Analytics
The Analytics page provides a high-level overview of the project(s). You can view the statistics of all your projects combined or as individual projects.
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The Analytics page provides a high-level overview of the project(s). You can view the statistics of all your projects combined or as individual projects.
Last updated
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Track synchronization, storage, data transfer, resource utilization and execution details with intuitive charts for better insights. There are two levels of analytics.
The analytics icon is located on the left-side menu. This section offers valuable insights into resource utilization, helping the logged in user to identify which projects or integrations are consuming the most resources. This section offers a comprehensive visualization of data across all projects owned by the user, with options to filter by projects and analyze data over specific time periods.
This section allows you to view only the self-owned projects.
To view analytics for a specific project, navigate to the project and click on the analytics icon. Project-level analytics are accessible to all users associated with the project.
The summary tab displays general key metrics.
This curve graph displays the number of success records and failure records over a specific time period. This count includes all types of integrations - pipes and workflows—batch, scheduled, and dynamic.
This curve graph provides details on
API Hits: Number of API calls sent to different systems
Code runner Hits: Number of workflow code runner invocations
Email Hits: Number of emails sent from your project. This includes failure alerts, health checkup and so on.
This curve graph provides insights into the time consumed for all API calls sent in the project during the specified time period.
The Trigger section illustrates the number of scheduled synchronizations, manual synchronizations, Lightning Dynamic Calls, DCKAP Integrator Hooks, Lightning Hooks, and DCKAP Integrator Dynamic Calls made during the specified time period.
The Execution tab displays metrics related to computation performance.
This graph provides insights into the time consumed by workflows for handling integrations.
This graph illustrates the execution time taken by various code runners at a specified time interval.
The storage tab helps to visualize the amount and frequency of data stored. The unit of measurement in the graph dynamically adjusts based on the data size, displaying in Bytes (B), Kilobytes (KB), Megabytes (MB), or Gigabytes (GB) as appropriate.
A part of the sample console log is mentioned in the below screenshot.
This graph provides information about the storage occupied by the console logs generated by synchronizations.
Inside a project, on clicking the logs icon from the side-menu, all logs will be listed.
This graph logs information about the storage occupied to store these log records in the database.
Detailed logs store entity level information inside the logs.
The storage details of detailed logs is visible in this curve graph.
The data transfer tab helps to visualize the amount of data sent and received in the API calls of integrations. The unit of measurement in the graph dynamically adjusts based on the data size, displaying in Bytes (B), Kilobytes (KB), Megabytes (MB), or Gigabytes (GB) as appropriate.
The amount of data sent to different systems is shown in the graph. Example: The data sent in a POST API call.
The amount of data received from the system is reflected in the graph. Example: The data received in a GET/POST API call.
