System Design: Instagram Architecture Deep Dive
How Instagram scaled Django to 2B+ users. Covers feed generation, image processing pipelines, Stories architecture, and PostgreSQL sharding strategies.
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How Instagram scaled Django to 2B+ users. Covers feed generation, image processing pipelines, Stories architecture, and PostgreSQL sharding strategies.
How Netflix evolved from DVD rental to a global streaming platform serving 250M+ subscribers. Covers microservices, Open Connect CDN, recommendations, and Chaos Engineering.
How Spotify streams 100M+ songs to 600M+ users. Covers audio streaming, Discover Weekly ML, the squad/tribe model, event-driven architecture, and offline mode.
How Twitter delivers 500M tweets/day to 300M+ timelines. Covers the fanout problem, hybrid push/pull, real-time search with EarlyBird, and the celebrity tweet challenge.
How Uber matches millions of riders with drivers in real-time. Covers geospatial indexing with H3, surge pricing, ETA prediction, and their migration from Python to Go.
How WhatsApp served 2 billion users with just 50 engineers. Covers Erlang/BEAM concurrency, end-to-end encryption, message delivery, and extreme engineering efficiency.
How YouTube serves 1B+ hours of video per day. Covers the video upload pipeline, adaptive bitrate streaming, recommendation engine, and live streaming architecture.
Production-ready Airflow patterns covering DAG design, performance optimization, monitoring, testing, deployment strategies, and comparison with alternatives.
Master Apache Kafka performance tuning with partition strategies, producer and consumer optimization, compression trade-offs, and real-world architecture patterns.
Configure SSL/TLS encryption, SASL authentication with SCRAM-SHA-256, and ACL authorization to secure your Apache Kafka cluster in production.
Learn Kafka Streams for real-time data processing including KStream, KTable, windowed aggregations, joins, exactly-once semantics, and state stores with Java examples.
Design a distributed key-value store like DynamoDB or Redis Cluster. Covers partitioning, replication, consistency models, conflict resolution, and failure handling.
Design a proximity service like Google Maps nearby search — geohashing, quadtrees, spatial indexing, and scaling location-based queries to millions of users.
Design a web crawler like Googlebot — URL frontier, politeness, deduplication, distributed architecture, and strategies for crawling billions of pages.
Go beyond basic content collections: schema references between collections, computed fields, custom loaders, advanced querying patterns, and full type safety across your Astro project.
How Astro integrations work under the hood: using official integrations, configuring MDX and Tailwind, and building your own custom integration with lifecycle hooks.
Deep dive into Astro View Transitions: custom animations, transition groups, lifecycle events, fallback behavior, and production patterns for smooth page navigation.
Master interactive rebase, autosquash, fixup commits, and rebase --onto for clean Git history. Advanced techniques for rewriting, reorganizing, and cleaning up commits.
Improve RAG retrieval quality with advanced techniques: query expansion, multi-query retrieval, cross-encoder reranking, and reciprocal rank fusion.
Master JavaScript Proxy and Reflect API for metaprogramming with practical examples including validation, observable objects, and access control patterns.
Master advanced TypeScript generics patterns including conditional constraints, recursive types, generic factories, and type-safe builder patterns with examples.
Build custom Git hooks that integrate with CI/CD pipelines: server-side hooks, push-based triggers, branch protection enforcement, and automated deployment gates.
Manage large Git monorepos with sparse checkout, partial clone, subtrees, CODEOWNERS, and scaling strategies that keep performance acceptable as the repo grows.
Advanced git rebase strategies for teams: interactive rebase workflows, rebase --onto, autosquash, and policies that keep shared branches clean without rewriting public history.
Go beyond basic filtering and mapping with advanced Stream API patterns including custom collectors, parallel streams, and stateful operations.
Build flexible, composable React components using the compound components pattern with Context, implicit state sharing, and controlled inversion.
Production-grade Error Boundary patterns for React apps including granular placement, retry logic, error reporting, and integration with Suspense and routing.
Practical architecture patterns for React Server Components including composition strategies, data flow boundaries, and migration approaches for production apps.
Master advanced React Suspense patterns including nested boundaries, SuspenseList coordination, transition integration, and skeleton architecture for complex UIs.
Advanced testing patterns with React Testing Library including custom render wrappers, async flows, portals, context-heavy components, and integration testing.
Design a CDN that serves static and dynamic content from edge locations worldwide. Covers caching tiers, cache invalidation, origin shielding, and anycast routing.
Design a real-time collaborative editor like Google Docs. Covers conflict resolution with CRDTs and OT, presence awareness, cursor synchronization, and offline editing support.
Design a scalable Domain Name System. Covers recursive and authoritative resolution, zone file management, caching, anycast deployment, and handling billions of lookups daily.
Design an object storage system like Amazon S3. Covers metadata management, data placement, erasure coding, consistency models, and multi-tenant isolation at petabyte scale.
Practical Go generics patterns for production code: type-safe collections, result types, repository layers, and functional helpers.
Go beyond basic conditional types with infer, recursive conditionals, and distributive patterns to build powerful type-level programs.
Master template literal types to build type-safe string patterns for routes, events, CSS values, and API endpoints in TypeScript.
Master segment trees for range queries and updates. Covers build, query, update, lazy propagation, and applications for range sum, min, and max problems.
Master Go concurrency — goroutines, channels, select, WaitGroups, mutexes, and common patterns like fan-out/fan-in and worker pools.
A hands-on guide to fine-tuning large language models using LoRA, QLoRA, and Hugging Face. Covers dataset preparation, training configuration, evaluation, and deployment considerations.
A complete guide to parallel routes in Next.js App Router: @slots, simultaneous rendering, conditional slots, loading and error states, intercepting routes, and advanced layout patterns.
Scale Node.js applications across CPU cores with the cluster module. Covers worker management, load balancing, zero-downtime restarts, and PM2.
Go beyond basic decorators: decorator factories, class decorators, functools.wraps, stacking behavior, and real-world patterns used in production Python code.
Learn async Rust — futures, async/await syntax, the tokio runtime, spawning tasks, channels, and common async patterns.
Practical SQL query optimization: reading EXPLAIN plans, choosing the right indexes, avoiding N+1 queries, understanding query planner decisions, and knowing when denormalization makes sense.
Understanding SQL transactions and isolation levels: ACID properties, read phenomena, read committed, repeatable read, serializable isolation, deadlocks, and practical concurrency patterns.
Go beyond basic generics — constraints, conditional types, mapped types, infer, and real-world patterns for writing type-safe reusable code.
Understand C++20 coroutines — co_await, co_yield, co_return — and how they enable async and generator-style code without blocking threads.