




BlueFolder is a field-service and equipment-maintenance management platform that helps teams manage work orders, recurring service, dispatching, asset history and customer communication. It is widely used by service providers that need simple, reliable tools for day-to-day maintenance operations.
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Makini is a unified API platform for industrial systems integration. We provide connectivity to over 2,000 ERP, CMMS, and WMS systems through a single, standardized API. Instead of building separate integrations for each system, you connect once to Makini and gain access to all supported platforms. This approach transforms integration projects that typically cost tens of thousands of dollars and take months into a manageable operational expense with deployment times of 1-2 weeks.
Makini sends webhooks for several event types: sync completion (successful or failed), connection authentication required (when credentials need renewal), connection status changes (online/offline), and system errors requiring attention. Each webhook payload includes the event type, timestamp, connection ID, and event-specific details like error messages or affected entities. You can configure which events trigger webhooks on a per-connection basis. For workflow-based integrations using Makini Flows, you can also set up custom webhooks triggered by specific conditions in your business logic, providing granular control over real-time notifications.
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.
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.
