Problem:
Finding a specific user session within Azure Insights for troubleshooting performance issues is currently a slow and cumbersome process. This significantly impacts the ability to quickly identify and resolve performance bottlenecks for individual users.
Proposed Solution:
Enhance Search Functionality:
Implement a more robust search bar within the Azure Insights interface.
Allow filtering by user name, session ID, start/end time, and other relevant criteria.
Support advanced search operators (e.g., wildcards, boolean logic) for more precise searches.
Consider adding a "quick find" or "search as you type" feature for faster results.
Improve Session Visualization:
Provide a more intuitive and visually appealing representation of user sessions.
Consider using a timeline view with interactive elements (e.g., hover for details, zooming/panning).
Enable color-coding of sessions based on performance metrics (e.g., latency, CPU usage, network bandwidth).
Optimize Data Retrieval:
Investigate and optimize the underlying data retrieval mechanisms to improve query performance.
Consider caching frequently accessed data to reduce query latency.
Explore the use of more efficient data storage and indexing techniques.
Provide Contextual Information:
Display more contextual information alongside each session, such as:
User name, device name, location
Session duration and start/end times
Summary of key performance metrics (e.g., average latency, CPU usage)
Links to relevant logs and performance data for deeper analysis
Expected Benefits:
Faster Troubleshooting: Significantly reduce the time spent searching for specific user sessions.
Improved User Experience: Provide a more intuitive and efficient interface for investigating performance issues.
Increased Productivity: Enable faster identification and resolution of performance problems, minimizing user downtime and improving overall productivity.
No CommentsBe the first to comment
