Amazon S3 - OpenText Internet of Things Platform Integration and Automation

Common Integration Use Cases Between Amazon S3 and OpenText Internet of Things Platform

• Centralized storage for IoT sensor history and raw telemetry
  Data flow: OpenText Internet of Things Platform ? Amazon S3
  Store high-volume sensor readings, device events, and gateway logs in Amazon S3 for long-term retention, auditability, and low-cost access. This supports historical analysis, compliance reporting, and replay of device data when troubleshooting production issues.
• Batch export of cleaned IoT data to enterprise analytics and data lake environments
  Data flow: OpenText Internet of Things Platform ? Amazon S3
  After ingestion and normalization, publish curated IoT datasets to Amazon S3 for use by BI tools, data science teams, and enterprise reporting pipelines. This enables operations, engineering, and finance teams to analyze asset performance, downtime patterns, and energy usage from a shared source of truth.
• Distribution of device configuration files and firmware packages
  Data flow: Amazon S3 ? OpenText Internet of Things Platform
  Use Amazon S3 as the repository for firmware images, calibration files, and device configuration templates. OpenText Internet of Things Platform can retrieve approved versions and push them to connected devices, supporting controlled rollouts, version management, and field device standardization.
• Archiving alarm and event evidence for incident review
  Data flow: OpenText Internet of Things Platform ? Amazon S3
  When critical alerts, threshold breaches, or machine failures occur, automatically archive related telemetry snapshots, event logs, and diagnostic attachments in Amazon S3. Maintenance, quality, and compliance teams can then review evidence after incidents without relying on live platform retention windows.
• Sharing IoT reports and operational dashboards across business teams
  Data flow: OpenText Internet of Things Platform ? Amazon S3
  Generate scheduled reports, exception summaries, and operational exports from the IoT platform and store them in Amazon S3 for controlled access by plant managers, logistics planners, and external partners. This simplifies secure distribution of daily performance files and reduces manual email-based reporting.
• Supporting machine learning model training with historical device data
  Data flow: OpenText Internet of Things Platform ? Amazon S3
  Export labeled sensor histories and maintenance outcomes to Amazon S3 so data science teams can train predictive maintenance, anomaly detection, and asset utilization models. The trained models can then be used to improve alerting and decision support in the IoT platform.
• Secure retrieval of reference data for connected operations
  Data flow: Amazon S3 ? OpenText Internet of Things Platform
  Store reference datasets such as asset master files, site hierarchies, threshold tables, and maintenance schedules in Amazon S3. OpenText Internet of Things Platform can ingest these files to enrich incoming telemetry, improving alert accuracy, contextual analytics, and routing of work to the right operational teams.