Operational Intelligence Deployment Services for On-Premise and Cloud Environments

Accelerate industrial digital transformation by deploying secure, scalable, and enterprise-ready operational intelligence platforms across your organization.

Deploy Anywhere: On-Premise, Cloud, or Hybrid

PIPER enables organizations to deploy industrial data platforms according to their cybersecurity, scalability, and operational requirements, whether on-premise, in the cloud, or through hybrid architectures.

On Premise

Maximum control, cybersecurity, and infrastructure customization for mission-critical industrial operations.

Benefits

  • Complete infrastructure control
  • High cybersecurity standards
  • Low latency architecture
  • Data sovereignty
  • Enterprise integrations

1. System Requirements

OS: Linux (Ubuntu, CentOS)
Hardware: Minimum 8-core CPU, 32 GB RAM, SSD storage

2. Pre-Installation Steps

Ensure all dependencies are installed (e.g., .NET, Java, Python, Node.js depending on the suite).
Set up firewall rules and network access.
Create service accounts and users.

3. Installation

Run the installer or deploy via Docker/Kubernetes if containerized.
Configure environment variables and connection strings.
Initialize the database schema and seed data.

4. Post-Installation

Test all modules (dashboard, analytics, alerts, etc.).
Set up monitoring tools and logging.
Create backup and recovery routines.

ON PREMISE Installation

deployment timeline

Week 1–2 | Requirements

  • Define infrastructure, interfaces, and prepare the environment.

Week 3 | Installation

  • Deploy the platform on-premise

Week 4 | Integration & Historian

  • Connect data sources and configure the historian.

Week 5–7 | Production Context

  • Configure operational models, KPIs, and validate data.

Week 8 | Visualization

  • Build dashboards, analytics, alerts, and perform final validation (UAT).

Cloud

Scale rapidly, reduce infrastructure costs, and enable secure access to operational data from anywhere.

Benefits

  • Elastic scalability
  • Lower infrastructure costs
  • High availability
  • Remote access
  • Faster deployments

1. Choose Hosting Platform

AWS, Azure, Google Cloud, or private cloud.

2. Provision Resources

Virtual machines, managed databases, storage buckets.
Load balancers and autoscaling groups.

3. Deployment

Use CI/CD pipelines or manual deployment via SSH/remote desktop.
Configure DNS, SSL certificates, and access policies..

4. Integration

Connect to external data sources (IoT, ERP, MES).
Set up API gateways and authentication (OAuth, SSO).

CLOUD Installation

deployment timeline

Week 1 | Cloud Deployment

Deploy and configure PIPER Platform.

Week 2 | Data Integration

Connect and integrate industrial data sources.

Week 3 | Contextualization & Analytics

Build the operational model and generate insights.

Week 4 | Visualization

Create real-time dashboards and operational views.

 

PIPER Cloud

PIPER Cloud

End to End Deployment Methodology

From Industrial Data to Operational Intelligence

1. Industrial Assessment

2. OT/IT Integration

3. Data Infrastructure Deployment

4. Data Contextualization

4. KPI and Dashboard Deployment