Background
IBM's Edge Application Manager (IEAM) enables developers to manage edge computing environments, where data is processed closer to its source, reducing latency and improving performance.
Search functionality is critical for developers using IEAM, allowing them to efficiently monitor nodes, modify environments, and deploy policies. This case study explores the creation of an intuitive search experience that simplifies navigation within this complex tool.
Comparative Analysis
Our research into advanced filtering and multi-variable search revealed key principles:
Low Fidelity Exploration
Solution
To accommodate a potentially infinite number of filter categories, users can refine searches through:
The search bar works alongside the filter menu, allowing users to search by category or specific node name — offering flexibility in how they refine results.
The display bar tracks applied filters from both the search bar and filter menu, displaying them as dismissible tags.
The display bar also employs AND/OR filtering. When two or more filters are applied, users have the ability to sift through different parameters with a "match any/match all" dropdown that appears, furthering their ability for a nuanced search experience across generally large datasets.