Enhancing Real-Time Integration in SAP CPI: Resolving Timeout & Bad Request Issues
Enhancing Real-Time Integration in SAP CPI: Resolving Timeout & Bad Request Issues
Client Success Story : Cello Group
Crompton Greaves Consumer Electricals Limited is an Indian electrical equipment company based in Mumbai, India. The company has lighting and electrical consumer durables including LED lighting, fans, pumps, and household appliances like water heaters, air coolers, and kitchen appliances.
Business Case
To optimize SAP CPI’s real-time integration by resolving timeout issues and improving bad request handling, ensuring faster response times, seamless data processing, and robust error management.
The Challenge
faced two critical challenges affecting their SAP CPI integration:
Frequent Timeout Errors
Long-running backend processes, large payload sizes, and suboptimal timeout configurations led to transaction failures and operational inefficiencies.
Bad Request Issues (HTTP 400 Errors)
Malformed payloads, incorrect data formats, missing mandatory fields, and integration mismatches resulted in failed transactions and inconsistent data.
The Solution
To address these issues, a comprehensive optimization strategy was implemented
Optimizing Performance & Timeout Handling:
Streamlined backend processing to reduce response times.
Increased timeout settings in SAP CPI adapters (HTTP, SOAP, and Cloud Connector).
Introduced asynchronous messaging (JMS queues) for better load management.
Implemented data compression and batch processing to handle large payloads efficiently.
Enhancing Bad Request Handling & Error Management:
Integrated input validation to ensure payload integrity before processing.
Configured SAP CPI error-handling policies for automatic issue detection and logging.
Developed a retry mechanism and asynchronous processing to manage transient failures.
Implemented custom exception handling to generate meaningful error messages and auto-correct minor data discrepancies.
Implementation
SAP CPI best practices, including iRPA, throttling mechanisms, error handling strategies, Groovy scripts, and message mappings, were leveraged to create a stable and resilient integration framework. Exception subprocesses were introduced to automatically categorize and resolve bad requests in real time, significantly reducing manual intervention.
Business Benefits
By combining performance optimization with advanced error-handling mechanisms, the customer achieved:
50% Faster
50% Faster Response Times through streamlined backend processes and optimized timeout settings.
80% Reduction
80% Reduction in Transaction Failures by proactively managing bad requests and transient errors.
Improved Operational Efficiency
Improved Operational Efficiency with automated troubleshooting and seamless data integration.
