General Articles

Build a privacy-by-design data system — covering data minimization, anonymization, right-to-erasure, consent tracking, and GDPR compliance.

Build reliability into systems using chaos engineering — Chaos Monkey, fault injection, game days, and resilience testing in production.

Implement zero-trust principles — never trust, always verify — covering mTLS, service mesh, identity-based access, and microsegmentation.

Build a supply chain platform covering procurement, inventory tracking, supplier management, demand forecasting, and logistics optimization.

Best practices for designing developer-friendly API SDKs — error handling, retry logic, pagination, authentication, and idiomatic patterns.

Build an intelligent queue with priority handling, dead letter queues, poison message detection, back-pressure, and consumer scaling.

Build a headless CMS architecture — covering content modeling, versioning, multi-channel delivery, CDN publishing, and editorial workflows.

Build a comprehensive backup and DR strategy — covering RPO, RTO, backup types, cross-region replication, and disaster recovery testing.

Build a code review and approval workflow — covering pull request lifecycle, review assignment, automated checks, and merge policies.

Build an end-to-end ML pipeline — data collection, feature engineering, model training, evaluation, deployment, and model monitoring.

Build a programmatic advertising system — covering real-time bidding, ad targeting, auction mechanics, click tracking, and fraud prevention.

Build a globally unique ID generator — covering Twitter Snowflake, UUIDs, ULID, and database sequences for distributed systems.

Design a hierarchical caching system — L1 in-process cache, L2 distributed cache, L3 CDN — with coherence strategies and eviction policies.

Build a secure secrets management platform like HashiCorp Vault — covering encryption, dynamic secrets, secret rotation, and least-privilege access.

Build a workflow engine for complex business processes — covering DAG execution, step dependencies, human approvals, retries, and long-running workflows.

Build an IoT data ingestion and processing platform handling millions of device telemetry streams — covering MQTT, time-series storage, and alerting.

Build a large-scale batch processing pipeline using Apache Spark, MapReduce, and workflow orchestrators like Airflow for ETL and analytics.

Architecture for real-time multiplayer game servers — covering game loops, state synchronization, lag compensation, and anti-cheat systems.

Deep dive into eventual consistency — BASE properties, convergence, read-your-writes, monotonic reads, and practical consistency models.

Handle extreme traffic spikes for flash sales — covering pre-registration, virtual queuing, inventory atomicity, and traffic shaping.

Learn what Kubernetes operators are, how they extend the Kubernetes API, and how to design a custom operator for stateful application management.

Build a real-time collaborative document editor like Google Docs — covering operational transformation, CRDT, conflict resolution, and sync.

Build a digital wallet like PayPal or Apple Pay — covering balance management, transfers, currency handling, and KYC/AML compliance.

Understand P2P network architectures — structured vs unstructured, DHT (Distributed Hash Table), BitTorrent protocol, and NAT traversal.

Build a feature flag system for controlled rollouts — percentage rollouts, user targeting, kill switches, and A/B experiment integration.

Architecture for a HIPAA-compliant healthcare data system — covering PHI encryption, audit logging, consent management, and interoperability standards.

Build a navigation system like Google Maps — covering road graph representation, Dijkstra's algorithm, A*, traffic-aware routing, and ETA prediction.

Build a recurring billing engine — handling plan management, billing cycles, prorations, dunning, and invoice generation at scale.

Compare short polling, long polling, WebSockets, and Server-Sent Events for real-time data delivery — with use cases and architecture decisions.

Master API versioning approaches — URI versioning, header versioning, parameter versioning — with backward compatibility and deprecation strategies.

Build a real-time fraud detection engine using rule-based systems, ML anomaly detection, velocity checks, and device fingerprinting.

Architecture of an Instagram-like photo sharing platform — image upload, processing, CDN delivery, explore feed, and hashtag indexing.

Build a globally distributed system with active-active multi-region setup — covering traffic routing, data replication, conflict resolution, and latency.

Build a cloud data warehouse using dimensional modeling, ETL/ELT pipelines, star schemas, and OLAP query optimization for business intelligence.

Build a distributed cron-like scheduler — covering job persistence, leader election, missed job recovery, and exactly-once execution guarantees.

