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Deployment

Transpara is designed to be deployed flexibly—on-premise, in the cloud, or in hybrid environments—using container-based technologies that support scalability, modularity, and high availability. This page explains supported deployment models, configuration strategies, and system architecture.

Containerized infrastructure

Transpara is packaged using Docker containers and orchestrated through Kubernetes, enabling modular deployment across any infrastructure.

Benefits:

  • Scalable: Add or remove components based on load and data volume.
  • High availability: Redundant instances and failover support.
  • Modular: Deploy only the components you need (e.g., tCalc, tView, tStudio).
  • Environment agnostic: Compatible with bare metal, VMs, or managed Kubernetes services.

Components typically containerized:

  • tStore
  • tCalc
  • tDataGateway
  • tModel (via tGraph)
  • tStudio, tView
  • tEventBroker
  • tAuth
  • Monitoring tools

📌 Diagram placement

Figure: Example Kubernetes-based deployment architecture
(Insert a diagram from the April 2025 deck or V6 Architecture document showing container layout and service mesh)

On-premise vs cloud deployment

Transpara supports multiple deployment environments. You can host it in:

On-premise

  • Full control over security and data governance
  • Ideal for regulated industries (e.g., pharma, energy)
  • Integration with local systems like SCADA, DCS, or PI

Cloud (AWS, Azure, GCP)

  • Elastic infrastructure scaling
  • Easy integration with cloud-native services
  • Managed Kubernetes and container services support (e.g., EKS, AKS, GKE)

Hybrid

  • Combine cloud compute with on-prem data storage
  • Use the Bridge Release model to extend legacy systems gradually

Bridge release model

The Bridge Release strategy allows for gradual migration from legacy systems to Transpara. You can run Transpara in parallel with existing tools (e.g., traditional historians, Excel-based workflows) without full replacement.

This approach supports:

  • Side-by-side evaluation and rollout
  • Continuous syncing of metadata and data streams
  • Progressive onboarding of teams and departments
  • Minimal risk of disruption

Security and system health

Transpara includes built-in security, authentication, and monitoring capabilities to ensure robust system operation.

Authentication (tAuth)

  • Supports LDAP, Active Directory, OpenID, OAuth 2.0, and SAML 2.0
  • Centralized user management
  • Role-based access control for modules and views

Monitoring

  • Health status dashboards within tStudio
  • Logging and alerting per service container
  • Integration with third-party tools (e.g., Prometheus, Grafana)

Summary

Deployment FeatureDetails
Core platformDocker + Kubernetes
Cloud supportAWS, Azure, GCP, hybrid models
Bridge releaseRun in parallel with legacy tools
SecurityEnterprise SSO, RBAC, centralized auth via tAuth
System healthBuilt-in and external monitoring options
Infrastructure optionsFully modular, scalable, and high-availability compatible

Next steps

Explore how to model your system in tStudio, or return to the Overview to revisit the platform’s architecture and goals.