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The initial sync occurs when you first connect a system and retrieves historical data to establish a baseline. This includes records from a configurable time period (typically 30-90 days) and can take several minutes to hours depending on data volume. Initial syncs are complete snapshots of the requested data. Incremental syncs occur on subsequent runs and retrieve only records created or modified since the last successful sync. Makini tracks sync timestamps and uses them to query for changes efficiently. Incremental syncs are much faster, usually completing in seconds to minutes. This approach minimizes API load on source systems while keeping your data current.
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.
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.
Our standard SLA targets 99.9% uptime for cloud deployments, which translates to less than 9 hours of downtime per year. For enterprise customers with critical integration requirements, we offer enhanced SLAs up to 99.99% through multi-region redundancy and dedicated infrastructure. SLAs cover the Makini platform itself—availability of connected third-party systems is outside our control, though we monitor their health and alert you to issues. For self-hosted deployments, uptime depends on your infrastructure configuration, and we provide architecture guidance to help you achieve your availability targets. We maintain a public status page showing real-time system health and incident history.
