Google Cloud and Fogwing
Google Cloud Storage and Fogwing Integration
Contents
Google Cloud and Fogwing Integration Service
To begin your integration project, contact the Fogwing Professional Services Team to rapidly achieve it.
Contact UsOverview
Integrating Google Cloud (GCP) with Fogwing enables organizations to securely preserve, analyze, and utilize operational data for deeper business insights.
This integration allows the consumption data from Fogwing — including Machine IoT Data, Metering, work orders, asset performance logs, maintenance history, and inventory records — to be automatically pushed from Fogwing to Google Cloud Storage for long-term data retention and advanced analytics.
By centralizing data in GCS, businesses can easily integrate with data visualization tools like Looker Studio, Power BI, or custom dashboards, and even leverage Google Cloud AI or BigQuery for predictive analytics and decision intelligence.
This setup empowers organizations to move beyond adopting data-driven strategies for continuous improvement, reliability analysis, and operational optimization.
Requirements
To successfully integrate Fogwing CMMS with Google Cloud Storage, ensure the following:
Active Fogwing Enterprise subscription with API access.
Google Cloud Platform (GCP) account with access to Cloud Storage.
Service account credentials or API keys for secure connection.
Designated storage bucket(s) created in GCS for data ingestion.
Optional: Access to Google BigQuery or other GCP data intelligence tools for analytics integration.
How to integrate Google Cloud and Fogwing?
Fogwing CMMS provides an API-based data export capability that can securely transmit operational data to Google Cloud Storage in real time or at scheduled intervals. The Fogwing Professional Services team can assist with data mapping, pipeline setup, and automation configuration to ensure seamless integration with your GCP environment.
Integration Steps:
Assessment & Planning: Define which data sets (e.g., work orders, maintenance logs, or asset health data) should be exported from Fogwing Applications.
Data Mapping: The Fogwing Professional Services team collaborates with your data engineering team to map Fogwing data structures to GCS storage formats such as JSON, CSV, or Parquet.
Integration Setup: Configure Fogwing API endpoints to push data to your GCS bucket using secure authentication.
Automation Scheduling: Set up automated data exports at desired intervals (daily, weekly, or event-triggered).
Validation & Monitoring: Validate data accuracy and ensure data pipelines are reliable and scalable.
To start your integration, contact the Fogwing Professional Services team at support (at) fogwing.com for expert assistance in configuring and optimizing your GCS integration.
Benefits
The integration of Google Cloud Storage with Fogwing Applications enables organizations to take control of their operational data for long-term preservation, compliance, and business intelligence.
By automatically pushing Fogwing data into GCS, you create a unified data repository that supports scalable analytics and visualization across tools like BigQuery and Looker Studio.
This integration enhances data accessibility, allowing teams to generate insights on maintenance performance, asset reliability, and cost trends.
It also ensures data durability and security, meeting enterprise standards for compliance and archival needs.
Overall, it bridges maintenance management with enterprise analytics, helping organizations make smarter, data-backed decisions for continuous operational excellence.
About Google Cloud
Google Cloud Platform (GCP) provides a wide range of services, including high-performance computing, cloud data storage, intelligent data analytics, machine learning services, and networking, which businesses can use to build, test, and run their applications
FAQS
You can export operational data such as machine IoT data, Asset Metering, Maintenance work orders, parts inventory, assets data, visual images, audio, and video files.
Operational data can be stored in JSON or CSV formats, depending on the type of data and storage preferences.
Yes. The integration uses encrypted API communication, secured GCP service accounts, and authentication protocols to ensure data protection.
Other Integrations
Integrate Fogwing operational data with Azure Blob Storage for secure storage, analytics, dashboards, and intelligent insights.
Connect Fogwing operational data with AWS Cloud Storage for secure preservation, analytics, dashboards, and actionable insights.
Integrate Fogwing with SAP R3/HANA to automate maintenance data, streamline workflows, and boost operational efficiency.