---
title: "Shopify"
description: "Global commerce platform powering millions of businesses with essential infrastructure and innovative engineering solutions."
---

# Shopify
> Global commerce platform powering millions of businesses with essential infrastructure and innovative engineering solutions.

## Articles

### [Implementing Equality in Ruby](https://yomu.fyi/post/implementing-equality-in-ruby.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 26, 2022

Ruby has several equality and comparison mechanisms, so custom classes need explicit implementations when instance identity is not the intended meaning. The post distinguishes value objects, whose equality depends on all attributes, from entities, whose equality depends on an explicit identifier; its Point and Employee examples also use class checks, while an entity with a nil ID is unequal to other entities. It defines reflexivity, symmetry, and transitivity as properties to preserve, notes NaN as an exception to reflexivity, and explains #equal?, #eql?, #hash, and #===. For ordered values, #<=> returns -1, 0, 1, or nil, while Comparable supplies relational operators and useful methods including #min, #sort, #between?, and #clamp.


### [Our Favorite Moments From RailsConf 2022](https://yomu.fyi/post/our-favorite-moments-from-railsconf-2022.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 24, 2022

RailsConf 2022 returned to an in-person format at Portland’s Oregon Convention Center after a two-year gap, with three days of keynotes, tutorials, and talks on technical and workplace topics. The 16th edition announced three new Rails Core team members, including Shopify’s Jean Boussier, and two new committers, while recurring themes included company investment in Rails, security, Active Records, “build vs buy,” diversity, and burnout. Shopify’s 15 Rails speakers contributed sessions and keynotes, and the recap gathers highlights on open-source staffing, long-term maintenance, developer wellbeing, Rails upgrades, supply-chain attacks, and modularization for “Big Rails.” Specific examples included regexp DOS risks, typosquatting and combosquatting, Rails upgrade automation, Ruby Archaeology, and the history of women in computer science. Because concurrent sessions and hallway conversations limited attendance, a virtual home edition and recordings were scheduled to make more talks available afterward.


### [Lessons Learned From Running Apache Airflow at Scale](https://yomu.fyi/post/lessons-learned-from-running-apache-airflow-at-scale.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 23, 2022

Shopify describes operating Apache Airflow 2.2 on Kubernetes with the Celery executor and MySQL 8 for data extraction, machine-learning training, Iceberg maintenance, and DBT modeling. In its largest environment, Shopify runs over 10,000 DAGs, averages over 400 tasks running at a given moment, and executes over 150,000 runs per day, while facing slow file access, metadata growth, ownership tracking, DAG-author control, traffic bursts, and resource contention. The authors describe replacing per-pod GCSFuse access with an in-cluster NFS volume synchronized to GCS, retaining GCS as the user-facing source of truth; they also use 28-day metadata retention, a YAML manifest, DAG policies, and scheduling controls including pools, priority weights, and Celery queues. These measures are presented as ways to improve file performance, limit database growth, identify owners, enforce constraints, and reduce workload interference, though the retention policy does not support durable history-dependent features such as long-running backfills.


### [Asynchronous Communication is the Great Leveler in Engineering](https://yomu.fyi/post/asynchronous-communication-is-the-great-leveler-in-engineering.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 20, 2022

After Shopify became a remote-first company in March 2020, globally distributed engineering teams had to replace office habits and spontaneous context-sharing with remote-focused ways of working. The article presents a spectrum of synchronousness, ranging from video calls and pair programming through chats, recorded video, email, written documents, wikis, and READMEs, with increasing permanence toward the asynchronous end. It argues for writing as a primary communication mode, replacing meetings where possible, recording and rebroadcasting events, documenting decisions, maintaining a single source of truth in the Vault, and defining team norms for overlap, deep work, code review, and shipping across time zones. It also cautions that not everything should become asynchronous: synchronous meetings, pair programming, social activities, and intentional in-person gatherings preserve human connectivity, while asynchronous practices provide flexibility, equal access to information, and durable archives.


### [Double Entry Transition Tables: How We Track State Changes At Shopify](https://yomu.fyi/post/double-entry-transition-tables-how-we-track-state-changes-at-shopify.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 18, 2022

Shopify needed a reliable way to count merchants using Shopify Balance over time, where usage requires both an active Shopify Balance account and an active Shopify account. The data team built accounts\_transition\_facts with double entry transition tables, a format that represents each state change as a -1 row for the previous state and a +1 row for the new state. Individual attribute tables use account\_id, transition\_at, and an index that breaks timestamp ties; the pipeline merges attributes, carries forward missing values, and generates net\_change rows. Because net\_change is additive, queries can sum it while filtering statuses, group results by date, or feed daily aggregates, while additional attributes can be added without rewriting existing SQL or PySpark. The initial build required substantial effort but produced a reporting structure intended to scale with Shopify Balance’s growing complexity.


