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Yes, Makini provides extensive customization options for field mappings. Through the connection settings interface, you can view how each system's fields map to Makini's unified model. You can remap fields, add custom field mappings, or create entirely new custom fields that will appear in API responses. These customizations are connection-specific, allowing different mapping configurations for different customers. Mapping changes take effect immediately without requiring code changes. For standardized workflows, default mappings typically provide sufficient coverage. Custom mappings are most useful when integrating with heavily customized systems or when you need fields beyond the standard unified model.
Makini provides sandbox connections for testing without affecting production systems. Sandbox connections include sample data representing common scenarios: standard purchase orders, orders with custom fields, orders in various states (draft, approved, completed), and error cases like invalid vendors or out-of-stock items. Sandbox data is read-only for safety—write operations return success responses without modifying data. This allows thorough testing of your integration logic without risk. For testing with specific systems, we recommend using dedicated test instances of the actual systems (like SAP sandbox environments) connected through Makini, which provides the most realistic testing experience.
Makini supports create, read, update, and delete (CRUD) operations, though availability varies by system and entity type. Most systems support creating and updating core entities like purchase orders, work orders, and inventory items. Read operations are universally supported across all entity types. Delete operations are less commonly supported due to system constraints—many industrial systems use soft deletes or status changes rather than true deletion. Update operations may be limited to specific fields depending on system configuration and business rules. For example, some systems prevent modifying purchase orders after approval. We recommend validating specific operation support for your use case during the technical deep dive.
Our standard SLA targets 99.9% uptime for cloud deployments, which translates to less than 9 hours of downtime per year. For enterprise customers with critical integration requirements, we offer enhanced SLAs up to 99.99% through multi-region redundancy and dedicated infrastructure. SLAs cover the Makini platform itself—availability of connected third-party systems is outside our control, though we monitor their health and alert you to issues. For self-hosted deployments, uptime depends on your infrastructure configuration, and we provide architecture guidance to help you achieve your availability targets. We maintain a public status page showing real-time system health and incident history.
