From hours to minutes: Rethink... Note

From hours to minutes: Rethinking Microsoft Intune compliance reporting with the Export API

Managing large device fleets with Microsoft Intune often requires retrieving extensive reporting data, a task ideally suited for the export API. This API facilitates asynchronous export jobs for reports, drastically reducing the number of API calls compared to individual Graph calls. For instance, a nightly job for 50,000 devices, which previously involved 100,000 operational Graph API calls and took 2.5 hours, can now be completed in 15 minutes with only 15 calls using the export API. This significant improvement stems from the export API's ability to generate an entire report server-side, providing a single downloadable file.The old method, using operational Graph APIs, involves enumerating devices and making individual calls for each device's compliance status, leading to frequent throttling, complex threading, and fragility due to numerous failure points. The export API, conversely, follows a simple request-poll-download pattern, eliminating this per-device overhead. The core advantage lies in reducing round-trips rather than data volume, as each API call incurs authentication, TLS setup, and network latency costs. By consolidating data retrieval into a single bulk transfer, the export API minimizes these overheads.This shift delivers substantial benefits for IT administrators, including shorter maintenance windows, reduced code complexity, enhanced reliability, and lower service impact. It also offers scalability, as doubling the device fleet primarily means a larger file download, not an exponential increase in API calls. The output schema remains consistent, ensuring no disruption to downstream systems like dashboards or data warehouses. While the export API is ideal for bulk, scheduled snapshots, operational endpoints are still suitable for real-time, single-device lookups. The key takeaway is to leverage the export API for comprehensive fleet data, transforming a time-consuming process into an efficient, robust operation.