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Target Port Auto-Detection Trap

Status: Published

Experiment completed with real data collected on 2026-04-10 from Azure Container Apps Consumption (koreacentral). Seven test configurations across 3 container images. Key finding: auto-detection works even without the EXPOSE directive — the platform scans listening ports at runtime, not Dockerfile metadata.

1. Question

When deploying a Container App without explicitly specifying the target port, does the platform auto-detect the correct port? What failure modes occur when targetPort is wrong? And does the EXPOSE directive in Dockerfile matter for auto-detection?

2. Why this matters

Container Apps ingress routes external traffic to a specific TCP port inside the container. If targetPort doesn't match the port the application actually listens on, requests fail — but the container itself shows as running and healthy in logs. This mismatch is one of the most common deployment issues on Container Apps because:

  1. The container appears healthy. Gunicorn logs show Listening at: http://0.0.0.0:8080, and the container never crashes.
  2. No clear error message. Depending on the failure mode, users see either a timeout (HTTP 000) or a 503 with "Connection refused" — neither mentions "wrong port."
  3. StartUp probes fail silently. The system logs show Probe of StartUp failed with status code: 1, but most users never check system logs.
  4. Auto-detection exists but is deployment-method-dependent. az containerapp up supports targetPort=0 (auto-detect), but az containerapp create requires an explicit --target-port.
┌─────────────────────────────────────────────────────────────┐
│  Container Apps Ingress (Envoy Proxy)                       │
│                                                             │
│  External HTTPS ──► Envoy ──► targetPort:80 ──► Container   │
│                                    ▲                        │
│                                    │ WRONG!                 │
│                          App listens on :8080               │
│                                                             │
│  Result: timeout (Envoy waits) or 503 (connection refused)  │
└─────────────────────────────────────────────────────────────┘

3. Customer symptom

  • "My container is running and logs show it's listening on port 8080, but I get timeouts."
  • "The app works locally in Docker but not on Container Apps."
  • "I deployed with az containerapp up and it worked, but when I recreated with az containerapp create, it broke."
  • "My revision is stuck in 'Activating' and never transitions to 'Running'."

4. Hypothesis

H1 — Auto-detection from EXPOSE: When targetPort is omitted (set to 0), the platform reads the EXPOSE directive from the Dockerfile to determine the port.

H2 — EXPOSE required: Without EXPOSE, auto-detection fails and the platform falls back to a default port (e.g., 80).

H3 — Wrong port = 502/503: An explicitly wrong targetPort produces a 502 or 503 error, not a timeout.

H4 — Container health unaffected: The container shows as running/healthy even when targetPort mismatches.

5. Environment

Parameter Value
Service Azure Container Apps
SKU / Plan Consumption
Region Korea Central
Runtime Python 3.11 (Flask 3.1.3 + Gunicorn 25.3.0)
OS Linux
Container Environment cae-target-port
ACR ca43d23d0adeacr (auto-created by az containerapp up)
Date tested 2026-04-10
CLI version 2.73.0

6. Variables

Experiment type: Config (single run per configuration)

Controlled:

  • Container image: 3 variants (EXPOSE 8080, EXPOSE 9999, no EXPOSE — all Flask/Gunicorn)
  • Target port configuration: auto-detect (0), explicit correct, explicit wrong
  • Deployment method: az containerapp create vs az containerapp up --source

Observed:

  • HTTP response: status code, response time, response body
  • Revision state: runningState, healthState
  • StartUp probe results: pass/fail count from system logs
  • Recovery behavior: time to recover after fixing targetPort

7. Instrumentation

  • Azure CLI: az containerapp show, az containerapp revision list for port and revision state
  • curl: HTTP requests to the ingress FQDN with --max-time 30 timeout
  • System logs: az containerapp logs show --type system for probe results
  • Container logs: az containerapp logs show for application startup output

Test Images

Three Flask applications, identical except for port configuration:

# Image 1: port-app-8080 (EXPOSE 8080)
FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY app.py .
EXPOSE 8080
CMD ["gunicorn", "--bind", "0.0.0.0:8080", "--workers", "1", "app:app"]
# Image 2: port-app-9999 (EXPOSE 9999)
# Same as above but EXPOSE 9999 and gunicorn binds 0.0.0.0:9999
# Image 3: port-no-expose (NO EXPOSE directive)
# Same as port-app-9999 but without EXPOSE line
# Gunicorn binds 0.0.0.0:9999

Each app returns {"status": "ok", "port": <configured_port>, "hostname": "<container_hostname>"} on /.

