Easy Learn
A complete beginner-to-production guide to containers – what they really are, why the industry invented them, how they work internally, and how they run at massive scale. Covers the “works on my machine” problem, the lunchbox analogy, and a short history from chroot in 1979 through FreeBSD Jails, Linux VServer,…
A complete, ground-up tutorial on distributed caching – what it is, why applications need it, how it works internally, and how large-scale systems put it into production. Covers the sticky-note analogy and the full history of caching from Wilkes 1965 CPU slave memory, through 1970s-80s disk/OS caches, 1990s web caching,…
A complete beginner-to-production field manual comparing containers and virtual machines – what each one really is, why the industry invented them, how they work internally, and when to reach for which. Covers the moving-house analogy, the short history from 1960s IBM mainframe virtualization through VMware, chroot, Linux namespaces and cgroups,…
A plain-language, beginner-to-production tutorial on Kubernetes (K8s): what it is, why it exists, and how it actually works inside. Starts with the delivery-truck fleet analogy and a short history from physical servers to VMs to Docker containers to Google’s open-sourcing of Kubernetes in 2014, builds up the orchestration problem step…
A complete, plain-language guide to data consistency across microservices: what “consistency” really means when many services each own their own database, a short history from monoliths to microservices, the ShopFast e-commerce running example, careful definitions of ACID, BASE, strong / eventual / causal consistency, idempotency, and distributed transactions, the CAP…
A complete, ground-up tutorial on message queues: introduction and history (from 1970s mainframe middleware and IBM MQ through JMS, ActiveMQ, RabbitMQ, Kafka, and today’s managed cloud services), the problem and motivation, eight core concepts (message, producer, consumer, broker, queue, topic, acknowledgment, dead letter queue), full architecture, internal working for both…
A complete, beginner-to-production guide to eventual consistency in system design: the texting-with-bad-signal analogy and a plain-English definition; a short history from the 1990s research literature through Amazon Dynamo (2007), Google Bigtable, Cassandra, and Voldemort; why replication exists and the two possible answers when copies disagree (strong vs eventual consistency); the…
A complete, beginner-to-interview-ready tutorial on graceful degradation – the design approach that lets a system deliberately reduce features or quality in a controlled, planned way rather than failing completely. Uses the four-engine airplane analogy to introduce the mindset shift from “prevent every failure” to “plan the reduced experience in advance,”…
A first-principles guide to the single most important trade-off in distributed systems: strong consistency versus eventual consistency. Covers the history and physical motivation, all the vocabulary (linearisability, causal, read-your-writes, session, bounded staleness), the CAP theorem and PACELC extension, architecture components (replicas, leader-follower, leaderless, quorums N/W/R, vector clocks), how strongly and…
A complete, beginner-friendly guide to strong consistency in distributed systems. Covers: what strong consistency really is and its short history, the problem it solves, the shared-notebook analogy, core terminology (consistency, replication, quorum, consensus, linearizability, eventual consistency), the full consistency spectrum from strong to eventual, the six-component architecture behind it, the…