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Platform & Observability — Features

Aerostack isn’t just a development tool; it’s a production-grade operations platform. We provide deep visibility into your edge functions, databases, and core primitives without any manual instrumentation.

Unlike traditional setups where you need to install agents (Datadog, New Relic), Aerostack’s observability is Native. Every request is automatically traced and measured.

Real-time Metrics — Track P50, P95, and P99 latencies across all your endpoints. Monitor request volume and error rates in real-time.

Distributed Tracing — Follow a single request as it hits your API, queries the database, calls an AI model, and returns to the user.


Aerostack aggregates logs from all your edge functions into a single, searchable stream.

  • Real-time Tail: Watch logs live via the Admin Panel or CLI (aerostack logs --tail).
  • Structured Search: Filter by project, environment, user ID, or custom correlation keys.
  • AI-Powered Analysis: Integrated LLMs analyze error spikes and suggest fixes based on your code context.
{
"timestamp": "2024-03-20T10:00:00Z",
"level": "ERROR",
"project": "my-shop",
"trace_id": "8870a9a6",
"message": "Database connection timeout in hook 'beforeSignup'",
"context": {
"db_provider": "postgres",
"region": "FRA"
}
}

The platform automatically identifies and mitigates performance bottlenecks:

  1. Cache Efficiency: Visualizes your hit/miss ratio for sdk.cache calls.
  2. Database Health: Monitors long-running queries and suggests indexes via the AI Assistant.
  3. Cold Start Tracking: Measures the impact of worker isolation and code size on your response times.

Every administrative action and security-sensitive event is logged in your Audit Trail.

  • API Key Usage: Track which keys are being used and from where.
  • Permission Changes: Detailed logs of who changed which project settings.
  • Rate Limit Hits: Visualize where spike traffic is coming from.