Feature Release
The process of making a new feature available to users, often involving coordination between development, marketing, and support teams. Essential for managing the rollout and communication of new features to users.
16 topics found for:
“new feature deployment”
Feature Flag
A technique used in software development to enable or disable features in a production environment without deploying new code, allowing for controlled feature rollouts. Essential for managing feature releases and testing in live environments.
MVF
Minimum Viable Feature (MVF) is the smallest possible version of a feature that delivers value to users and allows for meaningful feedback collection. Crucial for rapid iteration in product development, enabling teams to validate ideas quickly and efficiently while minimizing resource investment.
FAR
Feature Adoption Rate (FAR) is the percentage of users who adopt a new feature within a specified time period after its release. This metric is important for measuring the success and impact of new product features.
MMF
Minimum Marketable Feature (MMF) is the smallest set of functionality that delivers significant value to users and can be marketed effectively. Crucial for prioritizing development efforts and releasing valuable product increments quickly, balancing user needs with business objectives.
Release
The distribution of a new or updated software product to users. Important for delivering new features, improvements, and fixes to users, ensuring continuous enhancement of the product.
Staging Environment
An environment that replicates the production environment, used for final testing before deployment. Crucial for ensuring that digital products are thoroughly tested and perform as expected before going live.
Enrichments
Features or elements added to enhance the functionality or user experience of a system. Crucial for improving user engagement and satisfaction by adding valuable enhancements.
ModelOps
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.
Dev Environment
A development environment where software is created and modified. Crucial for allowing developers to build and experiment with new features.
Lower Environment
A non-production environment used for development and testing before deployment to production. Important for ensuring that changes are thoroughly tested before going live.
ARA
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.
Regression Testing
A type of software testing that ensures that recent changes have not adversely affected existing features. Essential for maintaining software quality and reliability.
IDE
Integrated Development Environment (IDE) is a software suite that combines tools like code editors, debuggers, and compilers. Essential for improving developer productivity and ensuring efficient and error-free coding practices.
Test Environment
An environment used for testing software to identify issues and ensure quality before production deployment. Important for detecting and fixing bugs to ensure the software's reliability and performance.
AWS
Amazon Web Services (AWS) is a comprehensive cloud computing platform provided by Amazon that offers a wide range of services including computing power, storage, and databases. Crucial for enabling scalable, cost-effective, and flexible IT infrastructure solutions for businesses of all sizes.