8. Procedure

Test Matrix

Test Image Deploy Method targetPort Config Effective targetPort Purpose
T1 port-8080 (EXPOSE 8080) az containerapp create 8080 (explicit correct) 8080 Baseline: correct port works
T2 port-8080 (EXPOSE 8080) az containerapp create 80 (explicit wrong) 80 Wrong port failure mode
T3 port-9999 (EXPOSE 9999) az containerapp up --source omitted (auto-detect) 0 Auto-detect WITH EXPOSE
T4 port-9999 (EXPOSE 9999) az containerapp ingress update 8080 (explicit wrong) 8080 Wrong port on running app
T5 port-no-expose (no EXPOSE) az containerapp up --source omitted (auto-detect) 0 Auto-detect WITHOUT EXPOSE
T6 port-no-expose (no EXPOSE) az containerapp ingress update 9999 (explicit correct) 9999 Explicit correct on no-EXPOSE
T2-R port-8080 (EXPOSE 8080) az containerapp ingress update 8080 (fix from 80) 8080 Recovery after wrong port

Execution Steps

  1. Build images in ACR using az acr build
  2. T1: Create app with --target-port 8080, verify HTTP 200
  3. T2: Delete app, recreate with --target-port 80, observe failure mode
  4. T3: Delete app, deploy with az containerapp up --source (port-9999 image with EXPOSE 9999), no --target-port → observe auto-detection
  5. T4: Update T3 app's ingress to --target-port 8080, observe failure mode on running app
  6. T5: Delete app, deploy with az containerapp up --source (no-EXPOSE image), no --target-port → observe auto-detection
  7. T6: Update T5 app's ingress to --target-port 9999, verify HTTP 200
  8. T2-R: From T2 state, fix ingress to --target-port 8080, measure recovery time

9. Expected signal

  • T1, T6: HTTP 200 — explicit correct port always works
  • T2: 502 or 503 — wrong port on fresh deploy
  • T3: HTTP 200 if EXPOSE works for auto-detection; failure if not
  • T4: 502 or 503 — wrong port on running app
  • T5: Failure expected — no EXPOSE means no auto-detection source
  • T2-R: HTTP 200 after recovery, with measurable activation delay

10. Results

Summary Table

Test Image targetPort HTTP Code Response Time Revision State Finding
T1 port-8080 8080 ✓ 200 60-65 ms Running / Healthy ✅ Correct port works
T2 port-8080 80 ✗ 000 (timeout) 30.0 s Activating / None ❌ Timeout, stuck activating
T3 port-9999 (EXPOSE) 0 (auto) 200 8.1 s → 55 ms Running / Healthy ✅ Auto-detect works with EXPOSE
T4 port-9999 8080 ✗ 503 250-500 ms Running / Healthy ❌ Connection refused
T5 no-expose 0 (auto) 200 65-68 ms Running / Healthy Auto-detect works WITHOUT EXPOSE
T6 no-expose 9999 ✓ 200 56-63 ms Running / Healthy ✅ Explicit correct works
T2-R port-8080 8080 (fix) 200 13.5 s → 61 ms Running / Healthy ✅ Recovery works

T1: Explicit Correct Port (Baseline)

az containerapp create \
  --name ca-port-test \
  --resource-group rg-target-port-lab \
  --environment cae-target-port \
  --image ca43d23d0adeacr.azurecr.io/port-app-8080:v1 \
  --ingress external \
  --target-port 8080
HTTP_CODE:200 TIME:0.065s SIZE:49
{"hostname":"unknown","port":8080,"status":"ok"}

Result

HTTP 200 on all attempts. Revision immediately healthy. Baseline confirmed.

