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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, you can trigger syncs manually through both the API and the Makini dashboard. The API provides endpoints to initiate syncs for specific entities (purchase orders, work orders, etc.) on a given connection. Manual syncs are useful when you need immediate data updates outside the regular schedule, when onboarding new customers, or when recovering from sync failures. Manual syncs follow the same incremental logic as scheduled syncs, retrieving only changed records since the last successful sync. You can also trigger full re-syncs that ignore the last sync timestamp and retrieve all records within the configured historical period.
Testing should cover authentication, data retrieval, data writing, error handling, and workflow logic. Start by connecting a test system through Makini's authentication flow. Use sandbox or non-production instances of your target systems when available. Test API calls for each entity type you'll use (purchase orders, work orders, etc.) to verify data mapping and field coverage. Test error scenarios by providing invalid inputs or attempting operations without proper permissions. For workflow-based integrations, test each workflow step independently before testing end-to-end. Verify webhook delivery and signature verification. Test with realistic data volumes to identify performance issues. Include tests for connection failure scenarios and verify your error handling and retry logic work correctly.
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.
