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Aspen Mtell uses AI-powered agents to recognize asset failure patterns and provide prescriptive maintenance recommendations for industrial equipment.
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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.
Yes, customers can connect as many systems as needed. Each connection is independent with its own API token, allowing you to manage multiple ERP systems, CMMS platforms, or other integrations for a single customer. This is common in organizations with multiple subsidiaries, regional systems, or during migration periods when legacy and new systems run in parallel. Each connection consumes connection credits based on the system type and deployment model. There's no technical limit on the number of connections per customer. For customers using multiple instances of the same system (like regional SAP instances), each instance requires a separate connection with its own credentials and token.
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.
Use the following OpenSSL command to generate both private and public keys:
openssl req -new -x509 -newkey rsa:4096 -keyout private.pem -sigopt rsa_padding_mode:pss -sha256 -sigopt rsa_pss_saltlen:64 -out public.pem -nodes
Upload the public.pem to NetSuite and keep the private.pem secure for use in Makini Link.