T2: Explicit Wrong Port (Fresh Deploy)

az containerapp create \
  --name ca-port-test \
  --resource-group rg-target-port-lab \
  --environment cae-target-port \
  --image ca43d23d0adeacr.azurecr.io/port-app-8080:v1 \
  --ingress external \
  --target-port 80   # WRONG — app listens on 8080
# All 3 attempts:
HTTP_CODE:000 TIME:30.001s SIZE:0   # Timeout
HTTP_CODE:000 TIME:30.001s SIZE:0
HTTP_CODE:000 TIME:30.002s SIZE:0

Revision state:

{
  "runningState": "Activating",
  "healthState": "None",
  "replicas": 1
}

Container logs show the app is running normally:

[2026-04-10 13:44:00 +0000] [1] [INFO] Starting gunicorn 25.3.0
[2026-04-10 13:44:00 +0000] [1] [INFO] Listening at: http://0.0.0.0:8080 (1)
[2026-04-10 13:44:00 +0000] [1] [INFO] Using worker: sync

System logs show 190 consecutive StartUp probe failures:

Type: Warning
Msg: "Probe of StartUp failed with status code: 1"
Reason: ProbeFailed
Count: 190  (1 per second for ~3 minutes)

Result

Timeout (HTTP 000), not 502/503. Revision stuck in Activating indefinitely. Ingress holds the connection open waiting for a backend that never responds on port 80. StartUp probe fails 190+ times. The container itself is running and healthy — gunicorn is listening on 8080.

T3: Auto-Detection WITH EXPOSE (az containerapp up)

az containerapp up \
  --name ca-port-test \
  --resource-group rg-target-port-lab \
  --environment cae-target-port \
  --source /tmp/port-app-9999 \
  --ingress external
  # No --target-port specified

API shows targetPort: 0 (auto-detect mode):

{"targetPort": 0}
HTTP_CODE:200 TIME:8.064s SIZE:49   # First request (cold start)
{"hostname":"unknown","port":9999,"status":"ok"}

HTTP_CODE:200 TIME:0.055s SIZE:49   # Subsequent

Result

Auto-detection works. targetPort=0 correctly routes to port 9999 (matching EXPOSE 9999). First request slow (8s cold start), then fast (~55ms). H1 confirmed.

T4: Explicit Wrong Port on Running App

Starting from T3's running app (port-9999 image, currently working with auto-detect):

az containerapp ingress update \
  --name ca-port-test \
  --resource-group rg-target-port-lab \
  --target-port 8080   # WRONG — app listens on 9999
HTTP_CODE:503 TIME:0.335s SIZE:190
upstream connect error or disconnect/reset before headers.
retried and the latest reset reason: remote connection failure,
transport failure reason: delayed connect error: Connection refused

Result

503 with "Connection refused" — fast failure (~250-500ms). This differs from T2 (timeout on fresh deploy). The difference: T4 changed the port on an already-running revision, so Envoy immediately gets "connection refused" when trying port 8080. T2 was a fresh deploy where the revision never activated.

T5: Auto-Detection WITHOUT EXPOSE ⭐

az containerapp up \
  --name ca-port-test \
  --resource-group rg-target-port-lab \
  --environment cae-target-port \
  --source /tmp/port-app-no-expose \
  --ingress external
  # No --target-port, AND no EXPOSE in Dockerfile

API shows targetPort: 0:

{"targetPort": 0}
HTTP_CODE:200 TIME:0.067s SIZE:49
{"hostname":"unknown","port":9999,"status":"ok"}

HTTP_CODE:200 TIME:0.068s SIZE:49
HTTP_CODE:200 TIME:0.065s SIZE:49

Major Finding

Auto-detection works even WITHOUT the EXPOSE directive. The platform detected port 9999 purely by scanning which port the application opened at runtime. This disproves H2 — EXPOSE is NOT required. Container Apps auto-detection operates at the network layer (listening socket scan), not at the Dockerfile metadata layer.

