Easy Learn
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…
A complete beginner-to-production guide to defending real systems against DDoS attacks through deliberate architecture, not just bandwidth or vendor purchases. Covers the history from the 1996 SYN flood through MafiaBoy, Estonia, Spamhaus, the 2016 Mirai botnet against Dyn, the 2.3 Tbps AWS Shield mitigation, and today’s HTTP/2 Rapid Reset era;…
A complete, beginner-to-production guide to database denormalization: trading a little bit of tidiness for a lot of speed, with diagrams, Java code, and real stories from Netflix, Amazon, Uber, and Instagram/Meta. Covers the notebook analogy that captures the entire spirit of denormalization; a short history from Edgar F. Codd 1970…
A complete, beginner-to-production tour of disaster recovery planning at the infrastructure level: what it is, why it exists, and how modern architectures actually survive data-centre losses, region-wide cloud outages, ransomware and human-error deletions. Covers the full DR vocabulary (RTO, RPO, failover, failback, blast radius), the four canonical DR site strategies…
A deep, ground-up guide to the dead-letter queue (DLQ) pattern that stops one bad message from silently breaking an entire messaging system. Opens with the postal “dead letter bin” analogy and walks the history: undeliverable mail in 1800s post offices, IBM MQSeries in 1993 giving the term its modern software…
A ground-up, beginner-to-production guide to distributed caches and what they are actually used for. Covers the history from 1960s CPU caches through the 1990s single-server web caches to the 2003 launch of Memcached and 2009 launch of Redis, and today’s use in nearly every large-scale application. Explains the four pressures…
A beginner-friendly, production-minded deep dive into the difference between Docker images and Docker containers. Opens with the recipe-versus-meal and class-versus-object analogies, then walks the pre-Docker history: chroot in 1979, cgroups in 2007 from Google engineers, kernel namespaces maturing through the 2000s, LXC in 2008, Docker in 2013, and the OCI…