> ## Documentation Index
> Fetch the complete documentation index at: https://docs.budecosystem.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Deployment Settings and Autoscaling

> Configure reliability, rate limits, and SLO-aware scaling inside a project

## Overview

Project deployments support operational controls for reliability and cost efficiency.

## Reliability and Scaling Flow

```mermaid theme={null}
flowchart LR
    A[Open Deployment Settings] --> B[Configure Rate Limits]
    B --> C[Set Retry/Fallback]
    C --> D[Enable Autoscaling]
    D --> E[Monitor Scale Events]
    E --> F[Iterate Using SLOs]
```

## Configure Rate Limiting

In deployment **Settings**:

1. Enable **Rate Limit**.
2. Choose an algorithm (fixed, sliding, or token bucket based on availability).
3. Set request thresholds and burst behavior.
4. Save and verify limits in runtime behavior.

## Configure Retry and Fallback

1. Set retry limits for transient failures.
2. Add fallback deployment targets when available.
3. Save and test with controlled failure scenarios.

## Enable Autoscaling

1. Toggle **Autoscaling** on.
2. Set minimum and maximum replicas.
3. Select trigger metrics (for example queue depth or latency-aligned signals).
4. Configure stabilization windows/policies to avoid rapid oscillation.
5. Save and monitor scale events in analytics/observability.

## Best Practices

<Check>
  Start with conservative max replica values, then scale after observing load.
</Check>

<Check>
  Pair autoscaling thresholds with realistic SLO targets.
</Check>

<Check>
  Use fallback only when secondary deployments are validated.
</Check>

<Check>
  Review settings after model or traffic profile changes.
</Check>