Terminology
384 terms, tools, patterns and metrics an architect is expected to use precisely. Each one gets a short explanation of what it is, and — where it matters — what it is commonly confused with. Search filters as you type; the column headers sort.
All areas384
Architecture Fundamentals16
Distributed Systems73
Data Architecture71
Cloud Architecture17
Networking13
API & Integration Architecture17
Reliability & Resilience16
Observability14
Performance & Capacity Engineering13
Security Architecture18
Cost Architecture & FinOps12
Business Architecture9
Architecture Communication8
Enterprise Architecture8
Legacy Modernization11
AI-Era Architecture15
Software Architecture & Engineering19
Architecture Patterns15
Architecture Decision-Making11
The Architect's Meta-Skills8
26 terms shown.
| Term | Kind | Topic | What it is |
|---|---|---|---|
| Airbnb's Service-Oriented Migration | case-study | Legacy Modernization | Airbnb decomposed a large Rails monolith by first extracting a unified data-access layer, so that services were built on owned data rather than on shared database tables. |
| Booking.com's Experimentation Platform | case-study | Business Architecture | Booking.com runs over a thousand concurrent experiments and treats the ability to test any change safely as a platform capability rather than a product feature. |
| Capital One's Data Centre Exit | case-study | Enterprise Architecture | A major US bank closed all eight of its data centres and moved fully to public cloud, treating governance automation as the enabling technology rather than a constraint. |
| Discord's Message Store Migrations | case-study | Data Architecture | Discord moved from MongoDB to Cassandra to ScyllaDB as message volume grew from millions to trillions, each time for a specific and different reason. |
| Dropbox's Move Off S3 Magic Pocket | case-study | Cost & FinOps | Dropbox moved the majority of its file storage off Amazon S3 onto custom infrastructure, reporting savings that its S-1 filing put at roughly $75 million over two years. |
| eBay's Architectural Generations | case-study | Legacy Modernization | eBay rewrote its core platform several times across its first decade, each time because the previous generation had hit a limit that could not be tuned away. |
| Etsy's Continuous Deployment | case-study | Software Architecture | Etsy moved from infrequent, risky releases to dozens of deploys a day, demonstrating that deployment frequency and stability improve together rather than trading off. |
| Figma's Postgres Sharding | case-study | Data Architecture | Figma delayed sharding for years using replicas and vertical partitioning, then sharded Postgres horizontally without downtime using logical shards and a proxy layer. |
| Google Maps and Planetary-Scale Spatial Serving | case-study | Performance & Capacity | Map serving is fast because almost nothing is computed on request — the world is precomputed into a pyramid of tiles, and space is indexed onto a one-dimensional curve. |
| Instagram's Early Scaling | case-study | Architecture Fundamentals | Instagram reached tens of millions of users on Django and PostgreSQL with a handful of engineers, by deliberately choosing boring technology and doing the simple thing first. |
| LinkedIn and the Origin of Kafka | case-study | API & Integration | Kafka was built to replace point-to-point data integration between many systems with a single durable log that any system could publish to and any number could read. |
| Monzo's Microservice Estate | case-study | Software Architecture | Monzo runs a bank on well over a thousand microservices, and the interesting engineering is in the platform and network isolation that makes that number survivable. |
| Netflix Open Connect | case-study | Networking | Netflix built its own CDN and placed appliances inside ISP networks, turning the most expensive part of its cost structure into hardware it controls. |
| Netflix's Recommendation Architecture | case-study | Data Architecture | Netflix splits personalisation into offline, nearline and online layers so that expensive computation happens ahead of time and the request path stays fast. |
| Pinterest's MySQL Sharding | case-study | Data Architecture | Pinterest sharded MySQL by embedding the shard ID inside every primary key, making any object's location computable from its ID alone with no lookup service. |
| Prime Video's Move Back to a Monolith Prime Video VQA Rearchitecture | case-study | Architecture Patterns | Amazon Prime Video consolidated a serverless, distributed audio/video monitoring service into a single process and reported a 90% cost reduction — the most-cited example of microservices being the wrong tool. |
| Salesforce's Metadata-Driven Multi-Tenancy | case-study | Data Architecture | Salesforce serves every customer from shared infrastructure with a single physical schema, storing customer-specific data structures as metadata rather than as separate tables. |
| Shopify's Pods and Modular Monolith | case-study | Architecture Patterns | Shopify handles Black Friday scale with isolated pods — complete stacks each serving a subset of merchants — while keeping the application itself a deliberately modular monolith. |
| Slack's Cellular Migration | case-study | Cloud Architecture | After repeated availability-zone-level incidents, Slack rebuilt its infrastructure into per-zone cells with the ability to drain traffic away from a failing zone in minutes. |
| Spotify's Squad Model and Its Retrospective | case-study | Business Architecture | The widely-copied Spotify model of squads, tribes, chapters and guilds was a snapshot that did not work as documented even at Spotify — a caution about importing organisational design. |
| Stripe's API Versioning | case-study | API & Integration | Stripe pins each account to the API version current when it integrated and transforms requests and responses between versions internally, so integrations never break and the core stays modern. |
| Twitter's Timeline Fan-Out | case-study | Performance & Capacity | Twitter precomputes each user's timeline at write time but handles very-high-follower accounts at read time, because neither strategy alone survives both ends of the distribution. |
| Uber's Domain-Oriented Microservice Architecture DOMA | case-study | Software Architecture | After growing to roughly 2,200 microservices, Uber grouped them into domains behind gateways with strict dependency layering, to recover the comprehensibility that fine-grained decomposition had cost. |
| Uber's H3 Spatial Index | case-study | Data Architecture | Uber indexes the world with hexagons rather than squares, because uniform neighbour distance makes supply, demand and pricing computations correct as well as fast. |
| WhatsApp's Small-Team Scale | case-study | Performance & Capacity | WhatsApp served hundreds of millions of users with a few dozen engineers by matching one technology choice precisely to the workload and refusing to add anything else. |
| Zoom's Pandemic Scale-Up | case-study | Cloud Architecture | Zoom grew from around 10 million to over 300 million daily meeting participants in roughly three months, absorbed by a hybrid architecture and a distributed media routing design. |
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