Build a transactional and bulk email delivery system — covering SMTP, MX records, deliverability, bounce handling, and unsubscribe management.

Build a high-performance shopping cart — covering guest vs authenticated carts, session management, price consistency, and cart merging.

Build a scalable content moderation pipeline using rule-based filters, ML classifiers, and human review queues for user-generated content.

Build a centralized configuration service like etcd or AWS AppConfig — covering versioning, hot reload, feature flags, and rollout controls.

Model social relationships — follows, friendships, mutual connections — using graph databases, adjacency lists, and traversal algorithms.

Build an automated CI/CD pipeline — source control triggers, build automation, testing, container builds, and progressive deployment.

Build a promotional engine that handles coupon codes, percentage discounts, flash sales, and anti-abuse mechanisms at scale.

Build a project management and issue tracking system — covering hierarchical tickets, workflows, assignments, search, and notification patterns.

Learn patterns for building multi-tenant SaaS applications — silo, bridge, and pool models, with tenant isolation, data separation, and scaling.

Compare Log-Structured Merge Trees and B-Trees — understanding write amplification, read amplification, and when each engine excels.

Master idempotency patterns — idempotency keys, at-least-once delivery, exactly-once semantics, and how to design safe retry-able APIs.

Architecture for Twitch-like live video streaming — covering ingest, transcoding, low-latency delivery, chat, and viewer scaling.

Build a full-text search engine from scratch — covering inverted indexes, TF-IDF ranking, tokenization, and query processing.

Build a centralized logging pipeline using Elasticsearch, Logstash, and Kibana (ELK Stack) to aggregate, search, and alert on logs at scale.

Understand how DNS works under the hood — recursive resolution, caching, TTL, authoritative servers, and how to design a custom DNS resolver.

A battle-tested framework for approaching any system design interview — from requirements gathering to deep-dive on bottlenecks and tradeoffs.

Build a location service to find nearby points of interest — covering geohashing, quadtrees, R-trees, and Uber H3 hexagonal indexing.

Master blue-green deployments, canary releases, rolling updates, and feature flags to deploy without service interruption.

Architecture for a high-frequency stock trading system — covering order matching engine, order book, market data, and low-latency design.

Understand Kubernetes components — control plane, worker nodes, pods, services, and how it orchestrates containerized microservices.

System design walkthrough for a hotel reservation platform — covering search, inventory management, double-booking prevention, and pricing.

Learn how to implement distributed locks using Redis SETNX, Redlock, and Zookeeper to coordinate access to shared resources.

Build a real-time analytics pipeline using Kafka, Apache Flink, and ClickHouse to power dashboards with sub-second query latency.

Compare GraphQL and REST API designs — covering over-fetching, under-fetching, N+1 problems, schema design, and when each excels.

Understand the Raft consensus algorithm and how it achieves fault-tolerant leader election and log replication in distributed systems.

Build a system like Prometheus + Grafana — covering time-series storage, metric collection, alerting, and dashboarding.

Understand Bloom filters and how they enable fast membership testing with minimal memory in systems like Cassandra, HBase, and Chrome.

Master single-leader, multi-leader, and leaderless database replication — with replication lag, conflict resolution, and failover strategies.

Understand how CDNs work — edge servers, origin pull, cache headers, invalidation, and how to design CDN-first applications.

Build a background job processing system like Celery or Sidekiq — covering job scheduling, retries, priorities, and worker management.

Understand the Two-Phase Commit protocol, its role in distributed ACID transactions, and why it's largely replaced by Saga in microservices.

Architect a distributed web crawler like Googlebot — covering URL frontier, politeness, content deduplication, and storage at petabyte scale.

Compare gRPC and REST for internal microservice communication — covering performance, schema enforcement, streaming, and use cases.

Build a gaming leaderboard that handles millions of score updates per second using Redis sorted sets and efficient ranking algorithms.

Architecture for a secure, reliable payment processing system — covering idempotency, double-spend prevention, reconciliation, and fraud detection.

Understand how Write-Ahead Logging ensures durability and crash recovery in PostgreSQL, MySQL, and other ACID-compliant databases.