### [Shopify Invests in Research for Ruby at Scale](https://yomu.fyi/post/shopify-invests-in-research-for-ruby-at-scale.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 16, 2022

Shopify says it has invested nearly half a million dollars over the past year in academic research directed toward Ruby and the needs of its community. The work is intended to make programming-language developments account for Ruby’s metaprogramming, loose C extension API, and large-scale workloads with frequent redeployments, rather than assuming long virtual-machine warmup periods. Collaborators include Laurence Tratt, who is investigating hardware meta-tracing and basic-block stitching to generate a just-in-time compiler from the Ruby interpreter; Steve Blackburn, whose group is putting the MMTk garbage-collection toolkit into Ruby; and Stefan Marr, who is studying interpreter speed and startup and warmup time. The program also connects these researchers with Shopify’s Ruby engineers and complements internal work on YJIT and TruffleRuby, with more research and academic papers planned.


### [Maestro: The Orchestration Language Powering Shopify Flow](https://yomu.fyi/post/maestro-the-orchestration-language-powering-shopify-flow.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 13, 2022

Shopify developed Maestro, a domain-specific orchestration language, to decouple Shopify Flow’s merchant-facing visual editor from its execution engine, whose requirements differ in declarative usability versus scalable, fault-tolerant execution. The team introduced a horizontally scalable Maestro engine, translated existing Flow workflows into Maestro, migrated them incrementally, and later connected a new visual language directly to Maestro; all workflows had moved to the new editor and engine by early 2022. Maestro coordinates calls to host-language functions rather than implementing service or database operations, while durable checkpoints capture completed work and let the interpreter recover after crashes with at-least-once semantics for primitive calls. During activation, static usage analysis identifies needed returned attributes for possible query optimization, and compilation removes runtime-irrelevant definitions before deployment; checkpoints also support execution monitoring, while planned work includes richer language features, orchestration merging, and workflow preview and testing.


### [Our Experience Porting the YJIT Ruby Compiler to Rust](https://yomu.fyi/post/our-experience-porting-the-yjit-ruby-compiler-to-rust.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 11, 2022

Shopify’s YJIT team moved the CRuby JIT compiler from C99 to Rust after finding that C’s limited complexity-management tools made the growing project difficult to maintain. The port had to preserve a non-trivial interface with CRuby, including parsing bytecode and manipulating Ruby’s primitive types, while compiling the Rust project into a static library linked through CRuby’s makefile. The team translated functions and structs largely one by one, retaining the original architecture while using Rust features such as pattern matching, macros, Cargo features, and borrow checking. Completed in three months, the port was judged more maintainable and pleasant to work with, although the team identified challenges around C interoperability, unsafe code, tooling, ecosystem maturity, and limited use of idiomatic Rust.


### [Talk Nerdy to Me: 10 Tech Podcast Recommendations from Shopify Engineering](https://yomu.fyi/post/talk-nerdy-to-me-10-tech-podcast-recommendations-from-shopify-engineer.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: May 6, 2022

Shopify Engineering curated ten podcast recommendations from conversations with its technology employees, extending an earlier roundup of book recommendations. The list spans software engineering, front-end development, JavaScript, career growth, cybersecurity, data science, and broader technology topics, with selections ranging from quick, technical episodes to witty, conversational shows. Several entries emphasize specific formats or practices: Software Engineering Daily conducts researched interviews and focuses on open source, Soft Skills Engineering answers two listener-submitted questions in 30 minutes, and Darknet Diaries covers hacking, cybercrime, and data breaches. The recommendations also include podcasts valued for approachable explanations, collaborative software work, diverse guests, and perspectives on leadership and professional development, while some contributors identify particular episodes or hosts as reasons they keep listening.


### [React Native Skia—For Us, For You, and For Fun](https://yomu.fyi/post/react-native-skia-for-us-for-you-and-for-fun.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Apr 29, 2022

React Native Skia brings Skia’s cross-platform 2D drawing primitives to React Native, with the stated goals of improving its limited graphical capabilities and aligning designers and developers around capabilities comparable to Figma. The integration uses React Native’s JavaScript Interface (JSI), enabling direct JavaScript-to-native communication through C++ rather than asynchronous messages, and exposes an API described as virtually 100% compatible with Flutter’s. On top of the imperative API, a declarative layer uses the React Reconciler to diff internal representation states and send changes to the Skia engine, supporting composable drawings and declarative optimizations. The library includes image filters, shaders, SVG, path operations, vertices, text layouts, mesh gradients, shadows, backdrop blur, and animations, with a direct connector to Reanimated 2; the authors expect it to address a major React Native pain point and describe the work as just beginning.


