5 min16 Sept 2026
Short, simple reads on coding and how real systems work — with code you can follow.
Learn reusable DSA patterns instead of solving hundreds of disconnected questions.
Curriculum Sections:
A practical backend engineering series covering APIs, authentication, transactions, idempotency, jobs and observability.
Curriculum Sections:
Build a strong foundation in scalability, databases, caching, queues and distributed backend architecture.
Curriculum Sections:
Understand how merge and rebase change history and when each approach is appropriate.
Follow a web request through DNS, TLS, HTTP, backend processing and rendering.
A clear walkthrough of resolvers, authoritative servers, caching and DNS records.
Understand queues, recursion, shortest paths and connected components.
Use cumulative information to answer range and subarray questions efficiently.
Use monotonic feasibility checks for optimization problems.
Learn fixed and variable windows for subarrays and substrings.
Learn same-direction and opposite-direction pointer techniques.
Create predictable errors without leaking sensitive implementation details.
Learn how metrics, structured logs and distributed traces help debug production systems.
Design asynchronous workers that survive transient failures without duplicating work.
Learn why retries create duplicates and how idempotency keys solve the problem.
Understand atomicity, rollbacks, isolation and concurrent database writes.
Understand identity, permissions, sessions and where security checks belong.
Practical conventions for resources, status codes, pagination and stable API contracts.
Learn stateless services, shared state and the hidden complexity of scaling out.
Understand token buckets, fixed windows and practical API protection.
Learn producers, consumers, retries and why asynchronous processing improves reliability.
A practical way to choose storage based on relationships, consistency and access patterns.
A practical explanation of indexes, composite indexes and query plans.
Understand cache hits, TTLs, invalidation, stampedes and where Redis fits.
Learn how load balancers distribute requests, perform health checks and remove single-server bottlenecks.
A practical introduction to scaling a simple application into a reliable distributed system.