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When a system becomes unavailable, Makini detects the connectivity failure and marks the connection status accordingly. Scheduled syncs will fail with connectivity errors. API requests to the connection will return error responses indicating the system is unreachable. Makini continues attempting scheduled syncs using exponential backoff—initial retries happen frequently, then progressively less often to avoid overwhelming the system when it comes back online. Webhooks notify you of the connection status change. When the system comes back online, normal operations resume automatically. For temporary outages, no action is required. For extended outages, you may want to notify the customer. Connection credits remain consumed during outages since the connection configuration persists.
If you continue to experience problems with your NetSuite M2M connection after following the troubleshooting steps, contact Makini support at support@makini.io. You can also refer to the NetSuite API Documentation and Makini Documentation for additional technical details.
Machine-to-Machine (M2M) authentication is a secure method that allows automated data exchange between NetSuite and other applications without requiring manual user login. It uses OAuth 2.0 Client Credentials grant flow with certificate-based authentication to establish secure, automated connections.
500-level errors indicate issues on Makini's side or with the connected system. These are typically temporary and retrying the request after a brief delay often succeeds. Implement exponential backoff for retries—wait a few seconds, then progressively longer intervals. If errors persist beyond a few retries, check the Makini status page for service disruptions. The error may also stem from the connected system experiencing issues rather than Makini itself. For persistent 500 errors, contact support with the request ID from the error response. Include details about when the error started, which operations are affected, and which connections are impacted. Our support team can quickly identify whether the issue is systemic or connection-specific.
