Easy Learn
A full-length guide to the primary key — history, B-tree internals, natural vs surrogate keys, composite keys, sharding, distributed IDs, security, caching, APIs, Java examples, and real-world lessons from Netflix, Amazon, Uber, Instagram, and Google.
A ground-up, beginner-friendly walkthrough of the two HTTP update methods everyone confuses — how they work internally, why idempotency matters, how JSON Patch and JSON Merge Patch differ, and how Netflix, Stripe, GitHub, and Kubernetes actually use them in production.
A complete guide to software profiling: what it is, how sampling and instrumentation differ, how flame graphs work, and how modern teams run continuous profiling in production across microservices and cloud fleets.
A complete, beginner-friendly, production-grade guide to database connection pooling: why opening a fresh database connection for every request is one of the most expensive mistakes in software engineering, and how connection pools quietly fix it inside almost every production system. Covers the full origin story from the 1990s Object Pool…
A complete, beginner-friendly, production-grade tutorial on polyglot persistence: why modern architects deliberately use many different databases in one system, when it is worth the added operational cost, and how it actually works. Covers the full history from Edgar Codd’s 1970s relational model through the NoSQL movement and the 2011 naming…
A complete beginner-to-production guide to data modelling: what a data model is, its history from Codd to NoSQL and cloud-native polyglot persistence, the three-schema architecture (conceptual, logical, physical), core vocabulary (entities, attributes, relationships, keys, schema, constraints, normalisation, cardinality, domains, weak entities), how models turn into SQL, JPA entities and B-Tree…
A ground-up guide to the two fundamental strategies for keeping software systems in sync: polling (the consumer repeatedly asks the producer for updates) and webhooks (the producer notifies the consumer the moment something happens). Traces the history from 1960s scheduled batch jobs, through 1990s HTTP polling and 2005 AJAX long…
A complete, beginner-friendly walk-through of pessimistic locking: how databases stop two people from stepping on each others work, explained from first principles with diagrams, Java code, and real production stories. Covers the shared-notebook analogy that captures the entire spirit of pessimistic locking; a short history from the early 1970s IBM…
A complete, ground-up guide to data transformation in an integration context: what it is, why it exists, and how modern systems reshape, reformat, and reconcile data as it moves between applications. Covers the full history from 1960s batch file conversion through EDI, ETL, ESBs, iPaaS and modern streaming/ELT; the three…
