Documentation

Docs for the actual StackShift platform.

This documentation is organized by workflow and product area. It explains the current control plane, connected-node model, deployment surfaces, recovery behavior, and user-visible areas that are still evolving.

Start Here

Read the platform like it actually works, not like a marketing funnel.

Start with the introduction if you need the product model. Jump into projects, stacks, templates, nodes, databases, operations, domains, billing, team, AI, or settings if you already know the area you need.

Maturity notes matter here. Some surfaces are fully live. Some are live with caveats. Some are user-visible but still evolving. The docs now say that explicitly.

Introduction

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Start with the product model, terminology, and how the control plane actually works today.

Getting Started

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Get from account setup to first workload without learning the entire platform first.

Projects

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Use projects for application-centric deployments from GitHub or Docker images.

Use stacks for Compose workloads, service-style systems, and stateful multi-container apps.

Templates

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Templates are curated stack blueprints with versioning, service notes, and safer lifecycle controls.

Nodes are the runtime hosts attached to StackShift through the agent.

Databases

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Managed databases are first-class resources with their own lifecycle, credentials, and recovery behavior.

Operations

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Use the operations surfaces to understand health, services, alerts, node state, and recovery progress.

Domains & Email

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Use StackShift’s domain and email product surfaces with the right maturity expectations.

Team & Access

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Invite collaborators, manage members, and work with the current team collaboration model.

Billing covers plans, subscription state, usage, transactions, payment methods, and spending controls.

AI Features

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AI features currently center on diagnosis and guided investigation, with clear operator-first expectations.

Settings

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Account, global environment, and notification settings are part of day-to-day platform administration.