### [Data Is An Art, Not Just A Science—And Storytelling Is The Key](https://yomu.fyi/post/data-is-an-art-not-just-a-science-and-storytelling-is-the-key.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Apr 27, 2022

Data science combines science, mathematics, and art, but communication is presented as an often-neglected skill that helps stakeholders understand and act on analysis. Effective data storytelling goes beyond charts and dashboards by framing a business problem as the main character, supplying context, communicating in the audience’s language, and directing action through next steps. The article recommends investing in clean, conformed data foundations and formal support, including Shopify’s data storytelling working group, while also borrowing communication techniques such as Duarte’s Slidedocs visual reports. It further advocates interactive experiences that let audiences filter, drill into, and explore data, illustrated by Shopify’s BFCM 2021 Notebook, which helped merchants examine sales, products, days, and locations. The conclusion is that storytelling can build trust and increase data fluency.


### [Building a Business System Integration and Automation Platform at Shopify](https://yomu.fyi/post/building-a-business-system-integration-and-automation-platform-at-shop.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Apr 22, 2022

Shopify needed a maintainable way to connect increasingly modular business systems whose interfaces ranged from SOAP and FTP to REST and GraphQL. The company evaluated Mulesoft but found that its proprietary XML and Java virtual machine stack isolated the team from Shopify’s development ecosystem and complicated access to internal services and infrastructure. It instead built a Ruby on Rails integration platform around minimal validation, transparent data transformations, flexible client support, security, reusable components, documentation, and request-level testing with WebMock. The implementation favors direct manipulation of JSON hashes because that keeps mappings visible, while acknowledging risks such as typos and complex mock management. After a year, the platform had 18 integrations, had migrated all Mulesoft applications, and enabled other teams to build integrations, with ongoing work on testing and onboarding.


### [Möbius: Shopify’s Unified Edge](https://yomu.fyi/post/mo-bius-shopify-s-unified-edge.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Apr 20, 2022

Shopify had more than six traffic paths for its core, services, PII-restricted systems, and mTLS-authenticated APIs, making platform-wide features harder to deploy and traffic behavior harder to observe. Möbius and Shopify Front End (SFE) were designed together: Möbius terminates TCP and TLS near clients and forwards requests to SFE, while SFE routes them from regional clusters to application clusters. SFE uses nginx deployments with custom Lua and a centralized API fed by Kubernetes controllers, enabling routing and active/active or active/passive load balancing without DNS TTL delays. Möbius automates edge domain configuration, DNS ownership validation, and certificate acquisition through vendor APIs, so application owners generally only need to change DNS. The unified design standardizes edge protection and observability, supports future edge capabilities, and leaves exceptions for services whose dependencies could create crash loops.


### [Code Ranges: A Deeper Look at Ruby Strings](https://yomu.fyi/post/code-ranges-a-deeper-look-at-ruby-strings.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Apr 14, 2022

Ruby's string model supports mutable and immutable operations, per-object or per-file freezing, and more than 100 encodings, while permitting byte sequences invalid for their attached encoding. This flexibility helps legacy and unusual platforms but makes encoding checks, validity scans, and character-boundary handling part of many operations. To reduce repeated O(n) validation scans, Ruby implementations cache each string's state in a four-valued code range: unknown, 7bit, valid, or broken. The post explains how these values map to public methods, how MRI stores them in two header bits, and how JRuby and TruffleRuby represent them differently. It also describes code ranges as inputs to fast and slow paths and as useful but fallible cache information, especially for native extensions and string-heavy metaprogramming.


### [Leveraging Shopify’s API to Build the Latest Marketplace Kit](https://yomu.fyi/post/leveraging-shopify-s-api-to-build-the-latest-marketplace-kit.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Apr 8, 2022

Marketplace Kit version 2 provides boilerplate app code and documentation for third-party developers integrating with Shopify, implementing selected commerce features, and launching marketplaces across channels. The team moved away from using the Shopify CLI-generated Node app because CLI changes could affect their code and documentation, while its dependencies limited control over development practices. The new kit separates a full-stack merchant-facing admin app from a buyer-facing client app, using Express, React, NextJS, GraphQL, Apollo Client, and Apollo Server; open-source versions are publicly available. Its examples demonstrate JWT authentication through App Bridge and Shopify’s Node API, serving REST and GraphQL together with Express, and choosing REST for a product-listing count where a query offered no advantage.


