Selective Email Capture for Multi-Tenant Diagnostic Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Diagnosing and troubleshooting email delivery issues in multi-tenant database systems is time-consuming and resource-intensive, as administrators must manage and analyze email problems across multiple tenants, often requiring external support.
Innovation Solution
A computer-implemented technique that allows administrators to create 'inbound email snapshot' requests to capture and analyze incoming email messages based on specific criteria, enabling tenant-specific troubleshooting without external support, using a graphical user interface to define search criteria for recipient and sender emails.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If administrators manually monitor and analyze all incoming email messages across multiple tenants, then email delivery problems can be diagnosed, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The system extracts only the specific email messages that match the problem criteria from the entire incoming email stream. Administrators can selectively capture emails with specific senders, recipients, subjects, or other characteristics, isolating the relevant subset of emails for analysis without manually reviewing all emails across multiple tenants.
Solution Approach 2:
The system creates copies of matching email messages and stores them in a captured email repository. These captured copies can be analyzed without affecting the original email flow, allowing administrators to examine email delivery issues while the production system continues to operate normally.
2Reliability
If administrators manually analyze email messages across multiple tenants, then email delivery issues can be identified, but human resources are drained and support costs increase
Solution Approach 1:
The system enables administrators to independently diagnose and troubleshoot email delivery issues using the automated email capture and search functionality. By providing self-service capabilities through the graphical user interface, administrators can resolve issues without requiring external support resources, thereby improving productivity and reducing support costs.
Solution Approach 2:
The system provides feedback mechanisms that allow administrators to search and analyze captured emails based on various criteria. This feedback loop enables administrators to quickly identify patterns, root causes, and solutions for email delivery issues without manual analysis of every message.
3Loss of information
If all incoming emails are captured for analysis, then complete diagnostic information is obtained, but system complexity and storage requirements increase
Solution Approach 1:
The system applies different capture criteria to different email streams or tenants based on specific diagnostic needs. Rather than uniformly capturing all emails, administrators can configure targeted capture rules for specific senders, recipients, email types, or time periods, reducing the volume of captured emails while maintaining diagnostic effectiveness.
Solution Approach 2:
The email capture system is segmented into configurable criteria-based filters that divide the incoming email stream into manageable subsets. Each capture rule can be independently configured and managed, allowing administrators to create multiple targeted capture scenarios without increasing overall system complexity.
Data Source
AI summary
A method for processing email is presented here. The method begins by receiving email capture criteria for incoming email messages directed to a destination tenant of a multi-tenant database system. The method continues by comparing the email capture criteria to searchable information conveyed in the incoming email messages. When the searchable information in a candidate email message of the incoming email messages matches the email capture criteria by at least a threshold amount, the candidate email message is identified as a matched email message. The method continues by saving a copy of the matched email message for diagnostic analysis, and performing incoming email processing on the matched email message.