> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/13.5-operational/status.md).

# Status and reliability

How to check whether Stratix is healthy, what the platform guarantees, and how to correlate a problem you're seeing with a platform-side event.

## Where to check status

| Signal                     | Where                                      | What it tells you                                                                                                                                    |
| -------------------------- | ------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Platform health probes** | `/health` (liveness), `/ready` (readiness) | Whether the API process is up and its dependencies (database, queue, cache) are reachable — used by the load balancer and Kubernetes probes          |
| **Metrics**                | `/metrics` (Prometheus)                    | Request rates, latencies, queue depth, and worker throughput. The platform ships a Prometheus + Grafana stack; operators on Enterprise can scrape it |
| **System info**            | `/api/v1/system/info`                      | Build/version and environment identity for the API you're talking to                                                                                 |

The `/health`, `/ready`, `/metrics`, and `/api/v1/system/info` paths are **unauthenticated** by design (they back infrastructure probes and scrapers). Every other API path requires auth — see [API authentication](/more-in-this-section-9/auth.md).

## Correlating an issue

Every API response carries a **request ID** in the JSON body (`request_id`) and the `X-Request-ID` response header. When you file a support ticket or read the status page, quote that ID — it lets us trace one request end to end through the gateway, evaluation queue, and workers.

* SDK: the `layerlens` Python client surfaces the request ID on every response object and on raised errors. See [SDK error handling](/more-in-this-section-9/errors-1.md).
* REST: read `X-Request-ID` from the response headers. See [API errors](/more-in-this-section-9/errors.md).

## What counts as "healthy"

Stratix is an **async-first** platform. A submitted evaluation, trace ingest, or judge run returns `202 Accepted` immediately and is processed by a worker; a green `/ready` and a `202` mean the work was durably queued, not that it has finished. Poll the resource (or subscribe to a webhook) for terminal status. See [async vs sync workflow](/6.-build-wire-your-code/async-vs-sync-workflow.md).

## Reliability posture

* **Durability.** Traces, evaluations, judges, and results persist in PostgreSQL; the ingest and evaluation queues are durable. Work survives a worker restart.
* **Rate limits.** The API is rate-limited per org and per key; a `429` is a normal backpressure signal, not an outage. Back off and retry — the SDK does this for you. See [rate limits](/more-in-this-section-9/rate-limits.md) and [retry & backoff](/more-in-this-section-9/retry-backoff.md).
* **Tenant isolation.** One org's load or incident does not affect another — storage is row-level-security scoped and queues are per-tenant. See [multi-tenancy](/7.-observe-see-whats-happening/multi-tenancy.md).

## SLAs by tier

Availability commitments and support-response targets differ by plan. See the [pricing tiers](/3.-pricing/03-pricing.md) — Enterprise includes a contractual uptime SLA and a private status channel.

## When something is wrong

1. Confirm it isn't a `429` (rate limit) or an async job still in flight.
2. Check the platform health probes (`/health`, `/ready`) if you operate the deployment.
3. Capture the `request_id` / `X-Request-ID`.
4. See [troubleshooting](/12.-support/troubleshooting.md) or [contact support](/12.-support/contact.md) with the request ID.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.layerlens.ai/13.5-operational/status.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
