Marketplace - LevelShift – AI Based Log & Exception Monitoring
AI Based Log Framework with monitoring dashboards to track and analyze logs for accurate diagnosis and faster issue resolution.
Solution Details
- Difficulty Level
- BEGINNER
- Solution Type
- Accelerator
- Author
- LevelShift
- Published on
- Jun 30, 2025
- Last updated on
- Jan 21, 2026
Get Started
Get StartedHow it works
Enables structured logging, real-time tracking with notification and debugging to improve integration reliability.
Key Features
- Configurable Logging : Enable or disable logs at runtime to support control and tuning of performance.
- AI Enabled Insights : Boomi LLM features for natural language queries and analyzing insights on the data
- Business Flow Tracking : Use unique IDs to trace document payloads and transaction paths across systems.
- Asynchronous Processing : Reduce processing delays by decoupling logging from core operations.
- Step-Level Traceability : Track logs at each stage for more accurate debugging and issue isolation.
- Centralized Log Storage : Store and access logs through any database or data warehouse like as a single source.
- Monitoring Dashboards : Monitor logs and system performance using interactive dashboards like Power BI or any dashboard of your choice.
- Automated Notifications : Alert support teams on major failures through real-time email notifications.
Verified Partner/Vendor Supported : This accelerator is fully supported and managed by the Partner/Vendor. For any support related inquiries or assistance including troubleshooting, guidance and/or updates to the solution, please contact the Partner/Vendor directly.
Applications Required
- Azure AI Search
- Jira
- LevelShift