Easy Learn
A ground-up, beginner-to-production guide that specifically answers “what is a downside of GraphQL?” Covers the history from Facebook 2012 through Apollo Federation, the two REST problems GraphQL was built to solve (over-fetching and under-fetching), core vocabulary (schema, SDL, queries, mutations, subscriptions, resolvers, type system), request lifecycle from parsing through resolver…
A complete, beginner-to-production guide to exponential backoff: what it is, why the industry adopted it, and how to use it safely in real distributed systems. Traces the history from 1970s ALOHAnet and 1976 Ethernet (Metcalfe & Boggs) collision resolution through modern cloud SDKs. Explains transient failures and the retry-storm /…
A complete beginner-to-production guide to graph databases — the storage engines that treat relationships as first-class data instead of hiding them behind joins. Nineteen sections walk from graph theory's 1736 origins (Euler's Königsberg bridges) through the modern property graph model (nodes, edges, labels, properties, paths, traversals), the RDF alternative, the…
A complete, beginner-to-production guide to GraphQL: what it is, why Facebook built it, and how modern engineering teams use it to give clients exactly the data they need in a single request from a single endpoint. Traces the history from Facebook’s 2012 internal News Feed prototype, through the 2015 open-source…
“What is a key benefit of GraphQL over REST?” is one of the most-asked web-API interview and architecture-review questions of the last decade, and this complete guide answers it end-to-end. The short answer: GraphQL lets clients ask for exactly the data they need — in a single request — instead…
A complete, ground-up guide to High Availability infrastructure design — the discipline of accepting that every component eventually breaks and building systems that keep serving users anyway. Nineteen sections walk from historical roots (telephone exchanges, mainframes, “always-on” web architecture) through the full HA vocabulary (redundancy, SPOF, failover, active-active, replication, health…
A beginner-friendly, production-grade comparison of gRPC and REST built around the passing-notes-in-class analogy: REST is plain-English handwriting anyone can read, gRPC is a shared codebook of tiny symbols that both sides decode from a shared .proto file. Full history from Roy Fielding’s year-2000 REST dissertation through 2000s-2010s REST+JSON dominance, Google’s…
A beginner-to-production deep dive into HATEOAS (Hypermedia As The Engine Of Application State): the web-browser analogy for what hypermedia means for machine clients, the full history from Roy Fielding’s 2000 REST dissertation through his 2008 “REST APIs must be hypertext-driven” blog post, the 2010 Richardson Maturity Model, the 2011 HAL…
A complete beginner-to-expert guide to the hot partition problem — the moment a “perfectly scaled” distributed cluster still collapses under a single overloaded partition while the rest sits idle. Twenty-two sections walk from history and first principles (partitioning, sharding, hashing, skew) through architecture, step-by-step failure narratives, detection strategies, and every…
A ground-up, beginner-to-production guide to the main HTTP methods used in REST APIs – GET, POST, PUT, PATCH, DELETE, HEAD, and OPTIONS. Covers the history from HTTP/0.9 through RFC 7231 and 5789, the three foundational properties (safe, idempotent, cacheable) that classify every method, how servers dispatch methods internally in frameworks…