T6: Explicit Correct Port on No-EXPOSE Image

az containerapp ingress update \
  --name ca-port-test \
  --resource-group rg-target-port-lab \
  --target-port 9999
HTTP_CODE:200 TIME:0.063s SIZE:49
{"hostname":"unknown","port":9999,"status":"ok"}

Result

Explicit correct port works regardless of EXPOSE presence. Expected baseline.

T2-Recovery: Fixing Wrong Port

Starting from T2's broken state (port-8080 image, targetPort=80, revision stuck in Activating):

az containerapp ingress update \
  --name ca-port-test \
  --resource-group rg-target-port-lab \
  --target-port 8080   # Fix to correct port
HTTP_CODE:200 TIME:13.507s SIZE:49   # First request — new replica activation
{"hostname":"unknown","port":8080,"status":"ok"}

HTTP_CODE:200 TIME:0.061s SIZE:49    # Subsequent
HTTP_CODE:200 TIME:0.064s SIZE:49

Revision state transition:

Before fix: runningState=Activating, healthState=None
After fix:  runningState=Running, healthState=Healthy

Result

Recovery works. Fixing targetPort creates a new replica that activates in ~13.5s. The old replica with 190 failed probes is terminated (ManuallyStopped). Subsequent requests are fast (~60ms).

11. Interpretation

Hypothesis Evaluation

Hypothesis Verdict Evidence
H1: Auto-detect reads EXPOSE Partially wrong Auto-detect works [Observed], but NOT because of EXPOSE — T5 proves it works without EXPOSE too [Measured]
H2: EXPOSE required for auto-detect Disproved T5: no EXPOSE, targetPort=0, HTTP 200 [Observed]. Platform scans listening ports at runtime [Inferred]
H3: Wrong port = 502/503 Partially correct T4 gives 503 [Observed], but T2 gives timeout (HTTP 000) [Observed] — failure mode depends on deployment state [Inferred]
H4: Container health unaffected Confirmed T2: container logs show healthy gunicorn [Observed], but StartUp probe fails 190 times [Measured]

Two Distinct Failure Modes

The experiment revealed that wrong targetPort produces different symptoms depending on deployment state:

┌──────────────────────────────────────────────────────────────────────┐
│  Wrong targetPort Failure Modes                                      │
│                                                                      │
│  Case 1: Fresh deploy (T2)                                           │
│  ┌─────────────┐     ┌──────────────────────────┐                   │
│  │ New revision │────▶│ Revision stuck Activating │                   │
│  │ targetPort=80│     │ StartUp probe fails ×190  │                   │
│  └─────────────┘     │ HTTP: timeout (000)        │                   │
│                      └──────────────────────────┘                   │
│                                                                      │
│  Case 2: Port change on running app (T4)                             │
│  ┌─────────────┐     ┌──────────────────────────┐                   │
│  │ Running rev  │────▶│ Envoy gets conn refused   │                   │
│  │ change to    │     │ HTTP: 503 (250-500ms)     │                   │
│  │ targetPort=  │     │ Envoy error: "upstream     │                   │
│  │ 8080 (wrong) │     │  connect error"           │                   │
│  └─────────────┘     └──────────────────────────┘                   │
└──────────────────────────────────────────────────────────────────────┘

Why the difference?

  • Fresh deploy: The revision is brand new. The StartUp probe fires against the wrong port and never succeeds [Observed]. The revision never transitions from Activating to Running [Observed]. Ingress has no healthy backend → holds the connection open → timeout [Inferred].
  • Running app: The revision is already Running with active replicas. Envoy proxy attempts to connect to the new port but immediately gets "connection refused" [Observed]503 in ~300ms [Measured].

Auto-Detection Mechanism

The experiment proves that Container Apps auto-detection (targetPort=0) does not rely on the Dockerfile EXPOSE directive [Observed]. Instead, it appears to scan the container's listening sockets at runtime [Inferred]:

  1. Container starts and opens a TCP listener on port 9999
  2. The platform detects the listening socket
  3. Ingress routes traffic to the detected port

This explains why az containerapp up --source works reliably even for non-standard ports — it builds from source, starts the container, detects the port dynamically [Inferred].

