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SAP Intelligent Asset Management is a suite of cloud applications including SAP Asset Intelligence Network, Asset Strategy, Predictive Asset Insights, and Asset Manager for connected asset operations.
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Makini maintains a comprehensive data model built from analyzing thousands of industrial systems. When data flows through Makini, we automatically transform it from the source system's format into our standardized structure. For example, purchase orders from SAP, NetSuite, and Dynamics all return with consistent field names, data types, and structures. This normalization happens in real-time as data passes through the API. You also have access to raw data if needed for specific use cases. The unified model covers common entities like purchase orders, work orders, inventory items, vendors, and assets, with extensive field coverage across systems.
Makini implements automatic retry logic for failed webhook deliveries. If your endpoint is unavailable or returns an error status code, we retry delivery with exponentially increasing intervals starting at 30 seconds. Retries continue for up to 24 hours. If delivery ultimately fails, the webhook is logged but not delivered. You can view failed webhooks in the Makini dashboard and manually retry them. To prevent webhook loss during extended downtime, implement a polling backup strategy—periodically check the sync status and query for recent changes if no webhooks have been received within the expected time window. Design your webhook receiver to be idempotent, as retry logic may result in duplicate deliveries.
Makini provides several debugging tools. The dashboard shows detailed request logs including request/response payloads, headers, status codes, and timing. Each API request generates a unique request ID included in responses—provide this when contacting support for faster investigation. For workflow-based integrations, Makini Flows includes execution logs showing each step's input/output, timing, and any errors. Connection health monitoring shows sync history, error rates, and connection status over time. API responses include detailed error information with error codes and messages. For development, we recommend using API clients like Postman or Insomnia to interactively test API calls and inspect responses. Our API documentation includes request/response examples for all endpoints.
Yes, Makini supports multi-region deployments for customers requiring data residency in specific regions or needing high availability across geographies. Each region runs an independent instance of Makini with its own infrastructure, ensuring data remains within the specified region. Multi-region deployments are most common for self-hosted installations where customers want instances in multiple AWS regions or data centers. For cloud deployments, we can discuss region-specific hosting based on your requirements. Multi-region support ensures compliance with data localization regulations and provides geographic redundancy for mission-critical integrations.
