Azure Blob Storage - OpenText Internet of Things Platform Integration and Automation

Common Integration Use Cases Between Azure Blob Storage and OpenText Internet of Things Platform

• Centralized storage for IoT sensor history and raw telemetry

  Direction: OpenText Internet of Things Platform ? Azure Blob Storage

  Stream high-volume sensor readings, device events, and gateway logs from the IoT platform into Azure Blob Storage for long-term retention and low-cost archival. This supports compliance, auditability, and historical analysis without overloading the operational IoT environment. Operations and analytics teams can later access the stored data for trend analysis, root-cause investigations, and model training.

• Distribution of processed IoT reports to business teams

  Direction: OpenText Internet of Things Platform ? Azure Blob Storage

  Export daily or hourly analytics outputs such as equipment health reports, anomaly summaries, and production performance dashboards into Azure Blob Storage for easy sharing across departments. Plant managers, maintenance planners, and quality teams can retrieve standardized files from a central location, reducing manual report emailing and version control issues.

• Device firmware and configuration file delivery

  Direction: Azure Blob Storage ? OpenText Internet of Things Platform

  Store firmware packages, device configuration templates, calibration files, and edge application updates in Azure Blob Storage, then make them available to the IoT platform for controlled distribution to connected devices. This enables coordinated rollout of updates across fleets in manufacturing, utilities, or logistics, with better governance and rollback support.

• Backup of IoT platform exports for disaster recovery

  Direction: OpenText Internet of Things Platform ? Azure Blob Storage

  Automatically back up device registries, rule configurations, alert definitions, and integration payloads from the IoT platform into Azure Blob Storage. This creates a secure recovery repository that supports business continuity, faster restoration after outages, and easier environment replication for testing or regional deployments.

• Data staging for enterprise analytics and data lake pipelines

  Direction: OpenText Internet of Things Platform ? Azure Blob Storage

  Land normalized IoT data in Azure Blob Storage as a staging layer before loading it into downstream analytics tools, data warehouses, or machine learning pipelines. This is useful when the business needs to combine sensor data with ERP, maintenance, or supply chain data for cross-functional reporting and predictive insights.

• Reference data and master files for IoT enrichment

  Direction: Azure Blob Storage ? OpenText Internet of Things Platform

  Provide asset master lists, site hierarchies, maintenance schedules, product catalogs, and threshold files from Azure Blob Storage to enrich incoming IoT data. The IoT platform can use these files to map sensors to assets, apply location context, and trigger more accurate alerts based on business rules rather than raw readings alone.

• Secure sharing of incident evidence and operational attachments

  Direction: Bi-directional

  When the IoT platform detects an exception such as temperature excursions, vibration anomalies, or equipment downtime, it can store supporting files such as images, logs, or diagnostic exports in Azure Blob Storage. Maintenance and quality teams can then attach investigation notes, corrective action documents, and approval records back into the same storage location for a complete incident record.