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Makini's unified API acts as a common denominator across all connected systems. We map each system's data structure to a standardized data model, exposing consistent endpoints regardless of the underlying platform. This means you write the same code to retrieve purchase orders from SAP, NetSuite, or Dynamics—the API calls and response formats are identical. You always get data in the same structure, making it easy to build consistent business logic. The unified approach eliminates the need to learn each system's unique API, manage multiple authentication methods, or handle varying data formats.
When customers change their system credentials, the existing Makini connection will lose access and workflows will begin failing with authentication errors. Makini provides webhook notifications when connections require reauthorization, allowing you to proactively notify customers. Customers can reconnect by logging into the system through Makini's authentication flow again, which issues a new API token. The reconnection process takes only a few minutes. Best practice is to implement connection health monitoring and automated alerts when connections require attention, so you can address issues before they impact operations.
Design your webhook receiver to handle duplicates and out-of-order webhooks, as network issues or retries can cause both scenarios. Keep the receiver lightweight—ideally writing incoming webhooks to a queue or reliable storage—then process them asynchronously. This prevents timeouts and allows your system to handle high-volume webhook spikes. Respond with a 200 status code immediately after receiving the webhook, before processing begins. Implement idempotency by tracking processed webhook IDs and skipping duplicates. Use constant-time comparison for signature verification to prevent timing attacks. If webhook processing fails, log the error but still return 200 to prevent unnecessary retries. Set up monitoring and alerts for webhook failures so you can investigate issues promptly. For critical workflows, combine webhooks with periodic polling as a fallback mechanism.
Yes, through Makini Flows, which includes connectors for popular databases including Snowflake, PostgreSQL, MySQL, MongoDB, and others. This enables workflows that synchronize data between industrial systems and your data warehouse or analytics platforms. For example, you can sync purchase orders from SAP to Snowflake for analytics, or use database queries to drive integration logic. Database integrations use the same workflow builder as other integrations, making it easy to combine industrial system data with database operations. For direct database-to-database syncing, we can help design optimized workflows. Database connections are treated as custom integrations and may require additional workflow development.