### [The Magic of Merlin: Shopify's New Machine Learning Platform](https://yomu.fyi/post/the-magic-of-merlin-shopify-s-new-machine-learning-platform.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Apr 6, 2022

Shopify’s machine learning platform team redesigned its infrastructure to accommodate varied use cases, dependencies, data types, integrations, and production requirements. Merlin uses an open-source stack in which on-demand Merlin Workspaces run as short-lived Ray clusters on Kubernetes, while projects isolate code and dependencies in Docker-based environments. Its first iteration focuses on training and batch inference, with users moving from local or Jupyter-based prototypes to automated production workflows through the Merlin API, Airflow, or Oozie. Shopify validated the platform by migrating its product categorization workflows, using Ray Train for distributed TensorFlow training and Ray ActorPool for batch inference; planned extensions include online inference, model lifecycle management, and machine learning monitoring.


### [Best-in-Class Developer Experience with Vite and Hydrogen](https://yomu.fyi/post/best-in-class-developer-experience-with-vite-and-hydrogen.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Mar 31, 2022

Hydrogen, Shopify’s framework for custom React storefronts, chooses Vite to improve developer experience while targeting performance for end users and evergreen browsers. Traditional bundling with tools such as Webpack can become complex and slow during development because each change may require processing more project files; Vite instead serves user code through native ES Modules, while pre-bundling and caching third-party dependencies. Vite combines an HMR development server with sensible defaults, ESBuild compilation, Rollup’s plugin system, CommonJS-to-ESM conversion, and SSR support, including transformations that differ between browser and server environments. Hydrogen integrates Vite through four plugins covering Hydrogen configuration, React Server Components, SSR and RSC middleware, and React fast refresh, enabling server components, streaming requests, and caching; the text concludes that Vite is a suitable choice, while acknowledging Webpack remains appropriate for some advanced use cases.


### [10 Books Shopify’s Tech Talent Think You Should Read](https://yomu.fyi/post/10-books-shopify-s-tech-talent-think-you-should-read.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Mar 29, 2022

Shopify presents ten books recommended by its developers and engineers for people working in technology, spanning technical foundations, software design, learning habits, feedback, leadership, documentation, and focus. The recommendations were gathered from ten technical employees, while Shopify says its book bar stocks favorite titles and makes requested copies available to employees. Several entries address software systems directly: The Elements of Computing Systems guides readers through hardware, assembly language, programming languages, and operating systems, while A Philosophy of Software Design examines managing complexity and distinguishing tactical from strategic coding. Other selections argue for deep practice, smarter questioning, effective feedback reception, incremental knowledge transmission, decentralized leadership, critical reflection on the technology industry, and uninterrupted work blocks, with the contributors describing how particular books changed their studying, systems thinking, or approach to growth.


### [How We Built the Add to Favorite Animation in Shop](https://yomu.fyi/post/how-we-built-the-add-to-favorite-animation-in-shop.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Mar 25, 2022

The Shop app’s Add to Favorite interaction animates a product thumbnail into the Favorites tab bar heart after a buyer favorites a product. The implementation is based on a motion spec that defines animated properties, target values, durations, easing curves, and ordering, with the thumbnail sequence followed by the icon’s color and bouncing movement. In React Native, Reanimated uses one shared progress value for the whole sequence, and interpolation maps progress ranges to opacity, scale, and vertical translation, including clamping and an instant disappearance at step 3. A 50 ms pause is included between thumbnail scaling and its downward movement. The shared value also creates a match cut between the disappearing thumbnail and the icon; a setTimeout-based handoff was rejected because a busy JS thread could delay the transition, while withDelay would keep timing on the UI thread.


### [A Data Scientist’s Guide To Measuring Product Success](https://yomu.fyi/post/a-data-scientist-s-guide-to-measuring-product-success.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Mar 23, 2022

The guide addresses the problem of turning product success after launch into concrete metrics that reflect user impact rather than model or pipeline performance. It recommends starting with end-user goals, defining a main product goal and subgoals, translating them into primary questions, and selecting metrics before building a measurement plan. In Shopify’s example, the contextual analytics experience surfaces inventory data, with adoption measured through shops interacting with its navigation bar and product goals progressing from data-aware to data-savvy merchants. Metrics should be simple, precise, feasible, sensitive, and directional, while tripwires or anti-success metrics identify unwanted outcomes alongside desired gains. The plan pairs metrics with comparison measures and benchmarks, supports segmentation by merchant characteristics, and separates short-term, mid-term, and long-term measurement periods so results can be interpreted after release.


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