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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/)

Topic
File
Depth
Notes

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/)

Topic
File
Depth
Notes

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/)

Difficulty
Examples
Depth

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

Resource
Location
Notes

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)

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Performance Optimization (dedicated)

    • Latency vs throughput, tail latencies, connection pooling, batching, async I/O, profiling. Scattered; no single performance-optimization doc.

  6. 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.

Building Block
Current State
Recommendation

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)

System
Status
Note

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 small scaling/ 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.md and distributed-systems/distributed-transactions.md (correct paths); ensure all internal links work.

  • README.md: Mentions consensus-protocols.md under advanced-topics; verify file exists or add it (consensus is currently inside distributed-systems.md).


High Priority

  1. SYSTEM_DESIGN_INTERVIEW_FRAMEWORK.md – How to run the interview (clarify → estimate → HLD → bottlenecks → trade-offs → deep dive → scaling/failure).

  2. building-blocks/ – Load balancers, message brokers, service discovery, API gateway, distributed locks, rate limiting (with diagrams, pros/cons, examples).

  3. scaling-strategies.md (or scaling/scaling-strategies.md) – Horizontal vs vertical, sharding, replication, partitioning, caching, queues, async.

  4. Distributed concepts doc (or sections) – Idempotency, retry strategies, backpressure.

  5. Reliability and Fault Tolerance – Single doc covering redundancy, failover, RTO/RPO, degradation.

Medium Priority

  1. Scalability Principles – One doc tying together scaling dimensions and principles.

  2. Performance Optimization – Latency, throughput, batching, connection pooling, async.

  3. Storage Systems – Object/blob storage, file systems at scale (can reference Google Drive).

  4. Expand case studies – Ensure each has: requirements, HLD, API, data model, scaling, bottlenecks, improvements.

  5. Search System (HLD) – Full system design for search (indexing, ranking, scaling).

Lower Priority

  1. Quick Revision – Add “Quick Revision” at the end of every major topic (core concepts, advanced topics, building blocks).

  2. Senior insights – In each topic: design trade-offs, cost, operational complexity, deployment, observability, resilience.

  3. 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

Category
Existing
Missing / To Improve

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)

  1. Create SYSTEM_DESIGN_INTERVIEW_FRAMEWORK.md.

  2. Create building-blocks/ and add the 10+ building-block documents.

  3. Add scaling-strategies.md and reliability-fault-tolerance.md (and optionally scalability-principles.md, performance-optimization.md, storage-systems.md).

  4. Add or expand idempotency, retry strategies, and backpressure (in distributed-systems or a new doc).

  5. Expand case studies to the standard structure; add Search System HLD if missing.

  6. Add Quick Revision and Senior Engineer Insights to existing and new topic files.

  7. 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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