PortUnclaimed profile

Agentic engineering platform: map your stack into a Context Lake, then build and govern AI agents and self-service workflows across the SDLC.

Task: Automating WorkflowsUse case: Orchestrate agentic workflows across software development lifecycle with governa

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Official tutorial

Community tutorials

Summarized from 2 community tutorials · July 2026

What you need

Access: Free tier
Runs on: Web app · API · Slack
You’ll need: Port account
GitHub org/repo
Kubernetes cluster
Helm installed
Skill level: Developer — code or a terminal

Worth knowing: No CLI -- you interact only via the web UI or API, and custom data models (blueprints) must be hand-written as JSON, not YAML.

Summarized from 2 community tutorials · July 2026

Highlights

Auto-imports GitHub data into a catalogConnecting GitHub pulls in services (repos), pull requests, workflows, and issues across the org automatically as cataloged entities.
Ingests live Kubernetes state via Helm chartA Helm chart installed in-cluster maps namespaces, deployments, nodes, and pods to Port's data model and keeps entity data live-synced.
Unopinionated custom data models (blueprints)Define your own JSON schema ('blueprints') for any resource type; the web editor validates relations and properties before saving.
Self-service actions trigger external automationActions expose a form-based UI that developers fill in to kick off external pipelines (e.g. GitHub Actions) for tasks like scaffolding a new app.
Real-time entity updates from the clusterCatalog entities (e.g. replica counts) update automatically as the underlying Kubernetes resources change, without manual refresh of data.

Summarized from 2 community tutorials · July 2026