Identify the first dependency that becomes unavailable before the app exits, rather than treating every restarting container as the root cause.
In a Docker Compose stack, the visible application may loop because a database is still starting, Redis is unreachable, DNS returns the wrong service, a bind mount is missing, a secret changed, a migration failed, or the app is killed by memory pressure. The fastest diagnosis captures the first exit and dependency error, pauses automatic restarts, then tests each required service from the same network and credentials the failing container uses.
Find the First Container That Fails, Not the Loudest One
List restart counts, current state, health state, last exit code, and start time for every service in the stack. Sort the timeline so the earliest failure appears before secondary containers begin reconnecting or restarting.
Netdata’s restart-loop guide shows how exit codes and states distinguish OOM kills, segmentation faults, graceful termination, and health-related stops. An OOMKilled or exit-code signal can eliminate dependency troubleshooting when the app is actually running out of memory or crashing internally.
If one dependency fails first, investigate it before the application. If the app exits first with connection-refused, timeout, authentication, or missing-file errors, map that message to the exact dependency it tried to use.
Pause the Restart Storm and Capture One Clean Failure
Temporarily disable or override the restart policy for the affected service and run it once in the foreground or inspect its complete logs from one start attempt. Preserve timestamps from the Docker daemon and every dependency.
Repeated automatic restarts can overwrite the first meaningful error with later connection failures. A container that restarts every few seconds may also overload its database, DNS resolver, or log volume and create secondary symptoms.
Do not delete containers, volumes, or databases during this capture. Stop only the restart storm, reproduce once, and save the environment, mounts, network attachments, command, and exit state before changing configuration.
Map Every Dependency the Container Needs to Become Ready
Write down the app’s required database, cache, message queue, object store, DNS resolver, identity provider, mounted files, secrets, and external APIs. Include the expected service name, port, protocol, username, database, and path.
Dash0 explains that Compose startup ordering does not automatically mean the process inside a dependency is ready; an app can start while Postgres is still initializing. The fix is to wait for a dependency’s healthy state rather than merely its running state.
Mark dependencies as hard or optional. A missing optional metrics service should not restart the main app, while an unavailable database may require a controlled wait, retry, or stop.
Test Each Dependency From the Failing Container Network
Use a temporary diagnostic container attached to the same network, or run a supported shell before the app exits. Test service-name DNS, TCP port, TLS, authentication, database query, and required path in that order.
Last9’s Compose health-check guide notes that readiness checks prevent dependent services from starting until critical components can actually respond. A useful check validates the service operation clients require rather than only confirming that a process exists.
If DNS fails, inspect network membership and aliases. If TCP opens but authentication fails, compare secrets and users. If login works but the expected schema, bucket, queue, or directory is absent, repair initialization rather than the network.
Check Mounts, Secrets, and Migrations as Dependencies
Compare the current bind mounts, named volumes, permissions, ownership, environment files, secret files, and application version with the last working deployment. A container can reach its database yet restart because a config file is read-only or a migration cannot write.
A container-startup case study shows that health-based dependency order can prevent an application from crashing before its database is ready. The conditional startup sequence becomes especially important during first boot and migrations.
Run migrations once with logs visible and back up the database before retrying destructive steps. If the app version changed, verify that the dependency version and schema upgrade path are supported.
Re-enable Services in Dependency Order and Validate Stability
Start the lowest-level dependency first, wait for its real health check, then start the next layer and finally the application. Record restart counts and health transitions through several check intervals.
The ZimaSpace guide to container-side DNS failures covers one dependency path that can appear only inside the app environment.
The issue is fixed only when the application starts once, all hard dependencies remain healthy, migrations complete, and a deliberate dependency restart triggers controlled retry or recovery instead of another loop. Restore a restart policy only after the root failure is observable and bounded.
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