Build a secure, scalable authentication system covering JWT, OAuth 2.0, refresh tokens, MFA, and session management.

Build a recommendation system like Netflix or Amazon — covering collaborative filtering, content-based filtering, and hybrid approaches.

Learn the Saga pattern — choreography and orchestration approaches — to manage distributed transactions across microservices.

Design a distributed file storage system like Google Drive or Dropbox — covering chunking, deduplication, sync, and metadata management.

Learn how to implement distributed tracing with OpenTelemetry, Jaeger, and Zipkin to debug microservices in production.

Build a distributed key-value store from scratch — covering consistent hashing, replication, conflict resolution, and gossip protocol.

Understand CQRS (Command Query Responsibility Segregation) and Event Sourcing patterns for scalable, auditable systems.

Architecture of an Uber-like ride-sharing system — covering geo-location, driver matching, surge pricing, and real-time tracking.

A developer's guide to B-Tree, hash, composite, and covering indexes — with query optimization strategies and real-world examples.

Architecture walkthrough for building a scalable e-commerce system — product catalog, cart, checkout, inventory, and order management.

Understand the circuit breaker pattern and how it prevents cascading failures in distributed microservices systems.

Deep dive into building a Netflix-like video streaming system — covering encoding, CDN delivery, adaptive bitrate, and storage.

Learn client-side and server-side service discovery patterns using tools like Consul, Eureka, and Kubernetes DNS.

A comprehensive system design walkthrough for building a Twitter-like platform — tweets, timelines, trending topics, and search.

Learn how to design a distributed caching layer using Redis or Memcached — covering eviction policies, replication, and cache patterns.

Understand what an API Gateway does and how to design it for authentication, routing, rate limiting, and protocol translation.

How Facebook and Instagram design personalized news feeds — covering fan-out on write vs read, ranking, and caching strategies.

Deep dive into event-driven systems using Apache Kafka — covering producers, consumers, partitions, and real-world patterns.

Explore Round Robin, Least Connections, IP Hash, and Weighted load balancing algorithms with real-world system design use cases.

Learn how Google-style search suggestions work — covering trie data structures, caching, and real-time indexing at scale.

Understand the fundamental differences between SQL and NoSQL databases, and learn how to pick the right one for your system.

Build a real-time chat system like WhatsApp or Slack — covering WebSockets, message storage, presence, and delivery guarantees.

Master horizontal database sharding strategies — range, hash, and directory-based — to scale databases beyond a single machine.

Explore how to build a scalable notification system that handles push, email, and SMS notifications for millions of users.

Learn how to design a rate limiter to protect APIs from abuse, covering token bucket, leaky bucket, and sliding window algorithms.

Master the CAP theorem and learn how it guides architectural decisions in distributed databases like MongoDB, Cassandra, and HBase.

Understand consistent hashing — the algorithm that powers distributed caching and load balancing in systems like DynamoDB and Cassandra.

A deep dive into designing a production-ready URL shortener like bit.ly, covering hashing, redirection, and analytics.

Understand the basics of databases, how they store data, and how modern applications interact with them.

Learn the fundamentals of microservices architecture and how it helps build scalable and flexible applications.

Learn how to implement a secure authentication system using JSON Web Tokens (JWT) in modern web applications.

Learn different caching strategies used in modern web applications to improve performance and reduce server load.

Understand the fundamental concepts of system design including scalability, caching, load balancing, and database optimization.

Learn how to structure and scale a professional Next.js application using feature-based architecture, TypeScript, and modern best practices.

Learn the basics of GraphQL and how it differs from REST APIs.

Learn how TypeScript generics help you write reusable and type-safe code.

Learn key principles for building scalable backend APIs using Node.js.

Improve application performance by using Redis as a caching layer in Node.js applications.

Understand the difference between client components and server components in Next.js.

Learn how Server Components in Next.js improve performance and reduce client-side JavaScript.

Master advanced TypeScript patterns for building scalable applications.

Learn how to use React Hooks to manage state and side effects in functional components.

Learn the differences between SSR, SSG, and CSR in modern web development and when to use each for faster and scalable web applications.