Tech stack at Aurora Cannabis
Learn about the 13 tools and technologies that Aurora Cannabis uses to build, market, and sell its products.
Languages & Frameworks
These are the programming languages and software frameworks used for developing software, encompassing a variety of applications from web development to data analysis and machine learning.
Development
This category includes essential tools used throughout the software development lifecycle, covering areas such as version control, code testing, and the building and deployment of code. These tools aim to enhance productivity, ensure code quality, and facilitate collaboration among team members.
Application Hosting
Application hosting services are platforms that provide a scalable environment for running applications, from web apps to microservices. These platforms handle the underlying infrastructure and often come with features like automated scaling, backup, and security, allowing developers to focus solely on the application itself.
Data Stores
This category includes tools and services that store, manage, and process data, ranging from structured to unstructured data types. These can be databases or data warehousing tools, capable of handling large volumes of information and often featuring real-time analytics capabilities.
Application Utilities
These tools offer a range of services that bolster the functioning and usability of an application, such as API management, data caching, and user authentication.
Design
These tools assist in creating and managing the visual and multimedia aspects of a product. They cover a broad range of tasks from UI/UX design, prototyping, and graphics design to video editing. These platforms often include features like collaborative functionalities, versioning, and templates, serving both individual creators and collaborative teams.
Back Office
Back office software is integral to the seamless functioning of a company, supporting crucial internal operations such as HR, finance, and administration. These systems often automate routine tasks and facilitate data management to improve operational efficiency.
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