Easy Learn
A beginner-friendly, deep-dive guide to Continuous Deployment: the history from Extreme Programming and Flickr’s “10+ Deploys a Day” to Amazon’s 11.7-seconds-between-deploys statistic; how CD differs from Continuous Integration and Continuous Delivery; the architecture of a modern CD pipeline; canary releases, blue-green, feature flags and automated rollback; DORA metrics; GitOps with…
A beginner-to-production deep dive into the two most confused terms in modern software delivery — what Continuous Delivery and Continuous Deployment really mean, how the pipelines work inside, the trade-offs, and how organisations like Netflix, Amazon, Etsy and Google ship code hundreds of times a day with automated rollback safety nets.
A complete, beginner-to-production guide to connection timeouts: what they are, why every networked system needs them, and how they turn “wait forever” into a deliberate, bounded engineering decision. Traces the history from 1970s ARPANET and Vint Cerf and Bob Kahn’s 1974 TCP paper through the modern era where Netflix, Amazon,…
A container is a sealed box for software; a container registry is the warehouse that stores, versions, signs, scans, and serves those boxes to every environment that runs them. This complete guide walks through the history of containers, the OCI Distribution Spec, layers and digests, the split between metadata store…
A complete, beginner-to-production guide to Cross-Site Request Forgery (CSRF): the bank-tab origin story, Peter Watkins coining the term around 2001, and the timeline from Netscape’s 1994 cookie introduction through the 2006-2007 Netflix, YouTube, and Gmail disclosures to today’s SameSite-by-default browsers; the confused-deputy problem separating authentication from intent; ten core concepts…
A complete, beginner-to-production guide to data warehousing: what it is, why companies build them, and how they turn scattered raw data into fast, trustworthy answers. Traces the history from 1970s isolated systems through IBM’s 1988 foundational paper and the Inmon vs. Kimball debate, into the era of Teradata appliances, cloud…
Data outlives code — every framework retires, every team reorganizes, but the data those systems produced keeps flowing for decades. This complete guide explains why a Software Architect (not just a Data Architect) must deliberately design the data layer — covering history, core vocabulary, architectural components, the six-stage lifecycle, CAP-theorem…
A complete, book-quality walkthrough of database indexes: the librarian-card-catalog origin and short history from Bayer & McCreight’s 1970 B-Tree through today’s B+Tree, hash, bitmap, inverted, spatial and vector indexes; the O(n) vs O(log n) motivation showing an 8-second vs 2-millisecond query gap on 10 million rows with real-world Amazon, Instagram,…
A complete, beginner-to-production guide to database locking: what it is, why it exists, and how modern databases and distributed systems use it to let millions of users share the same data safely. Traces the history from 1960s batch mainframes through Jim Gray and IBM System R to today’s distributed SQL…
A complete, ground-up tutorial on database normalization — what it is, why it exists, and how professional engineers actually use (and sometimes deliberately break) it in real production systems. Starts from the messy-notebook analogy and Edgar Codd’s 1970 relational-model paper, then walks through every classic building block: relation, attribute, tuple,…