The Integration Challenge: Overcoming Roadblocks in the Cloud Era

Integrating Salesforce with external systems using REST API enables seamless communication and data exchange between Salesforce and other applications or platforms.

PLATFORM EVENTS

Within our integration framework, we leverage the robust capabilities of Salesforce’s platform events and the Queueable interface to ensure efficient and scale able data processing. We are leveraging Record-Triggered Flow that launches when a record is created or updated. 

Platform Events exchange event data in real-time within the Salesforce platform, as well as between Salesforce and external platforms. Simply put, this is the way that Salesforce can broadcast when there have been changes made that these other modules/external platforms need to act on.

Additionally, the Queueable interface enhances our integration architecture by enabling asynchronous processing of complex tasks and data transformations. Leveraging Queueable jobs, we can efficiently manage and prioritize integration tasks, ensuring optimal resource utilization and minimizing impact on system performance.

RETRY MECHANISM

In the event of an external system down, our integration framework will make up to five retry attempts with specific time intervals before marking the operation as failed.

LOGGING AND TRACKING MECHANISM FOR SEAMLESS INTEGRATION

For each incoming or outgoing request, a log record will be generated containing the status, endpoint URL, and returned JSON from the external system. This allows users to track orders and, in case of failure, review the failure reason.

Introducing Our Custom Field Mapping Tool for Seamless Integration

At Kasetti Technologies, we’re excited to introduce our cutting-edge Field Mapping Tool designed to streamline integration processes and enhance data consistency across platforms.

What is the Field Mapping Tool?

Our Field Mapping Tool is a powerful solution crafted to simplify the mapping of Salesforce fields to JSON fields for REST API integration. This tool empowers developers and administrators to effortlessly configure field mappings, ensuring seamless data exchange between Salesforce and external systems.

We have built a user interface that enables users to map Salesforce fields with JSON fields.

As shown in the image above, users can add new services for any particular country.

What is the Field Mapping Tool?

Our Field Mapping Tool is a powerful solution crafted to simplify the mapping of Salesforce fields to JSON fields for REST API integration. This tool empowers developers and administrators to effortlessly configure field mappings, ensuring seamless data exchange between Salesforce and external systems.

We have built a user interface that enables users to map Salesforce fields with JSON fields.

There are three options provided:

  • Input: Used to map incoming JSON data fields to Salesforce fields.
  • Output: Used to map outgoing Salesforce fields to JSON fields.
  • Both: Used to map both incoming and outgoing fields.

Our tool possesses the capability to parse the Nested JSON data at any level of complexity and comprehensively display the fields for seamless mapping. Additionally, our tool can also parse XML data with equal proficiency, ensuring versatile data handling across formats.

Our tool simplifies field mapping by providing intuitive options for each JSON field: Parent Object, Child Object, and Fields. Users can effortlessly navigate through the mapping process by selecting parent and child objects, as well as individual fields, streamlining the integration experience.

From a JSON data source, our tool can perform field mapping and insert multiple object records into Salesforce seamlessly. Similarly, it can fetch multiple object records from a single JSON data source, enabling efficient data retrieval and manipulation.

With our tool, users have the capability to map a single Salesforce field with multiple JSON fields, providing flexibility and customization in data integration processes. This feature streamlines mapping procedures and enhances adaptability to diverse data structures.

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