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sevvo runs as a hybrid control plane / data plane system. The control plane lives in our environment and holds pipeline definitions, schedules, and run metadata. A data-plane agent deployed into your environment handles credentials, extraction, canonical transformation, and storage — all inside your perimeter. The short version: you manage pipelines in our UI; your data never leaves your network.

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Where to start

  • Quickstart — provision an agent, connect a Postgres source, and preview rows in under 15 minutes.
  • Deploying the agent — Docker and Kubernetes recipes, env var reference, upgrade model.
  • Connecting Postgres — field reference, SSL modes, least-privilege user setup.

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If you’re evaluating sevvo

  • Architecture — how the control plane and data plane fit together, the workflow-versioning contract, and where the code lives.
  • Security — what sevvo sees and what stays in your perimeter, the credential storage model, and the preview-query exception.