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Trace a tenant-specific upload failure by following one authenticated request from the gateway through the application to storage. Join gateway, application, and storage evidence with the request or trace ID; use a validated, pseudonymous tenant key to filter the trail. A status code narrows the search, but it does not identify the failing component on its own.
How do I trace a file upload failure for one tenant?
Start with one failed request and establish a reliable correlation record. Use the tenant or account identity derived from authenticated application context—not an unverified client-supplied header—to label the request.
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- Record the request details: timestamp with timezone, route and HTTP method, response status, request or correlation ID, and a stable pseudonymous tenant key. Include file size and content type if available.
- Follow trace context across each service boundary: check that each hop extracts and forwards trace context so downstream spans join the same trace. OpenTelemetry context propagation is designed for this cross-service continuity.
- Join logs to the trace: verify that logs include TraceId and SpanId where supported. OpenTelemetry’s logging specification describes using these fields and resource context to correlate logs with traces.
- Add tenant context only where needed: OpenTelemetry Baggage can carry a minimal internal tenant key across services, but baggage is not automatically a span attribute. Copy it into telemetry deliberately if you need to filter spans by tenant.
- Inspect the gateway and WAF records: search by timestamp, request ID, route, status, and tenant key where available. Determine whether the gateway rejected the request and whether it was forwarded to the backend.
- Check application and storage evidence: search each downstream system with the same trace or request context. If storage received the operation, retain its request ID as well.
Do not assume that a missing application log means the gateway never received the request. AWS notes that HTTP API monitoring may not produce logs or metrics for some errors, including some 413 responses.
How can I carry tenant context without leaking sensitive data?
Tenant context is useful for finding the affected request, but it must come from a trusted identity decision. Validate the tenant against authentication and authorization before assigning it to telemetry; do not let an arbitrary header select which tenant’s records are queried or labeled.
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- Prefer a stable pseudonymous tenant key over a tenant name, email address, credential, or other unnecessary personal data.
- Keep baggage minimal. OpenTelemetry documents that baggage travels in HTTP headers and may reach third-party or otherwise unintended services.
- Control where baggage is forwarded, especially on outbound calls to external services.
- Do not put secrets, access tokens, credentials, or unnecessary personal information in baggage.
- Keep access to cross-tenant telemetry restricted; use tenant filters for operations without exposing another tenant’s data to the affected customer.
Trace context provides the causal path; tenant context helps select the relevant path. They serve different purposes, and neither makes an untrusted tenant identifier safe.
Did the gateway reject the upload, or did the backend fail?
Use evidence from each hop rather than treating the client-visible status as a verdict. Compare the gateway access/error record, WAF decision, backend request record, and storage operation using matching timestamps and identifiers. If the request reached the backend, investigate the application and storage spans; if it did not, inspect gateway routing, policy, size, and enforcement configuration.
Interpret errors in product context. AWS API Gateway materials associate throttling with 429 and integration timeout with 504 in relevant scenarios. Microsoft’s Application Gateway support documentation, dated 2026-08-31, describes a frontend 408 condition after 60 seconds without a client response. These are product-specific behaviors, not universal meanings or limits. Per-hop duration, backend health, and matching request evidence are needed to locate the failure.
For Azure Storage, Microsoft troubleshooting documentation says each request includes an opaque unique x-ms-request-id. Retain it with the approximate time, storage service, and operation if the failure persists or needs escalation.
Why does the upload fail only for large files?
A 413 is a size-boundary clue. Check the effective limit at every hop—gateway, WAF, application or server, and storage—and distinguish total request-body size from the uploaded file’s size. A multipart request includes framing and other fields in addition to file bytes, so those measurements need not match.
| Documented behavior | Value or condition | What to verify |
|---|---|---|
Amazon API Gateway default REQUEST_TOO_LARGE response |
10 MiB (10,485,760 bytes) when no response is specified, according to AWS gateway-response documentation. | Confirm the API type, deployed configuration, and whether this default is the response being returned. |
| AWS HTTP API backend-payload quota | A separate AWS re:Post troubleshooting article describes a 10 MB maximum backend payload quota. | Do not conflate this quota with the gateway-response default or generalize it to every API Gateway type; check the current quota for the deployed API. |
| Azure Application Gateway WAF request-body setting | Microsoft Support documentation dated 2026-08-31 gives a 128 KB default request-body size setting and says it excludes file uploads. | Check the deployed setting, WAF mode, ruleset version, and policy. This is a configuration default, not a universal upload limit. |
| Azure Application Gateway WAF file-upload limit | Separate from the general request-body setting; the cited Microsoft guidance does not establish one universal deployed value. | Check the actual file-upload control and request form. Only multipart/form-data containing a file part with a filename is treated as a file upload for this control. |
For Azure Application Gateway WAF, content type and multipart filename handling affect which limit applies. Microsoft documents that other content types are subject to the request-body limit. In prevention mode, oversized requests or uploads are blocked; in detection mode, inspection and logging behavior differ. Ruleset version and custom-rule priority can also change the result. Confirm the deployed configuration before increasing a limit.
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- Reduce complexity and get the business running without relying on IT personnel with easy onboarding using SonicExpress App and Zero-Touch Deployment, and easy management through a single pane of glass
- Drive business growth by investing in next-gen appliances with multi-gigabit and advanced security features, to future-proof against the changing network and security landscape.
- SonicWall 8x5 Support provides chat, email, web, and telephone support for technical assistance | Dynamic Support is designed for customers who need continued protection through ongoing firmware updates and advanced technical support
- Hardware: Operating system: SonicOS 7.0 | Interfaces: 8x1GbE, 2 USB 3.0, 1 Console | Management: Network Security Manager, CLI, SSH, Web UI, GMS, REST APIs | VLAN Interfaces: 64 | Access points supported (maximum): 20
When comparing a failed upload with a successful one, hold the route and other conditions as constant as possible. Check file size, content type, multipart boundary and filename handling, authorization result, tenant rate or quota state, gateway route and backend, and storage operation. A pattern tied to one tenant may point to tenant-level configuration or usage, but it does not by itself prove which component imposed the boundary.
What should I collect before escalating a storage failure?
If trace evidence shows that storage received the request, keep the storage service’s own request ID alongside the cross-service trace or correlation ID. For Azure Storage, retain the opaque x-ms-request-id with the approximate time, service, and operation. These identifiers help distinguish a storage-side failure from an upstream rejection when the request is investigated.
For an escalation, include only the information needed to reproduce and locate the operation: timestamp with timezone, route and method, status, relevant request IDs, pseudonymous tenant key, file size and content type, and the per-hop result. Avoid attaching credentials, file contents, or another tenant’s telemetry unless a secure support process specifically requires it.
How should I compare gateway and WAF behavior?
Before changing configuration, compare the controls that can decide whether an upload is accepted, logged, or forwarded. Product defaults vary by API type, SKU, ruleset, and deployment, so verify the values and behavior in the environment handling the failing request.
- Total request-body limits and separate file-upload limits.
- Which content types and multipart forms count as file uploads.
- Detection versus prevention behavior and the resulting logs.
- Whether the product records every error class in ordinary logs and metrics.
- Timeout and throttling behavior at the client, gateway, integration, application, and storage hops.
- Visibility into backend health and per-hop latency.
- Support for trace-context propagation and safe, controlled tenant metadata.
The AWS and Microsoft examples above document specific product behaviors; they do not establish an overall vendor ranking or a universal gateway limit.
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