Our flagship iPhone/iPad app is written in 100% heavily-functional Swift. We have adopted MVVM and dependency injection to distribute responsibilities and make our code easily tested with the Quick and Nimble frameworks.
The app uses ReactiveCocoa/ReactiveSwift for data binding and asynchronous communication throughout the app. For networking, we use a combination of REST APIs backed by Alamofire, and GraphQL APIs backed by Apollo.
We use ReSwift for storing and communicating changes to global state. Lastly, our build process is simplified with Cocoapods and Fastlane, and is glued together with CircleCI.
The Doximity app is written in 100% Kotlin. We follow the Clean Architecture approach, adhering to SOLID principles. We use a custom architecture on the view layer utilizing Jetpack components and databinding. On the networking layer, we use Kotlin Coroutines to interface with Doximity’s GraphQL API. We strive to provide ample unit test coverage using JUnit and Mockito. In addition, we use Firebase Test Lab to run our Espresso instrumentation tests.
Doximity relies on Python's powerful data libraries such as pandas, scikit-learn, gensim, and nltk. We also leverage Apache Spark (PySpark), Jupyter, GraphX, and Spark ML. Our centralized warehouse is powered by Snowflake, and our models and transforms run within Docker containers scheduled through Airflow.
MySQL, more specifically Aurora, runs the show. We rely on Redis and Memcached to provide support for caches and background job processing. Elasticsearch powers things like full text search, search suggestions, some functions of our network graph, and our recommendation engine. It even sometimes acts as cache store. We utilize Neo4j to perform complex network graphing operations.
Grafana & Prometheus
Ubuntu is our operating system of choice for all servers. We leverage Chef, Terraform, and Packer for automation and provisioning AWS servers and other infrastructure. We are currently in the process of introducing Kubernetes to mirror local development built on Docker. We use a variety of tools to monitor our systems such as Sensu, Prometheus, Graphite, Grafana, and many others. Hubot deploys, migrates, and restarts our applications. We leverage HackerOne for our security bounty program.
Karma & Jest
XCUI, Quick & Nimble
Espresso & jUnit
We leverage CircleCI to execute our comprehensive suite of automated tests, providing feedback on every single commit. Each build is parallelized across multiple containers that auto-scale to provide the development team with quality feedback, fast. This, along with other automated tasks, adds up to a pipeline designed to simplify and speed up our developers’ daily workflows.
Our platform leverages Ansible and Terraform to create, update, and maintain a Kubernetes deployment (using Amazon EKS). This allows us to provide a container-based deployment model for infrastructure and product teams. We use Go(lang) to build tools that simplify the setup of development environments, application deployments, and development workflow tools.
Adobe Creative Suite
We leverage Adobe Creative Suite for a myriad of tasks. Sketch is where our ideas start. Zeplin and Flinto share those ideas across teams. Dropbox is our go-to for asset sharing. InVision DSM keeps us consistent.
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