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Webfleet by Bridgestone (formerly TomTom Telematics) is a fleet management SaaS providing GPS tracking, driver behavior, vehicle health, and workflow management.
Have any questions? We’re here to help You
Makini Flows is our embedded workflow automation platform, built on n8n, which we consider the best workflow automation tool available. It's fully integrated into Makini and runs on our infrastructure. Flows allows you to build complex integration logic using a visual workflow builder—no code required, though code is supported for advanced use cases. Workflows can be triggered by schedules, webhooks, API calls, or events from connected systems. You can perform data transformations, implement conditional logic, call external APIs, and orchestrate multi-step processes. Flows includes over 1,000 pre-built connectors beyond Makini's industrial systems, enabling integrations with databases, messaging platforms, cloud services, and more. Most customer activations are completed using Flows due to its flexibility and ease of use.
The RATE_LIMIT_EXCEEDED error indicates you've exceeded the API rate limit for the connection or account. Rate limits are typically set per connection and per time window (usually per minute). When you hit a rate limit, the response includes a Retry-After header indicating when you can retry the request. Implement exponential backoff in your retry logic to avoid immediately hitting the limit again. If you consistently hit rate limits, review your API usage patterns—you may be making unnecessary requests, polling too frequently, or could benefit from webhook-based synchronization. For legitimate high-volume needs, contact us to discuss increasing your rate limits.
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.
Makini maintains API stability and provides advance notice of breaking changes. The current API version is v1. When we introduce breaking changes, we release a new API version while maintaining the previous version for a transition period (typically 12 months minimum). Non-breaking changes (like adding new fields or endpoints) are introduced into the current version without requiring updates. We announce upcoming version changes through multiple channels: email notifications, dashboard announcements, and release notes. API responses include version information in headers. We recommend specifying the API version explicitly in your requests to ensure consistent behavior. During version transitions, we provide migration guides and support for updating integrations.
