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Overview

The monitoring screen provides an overview of message flow performance, showcasing the counts of successful transmissions, errors encountered, and messages delivered. Users can refine their view by selecting a specific date range for analysis.

Upon selecting a particular status (such as successful or error), users gain access to a detailed breakdown, including individual message IDs and their corresponding start and end timestamps. This granular information facilitates thorough analysis and troubleshooting of message flow activity.

Clicking the three dots under the "Action" heading offers the following options:

  • Show Payload: It gives users the ability to review both input and output logs from the message flow.

  • Show Full Log: Provides users with access to the input and output logs of all connectors within the flow. This functionality allows users to review the data changed at each stage of the process, facilitating comprehensive analysis and troubleshooting of streaming performance. The "Show Full Log" feature allows viewing of headers and properties in addition to incoming and outgoing logs to the connectors. This feature is used to more granularly monitor and debug the communication that occurs during the operation of an application or system component. When monitoring communication between connectors, viewing the incoming and outgoing data flow as well as headers and properties helps identify possible causes of errors in communication.

With the download feature accessible in both "Show Payload" and "Show Full Log," logs can be effortlessly retrieved and analyzed, offering a convenient method to review communication specifics.

Note

It's essential to highlight that to utilize "Show Full Log" functionality effectively, users must ensure that the log level is configured to "All Steps," as outlined in the Endpoints. This ensures that comprehensive logs are captured for every stage of the process, providing users with detailed insights into the flow's operation.

Monitoring makes it easy to identify errors occurring in flows in MIP, evaluate performance and guide improvement processes. In MIP, it serves to increase the effectiveness of an organization and detect problems in advance.