Culture, Automation, Lean, Measurement, and Sharing (CALMS) is a framework for guiding the implementation of DevOps practices. Important for fostering a DevOps culture and improving collaboration, efficiency, and continuous improvement in product design teams.
A methodology for building software-as-a-service apps that emphasizes best practices for development, deployment, and scalability. Important for creating scalable, maintainable, and efficient digital products.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments. Crucial for ensuring the reliability, scalability, and performance of AI systems throughout their lifecycle, bridging the gap between model development and operational implementation.
Application Release Automation (ARA) is the process of automating the release of applications, ensuring consistency and reducing errors. Crucial for accelerating the delivery of software updates and maintaining high-quality digital products.
A server dedicated to automating the process of building and compiling code, running tests, and generating software artifacts. Crucial for ensuring continuous integration and maintaining the integrity of the codebase in digital product development.
Software Development Life Cycle (SDLC) is a process for planning, creating, testing, and deploying an information system. Essential for managing the complexities of software development and ensuring project success.
Product-Oriented Delivery (POD) is a methodology that focuses on organizing teams around products rather than projects. This approach is essential for enhancing product focus, agility, and cross-functional collaboration.
An environment closer to production where final testing and validation occur. Crucial for ensuring that products are ready for production deployment.
A team that supports other teams by providing specialized expertise and tools to improve their performance. Crucial for enhancing overall team effectiveness and efficiency.
Application Lifecycle Management (ALM) is the process of managing an application's development, maintenance, and eventual retirement throughout its lifecycle. Important for ensuring the sustainability and effectiveness of digital products over time.
A testing methodology that verifies the complete workflow of an application from start to finish, ensuring all components work together as expected. Important for ensuring the reliability and performance of digital products, leading to better user satisfaction and fewer post-launch issues.
The high-level structure of a software application, defining its components and their interactions. Essential for designing robust, scalable, and maintainable digital products.
A type of testing conducted to determine if the requirements of a specification are met, often the final step before delivery to the customer. Important for ensuring that a product meets the defined criteria and is ready for release.
User Acceptance Testing (UAT) is the final phase of the software testing process where actual users test the software to ensure it meets their requirements. Crucial for validating that the software functions correctly in real-world scenarios before its release.