Backend concepts that interviews & production actually demand
Free, no-fluff guides on Python internals, API resilience, and database concurrency — built for engineers prepping for senior interviews and shipping real systems.
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Topics that come up in every backend interview — rarely covered in courses.
Python Internals: What They Don't Teach in Courses
27-page guide covering GIL, memory management, closures, descriptors, metaclasses — everything asked in interviews but missing from courses.
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The Defence Stack: Resilience Patterns for Production APIs
8 layers of defence against third-party API failures — timeouts, retries, circuit breakers, fallbacks, bulkheads, async processing, multi-provider failover, and health checks.
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Database Concurrency & Locking: The Complete Guide
From race conditions to distributed locks. 9 chapters covering pessimistic vs optimistic locking, isolation levels, MVCC, deadlocks, Redis locks, and real-world architectures used by BookMyShow and Ticketmaster.
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Sharding vs Partitioning: The Complete Guide
From zero to interview-ready. The core difference in one diagram, partitioning deep dive (range, list, hash with PostgreSQL examples), sharding strategies & trade-offs, Instagram's real-world architecture, head-to-head comparison table, and 6 senior-level interview Q&As.
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The Backend Interview Playbook
70 real questions and 10 design frameworks that cover 90% of backend interview loops at product companies — with the follow-up chains where candidates actually fail.
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Python Internals — Video Edition
Live coding walkthroughs, interview simulations, and edge-case debugging for every chapter in the free guide.
FastAPI: Production Backend from Scratch
Connection pooling, authentication, caching, database migrations, deployment pipelines. Step by step.
"I've seen what happens when circuit breakers aren't configured and a missing timeout takes down an entire payment flow. This is the documentation I wish I'd had."