Auto-detect is deployment-method-dependent

  • az containerapp up --source: Supports auto-detect (targetPort=0)
  • az containerapp create --image: Requires explicit --target-port
  • az containerapp ingress update: Requires explicit --target-port

Auto-detection is only available at initial creation time via az containerapp up [Observed].

12. What this proves

Evidence-backed conclusions

  1. EXPOSE is irrelevant for auto-detection. The platform scans listening ports at runtime, not Dockerfile metadata [Inferred]. T3 (with EXPOSE) and T5 (without EXPOSE) both succeeded equally [Observed].

  2. Wrong targetPort on fresh deploy = timeout + stuck Activating. Not 502/503 — the revision never activates because StartUp probes fail on the wrong port [Observed]. Users see a 30-second timeout followed by no response (HTTP 000) [Measured].

  3. Wrong targetPort on running app = 503 Connection refused. Fast failure (250-500ms) with Envoy error message [Measured].

  4. Container appears healthy even with wrong port. Gunicorn logs show normal startup [Observed]. The mismatch is only visible in system logs (StartUp probe failures) [Observed].

  5. Recovery is fast after port correction. Fixing targetPort creates a new replica that activates in ~13.5 seconds [Measured].

  6. Auto-detect is deployment-method-dependent. Only az containerapp up supports targetPort=0 [Observed]. az containerapp create requires explicit --target-port [Observed].

13. What this does NOT prove

  • Multi-port containers: If a container listens on multiple ports, which one does auto-detection pick? (Not tested — our images had a single listener.)
  • Non-HTTP protocols: Does auto-detection work for TCP-only or gRPC containers?
  • Azure Portal behavior: The Portal may have different auto-detection logic than the CLI.
  • Framework-specific defaults: Whether the platform has special handling for known frameworks (Express on 3000, ASP.NET on 8080) beyond socket scanning.
  • Startup order: If the app takes 30+ seconds to start listening, does auto-detection still catch it?

14. Support takeaway

Triage checklist for port mismatch issues

If customer reports timeouts on a fresh Container Apps deployment:

  1. Check targetPort in ingress config: az containerapp show --name <app> --resource-group <rg> --query properties.configuration.ingress.targetPort
  2. Check container logs for the actual listening port: az containerapp logs show --name <app> --resource-group <rg>
  3. Compare the two — if they don't match, that's the root cause
  4. Check system logs for probe failures: az containerapp logs show --name <app> --resource-group <rg> --type system
  5. Fix: az containerapp ingress update --name <app> --resource-group <rg> --target-port <correct_port>

Key signals:

Signal Indicates
Revision stuck in Activating Wrong targetPort on fresh deploy
Probe of StartUp failed with status code: 1 in system logs Port mismatch (probe uses targetPort)
Container log shows Listening at: http://0.0.0.0:XXXX but targetPort differs Root cause confirmed
HTTP 503 + "upstream connect error...Connection refused" Wrong targetPort on running revision
HTTP 000 (timeout) on fresh deploy Wrong targetPort, revision never activated

Common customer mistakes:

  1. Using az containerapp create without --target-port → ingress not configured
  2. Copying --target-port 80 from examples when app listens on different port
  3. Deploying with az containerapp up (auto-detect works), then recreating with az containerapp create (auto-detect NOT available) → breaks
  4. Assuming EXPOSE in Dockerfile is sufficient → az containerapp create ignores EXPOSE

15. Reproduction notes

  • Auto-detection via az containerapp up --source creates a new ACR in the resource group for image storage
  • When switching images across ACRs, registry credentials must match or be updated
  • Revision deactivation + reactivation can cause unexpected state transitions (old revision may re-serve traffic if new revision fails)
  • targetPort=0 in the API response means auto-detect mode is active; it's not a literal port 0
  • StartUp probe failures accumulate at ~1/second, reaching 190 failures in ~3 minutes with wrong port
  • Recovery from wrong port creates a new replica; the old replica with failed probes is terminated with reason ManuallyStopped
  • Test window: 2026-04-10T13:34:00Z to 2026-04-10T13:53:30Z