ensure each has: requirements, HLD, API, data model, scaling, bottlenecks, improvements.
Search System (HLD) – Full system design for search (indexing, ranking, scaling).
Lower Priority
Quick Revision – Add “Quick Revision” at the end of every major topic (core concepts, advanced topics, building blocks).
Senior insights – In each topic: design trade-offs, cost, operational complexity, deployment, observability, resilience.
Unify topic structure – Where possible, use: Concept Overview → Core Principles → Real-World Usage → Trade-offs → Failure Scenarios → Performance → Implementation Patterns → Quick Revision.
4. Summary Table
System Design Fundamentals
Broad coverage in fundamentals.md
Dedicated “fundamentals” doc; structured process
Scalability
In fundamentals + databases
Dedicated scalability principles + scaling strategies doc
Distributed Systems
Strong (consistency, consensus, transactions)
Idempotency, retry, backpressure as first-class
Storage
DB-heavy
Object/blob/file storage at scale
Networking
Good overview
Deeper DNS, TCP, timeouts
Reliability / Fault Tolerance
Circuit breaker, chaos
Single reliability/fault-tolerance doc
Observability
Strong
Quick Revision section
Performance
Scattered
Single performance-optimization doc
Security
Good
More “when to use,” threat modeling
Building Blocks
Mixed in other docs
Standalone LB, proxy, CDN, cache, brokers, discovery, gateway, locks, rate limit, sharding, replication
Case Studies
Many present
Consistent structure; add Search HLD
Interview Framework
HLD template
SYSTEM_DESIGN_INTERVIEW_FRAMEWORK.md
Quick Revision
Largely absent
Add to every major topic
Senior Insights
Some in problems
Trade-offs, cost, ops, deployment in every topic
5. Next Steps (Implementation)
Create SYSTEM_DESIGN_INTERVIEW_FRAMEWORK.md.
Create building-blocks/ and add the 10+ building-block documents.
Add scaling-strategies.md and reliability-fault-tolerance.md (and optionally scalability-principles.md, performance-optimization.md, storage-systems.md).
Add or expand idempotency, retry strategies, and backpressure (in distributed-systems or a new doc).
Expand case studies to the standard structure; add Search System HLD if missing.
Add Quick Revision and Senior Engineer Insights to existing and new topic files.
Optionally split or refactor fundamentals.md into smaller, structured files for easier maintenance and interview prep.
This audit is the basis for transforming the repository into a complete SDE-3 system design knowledge base.
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