Interactive Library Catalog

Explore the foundational mechanics of modern computation through the visionary work of Alan Turing. This volume demystifies historical cryptography, the Enigma codebreaking efforts, and the theoretical limits of computation, equipping you with a deep mastery of Turing machines, the Halting Problem, and the core concepts that power computer science today.

Master system design fundamentals and excel in technical interviews with a proven, reusable framework. Learn to deconstruct open-ended prompts, evaluate architectural trade-offs, and design scalable, high-availability solutions. Through hands-on challenges—including URL shorteners, distributed rate limiters, notification pipelines, and news feeds—you will gain the confidence to ace real-world engineering evaluations.

Complete Spring 7 & Spring Boot 4 course from beginner to Advance using first thought principle.

Master the four pillars of computer science: Operating Systems, Computer Networks, Object-Oriented Programming, and Database Management Systems. This comprehensive guide covers everything from process synchronization and network protocols to advanced SQL and distributed architectures. Build the robust theoretical foundation and practical problem-solving skills needed to excel in competitive technical interviews.

Master the extreme engineering required to handle over one million requests per second in high-stakes production environments. This comprehensive guide covers CPU thread utilization, Node.js clustering, AWS deployment architecture, and ultra-high-throughput systems using C++, Redis Cluster, and PostgreSQL. Learn how to eliminate bottlenecks, optimize algorithmic efficiency, and build resilient infrastructure capable of global-scale concurrency.

Created by Mukul Raina (Senior Software Engineer & Tech Lead at Microsoft, Oxford MSc), this course provides a comprehensive foundation for data engineering interviews covering the entire pipeline lifecycle. It starts with pipeline architecture (ETL vs ELT, CDC, event streams, idempotency, backfill strategies, reliability patterns with DLQs and checkpointing), then dives into batch processing (MapReduce, Spark architecture with Catalyst optimizer, DAG execution, partitioning, shuffle optimization, broadcast joins, file formats like Parquet/ORC/Avro, and Airflow orchestration), and stream processing (Kafka deep dive with topics/partitions/consumer groups, exactly-once semantics, windowing patterns, watermarks, stateful processing with Flink/Spark Streaming). The course also covers the batch vs streaming decision framework (Lambda vs Kappa architectures, micro-batching, latency-cost-complexity triangle) and data modeling patterns (OLTP vs OLAP, normalization/denormalization, Star and Snowflake schemas, fact tables, Slowly Changing Dimensions Type 2, Data Vault, grain design, materialized views)—equipping you with production-ready knowledge and interview-focused practice questions for FAANG-level data engineering roles.

Created by Mukul Raina (Senior Software Engineer & Tech Lead at Microsoft, Oxford MSc), this course provides a complete foundation for Low-Level Design (LLD) interviews at FAANG and top tech companies. It covers OOP principles (encapsulation, abstraction, inheritance, polymorphism, composition vs inheritance, interface vs abstract class) with interview-focused practice problems, SOLID principles (SRP, OCP, LSP, ISP, DIP) with real-world violations and fixes, and 23 design patterns organized by type—Creational (Factory, Abstract Factory, Builder, Singleton), Structural (Adapter, Decorator, Facade, Proxy), and Behavioral (Strategy, Observer, Command, State, Chain of Responsibility, Template Method). The course also includes a pattern selection framework, signal-to-pattern recognition, multi-pattern worked examples (checkout flow, messaging platform, file storage), and anti-pattern coverage (over-engineering, premature abstraction, circular dependencies)—equipping you with a practical toolkit to design clean, extensible, and maintainable systems in real interview contexts.

Created by Mukul Raina (Senior Software Engineer & Tech Lead at Microsoft, Oxford MSc), this comprehensive course covers the full spectrum of microservices architecture—from mental models and decomposition strategies to communication patterns and distributed data management. It guides you through the monolith-to-microservices journey (including modular monoliths, the Strangler Fig pattern, and common anti-patterns), service boundary definition using Domain-Driven Design (Bounded Contexts, Aggregates, Ubiquitous Language), and inter-service communication (REST vs gRPC vs GraphQL, queues vs streams, timeout budgets, circuit breakers, bulkheads). The course also dives deep into data ownership (Database Per Service, CQRS, materialized views, eventual consistency, expand-contract migrations) and distributed transactions (Saga orchestration vs choreography, compensating transactions, Transactional Outbox, idempotency with Inbox pattern, dead-letter queues)—providing 47 patterns and 21 interview problems to help you ace microservices-focused system design interviews at FAANG and beyond.

Created by Mukul Raina (Senior Software Engineer & Tech Lead at Microsoft, Oxford MSc), this course bridges the gap between interview-level design and real-world production systems operating at scale. It covers the five constraints that shape every system (availability, latency, cost, team structure, compliance) and dives deep into production-critical topics: safe database schema migrations (adding/removing/renaming columns, dual-write patterns, online schema tools like pt-osc/gh-ost), replication & consistency (leader-follower, failover, sagas, hot partitions), backup & disaster recovery (RPO/RTO, point-in-time recovery), caching (thundering herd, hot key problems, CDN invalidation), message queues (idempotency, exponential backoff with jitter, dead letter queues), reliability patterns (timeouts, retry budgets, circuit breakers, bulkheads, graceful degradation, load shedding), and health checks & chaos engineering—providing the production-depth thinking needed for Staff-level engineering roles.

Created by Mukul Raina (Senior Software Engineer & Tech Lead at Microsoft, Oxford MSc), this course is a practical, interview-focused guide that walks you through the entire system design interview process—from gathering functional/non-functional requirements and capacity estimation (QPS, storage, bandwidth) to designing a full-scale social media feed system (Instagram-like). It covers database sharding, API design, feed generation algorithms (push vs pull vs hybrid), media storage with CDNs, auto-scaling, and real cost analysis (~$57M/month). The course also includes a dedicated section on interview strategy (45-minute breakdown, common mistakes, drawing diagrams) and an 8-week preparation plan to help you ace FAANG-level system design interviews.

Created by Mukul Raina (Senior Software Engineer & Tech Lead at Microsoft, Oxford MSc), this course goes beyond fundamentals to prepare you for Staff-level and senior FAANG interviews with production-grade depth. It covers observability (logs, metrics, traces, RED/USE methods, SLIs/SLOs, distributed tracing with OpenTelemetry), safe deployment strategies (Blue-Green, Canary with Istio, Shadow deployments, automated rollbacks, feature flags), security (JWT/refresh tokens, RBAC vs ABAC, HashiCorp Vault, Zero Trust, mTLS, encryption, GDPR/PII handling), cost-aware design (right-sizing, spot instances, reserved capacity, storage lifecycle policies, caching ROI), global-scale multi-region architectures (active-active, CRDTs, anycast, data sovereignty), and incident management (blameless postmortems, circuit breakers, on-call best practices). It also includes real-world case studies (social feed, payment processing, real-time chat) and an interview playbook to help you signal production-depth thinking and avoid common red flags.