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Connection credits are Makini's billing unit. Each system integration consumes a specific number of credits based on complexity. Systems are divided into three tiers: Tier 1 (simple systems like cloud CMMS), Tier 2 (mid-complexity ERP systems), and Tier 3 (complex systems like SAP). On-premises installations require double the credits of their cloud equivalents. For example, a cloud SAP S4/HANA connection might use 4 credits, while an on-premises SAP ECC installation uses 8 credits. Connection credits are consumed when you establish a connection and are returned to your pool when you disconnect. This allows flexible allocation across customers—you're not locked into specific connections.
Write operation limitations vary by system. Common limitations include: field-level restrictions (some fields may be read-only), business rule validation (orders may require certain fields or valid vendor codes), permission requirements (the connected account needs specific permissions), timing restrictions (some systems prevent modifications after certain workflow states), and rate limits on write operations. Custom fields in target systems may not be writable through standard APIs. Some systems have transactional requirements—for example, purchase order line items must be created in the same transaction as the order header. During implementation, we identify write operation limitations for your specific use cases and design workflows that work within those constraints.
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.
Makini provides several performance monitoring capabilities. API responses include timing information showing request processing time. The dashboard includes performance metrics showing average response times, throughput, and error rates over time. You can set up alerts for performance degradation or error rate increases. Each request generates a unique request ID that enables detailed performance analysis. For workflow-based integrations, execution logs show per-step timing, helping identify bottlenecks. We recommend implementing client-side monitoring to track end-to-end latency including network time. Monitor trends over time rather than individual requests—occasional slow requests are normal, but sustained increases may indicate issues requiring investigation.
