Traceloop offers two deployment models tailored to meet diverse customer needs while maintaining robust support for generative AI application workflows.

Need help with self-hosting? Schedule a meeting with our team, and we’ll guide you through the process.

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Deployment Options

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Hybrid Deployment

Perfect for organizations seeking to:

  • Maintain control over data storage while outsourcing compute
  • Minimize operational overhead
  • Comply with data residency requirements
  • Leverage Traceloop’s managed services for processing and monitoring

Key Components:

  • Processing Pipelines: Managed by Traceloop
  • Dashboard: Hosted and managed by Traceloop
  • Data Storage: Remains entirely on your infrastructure
  • Metadata Storage: Managed by Traceloop
  • Monitoring Models: Managed by Traceloop

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Full Platform Self-Hosting

Ideal for organizations requiring:

  • Complete control over all components
  • Air-gapped environments
  • Maximum security and compliance
  • Custom infrastructure requirements

Key Components:

  • Processing Pipelines: On your infrastructure
  • Dashboard: Hosted by Traceloop
  • Data Storage: Fully within your infrastructure
  • Metadata Storage: Fully within your infrastructure
  • Monitoring Models: Fully within your infrastructure

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Comparison

FeatureHybrid DeploymentFull Platform
Processing PipelinesTraceloop-managedCustomer-managed
DashboardTraceloop-hostedTraceloop-hosted
Data StorageCustomer infrastructureCustomer infrastructure
Metadata StorageTraceloop-managedCustomer-managed
Monitoring ModelsTraceloop-managedCustomer-managed
Data in MotionHandled by TraceloopHandled entirely by customer
SecurityShared responsibilityFully customer-controlled
Deployment ComplexityLowerHigher

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Next Steps

Choose your deployment model:

Need assistance? We’re here to help: - Schedule a support call

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