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Connecting to any system through Makini is straightforward. You select the product you want to connect to, log in with your credentials, and receive an API token. The process takes just a few clicks and works consistently across all 2,000+ supported systems. For most systems (85-90% of cases), you only need the instance URL, username, and password. Some systems may require additional steps like API token generation, and we provide detailed authentication guides for these cases. The connection experience is designed to be simple enough that non-technical users can complete it without IT support.
All API requests require authentication via bearer token. After successfully connecting a system through Makini's authentication module, you receive an API token. Include this token in the Authorization header of your requests: `Authorization: Bearer YOUR_API_TOKEN`. Each connection has a unique token, allowing you to manage multiple customer connections independently. Tokens remain valid as long as the underlying system credentials are valid and the connection is active. If a customer changes their system credentials, you'll need to reconnect to obtain a new token.
Connection-specific errors often relate to system configuration, permissions, or connectivity issues. Common scenarios include: the system is offline or unreachable, credentials have expired, API rate limits on the source system, or permission changes in the source system. Use the connection status endpoint to check connection health before making API calls. Implement circuit breaker patterns—if a connection repeatedly fails, temporarily stop making requests to avoid cascading failures. Log connection-specific errors separately to identify problematic connections. When errors occur, check if the issue affects all operations or specific entity types, which helps narrow down permission or configuration issues. For on-premises systems, verify network connectivity and firewall rules. Contact support if connection errors persist, providing the connection ID and affected operations.
For bulk operations, we recommend batch processing with appropriate rate limiting and error handling. Makini Flows provides built-in batch processing capabilities with configurable batch sizes, delays between batches, and error handling. For API-based bulk operations, implement pagination when retrieving large datasets—our API returns results in pages with continuation tokens for fetching subsequent pages. When writing large volumes of data, break operations into smaller batches (typically 50-100 records per batch) with delays between batches to avoid overwhelming the target system. Implement comprehensive error logging to identify which specific records fail in a batch. For very large operations (thousands of records), consider asynchronous processing patterns where you queue operations and process them in the background.
