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layout default
title Chapter 2: Sandbox Lifecycle, Resources, and Regions
nav_order 2
parent Daytona Tutorial

Chapter 2: Sandbox Lifecycle, Resources, and Regions

Welcome to Chapter 2: Sandbox Lifecycle, Resources, and Regions. In this part of Daytona Tutorial: Secure Sandbox Infrastructure for AI-Generated Code, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.

This chapter explains how Daytona sandboxes transition state and consume organization quotas.

Learning Goals

  • understand sandbox lifecycle states and transitions
  • choose resource sizing defaults versus custom settings
  • plan region and snapshot usage for predictable startup behavior
  • avoid quota waste through lifecycle-aware workflows

Lifecycle Strategy

Use running only for active work, move to stopped for idle periods, and archive or delete when retention policy allows. Pair this with resource sizing and region strategy so high-frequency workloads stay responsive without exhausting quotas.

Source References

Summary

You now understand how to shape sandbox lifecycle and resource policy around real workload behavior.

Next: Chapter 3: Process and Code Execution Patterns

How These Components Connect

flowchart TD
    A[Sandbox Created] --> B{State}
    B -->|Active| C[running]
    B -->|Idle| D[stopped]
    B -->|Done| E[archived/deleted]
    C --> F[Consumes CPU/RAM quota]
    D --> G[Minimal quota use]
    H[Snapshot] --> A
    I[Region selection] --> A
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