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Yes, Makini supports both cloud-based and on-premises systems. For on-premises installations, connections require double the connection credits compared to cloud systems. The connection process typically requires opening specific ports and whitelisting Makini's IP addresses in your firewall configuration. For some on-premises systems, VPN tunnels may be necessary. We provide detailed technical requirements during implementation planning. In cases where security policies prohibit external connections, we offer self-hosted deployment options where Makini runs entirely within your infrastructure, eliminating the need for external network access to on-premises systems.
Yes, Makini provides extensive customization options for field mappings. Through the connection settings interface, you can view how each system's fields map to Makini's unified model. You can remap fields, add custom field mappings, or create entirely new custom fields that will appear in API responses. These customizations are connection-specific, allowing different mapping configurations for different customers. Mapping changes take effect immediately without requiring code changes. For standardized workflows, default mappings typically provide sufficient coverage. Custom mappings are most useful when integrating with heavily customized systems or when you need fields beyond the standard unified model.
Makini provides webhook testing tools in the dashboard where you can trigger test webhook deliveries to verify your endpoint configuration. Test webhooks use sample payloads matching actual event structures. Verify your endpoint receives the webhook, validates the signature correctly, and responds with a 200 status code within 10 seconds. Test webhook retries by having your endpoint return error codes or timeout, then verify Makini retries as expected. Test duplicate handling by processing the same webhook multiple times. For local development, use tools like ngrok to expose your local endpoint for webhook testing. The webhook logs in the Makini dashboard show delivery attempts, response codes, and timing, helping debug delivery issues.
Based on our market data, building industrial integrations in-house typically costs $50,000-$150,000+ per integration and takes 2-24 months depending on complexity. Maintenance requires dedicated resources—roughly one full-time person per three integrations. Makini transforms these economics: integrations go live in 1-6 weeks, costs are predictable OPEX rather than large upfront CAPEX, and maintenance is included. You gain access to 2,000+ integrations instead of building them one at a time. Our team has six years of specialization in industrial integrations, meaning we've solved problems you haven't encountered yet. For product companies, Makini allows faster time to market and frees engineering resources to focus on your core product rather than building and maintaining integration infrastructure.
