Introduction

Redis failover often changes which node accepts writes. Applications that cache the old node address, reconnect to a replica, or ignore Sentinel and cluster discovery can continue sending writes to a read-only replica long after failover completed.

Symptoms

  • Applications log READONLY You can't write against a read only replica
  • Read traffic still works, but writes start failing after a failover or maintenance event
  • Restarting the app sometimes fixes the issue temporarily
  • Different app instances behave differently depending on when they reconnected

Common Causes

  • The application uses a replica endpoint instead of the primary endpoint
  • Sentinel or cluster discovery is misconfigured or disabled
  • DNS or connection pools keep stale addresses after failover
  • A managed Redis service promoted a new primary but the client never refreshed topology

Step-by-Step Fix

  1. 1.Identify which node the application is writing to
  2. 2.Check the connected host and confirm whether that node is primary or replica.
bash
redis-cli -h redis-replica.example.internal -p 6379 INFO replication
  1. 1.Verify the client points to the correct write endpoint
  2. 2.Managed services and Sentinel setups usually expose a dedicated primary endpoint or discovery path for writes.
bash
nslookup redis-primary.example.internal
nslookup redis-replica.example.internal
  1. 1.Clear stale pools or reconnect with topology discovery
  2. 2.A correct endpoint still fails if long-lived pools keep old replica connections alive.
bash
redis-cli -h redis-primary.example.internal SET healthcheck ok
  1. 1.Retest writes after forcing the client to refresh
  2. 2.Restart the app or reset the client pool if needed, then verify writes succeed on the current primary.
bash
redis-cli -h redis-primary.example.internal INFO replication

Prevention

  • Use the managed primary endpoint, Sentinel, or cluster discovery instead of pinning one node
  • Keep DNS TTL and client topology refresh settings appropriate for failover
  • Exercise failover in staging and confirm the app reconnects to the new primary
  • Monitor write errors separately from read availability during Redis maintenance

Verification

After applying the fix, verify the exact symptom that made the incident visible instead of relying on one green log line. Re-run the command, request, deployment, or browser path that failed before the change and capture the new output for the incident record.

  • Confirm the original error message no longer appears in application, platform, or edge logs.
  • Check the affected dependency path from the client side and from the server side when both are available.
  • Watch the next scheduled job, deploy, cache refresh, or certificate renewal cycle so the fix survives the normal operating path.
  • Record the final configuration value, command output, and timestamp in the runbook for Redis READONLY Write Error After Failover Because the App Still Uses the Wrong Endpoint.

Rollback

If the fix changes routing, credentials, certificates, state, cache behavior, or runtime configuration, keep a rollback path ready before applying it to production. Save the previous configuration, identify the owner of the affected service, and define the signal that will trigger rollback.

  1. 1.Restore the last known-good configuration or state reference if validation shows a wider blast radius.
  2. 2.Re-run the same diagnostic checks from the fix section to confirm the rollback returned the system to the previous behavior.
  3. 3.Leave a short note explaining why the attempted fix was reverted so the next responder does not repeat the same change.

Operational Notes

Use this guide as an incident workflow, not as a blind checklist. The safest order is to collect the current state, confirm the narrowest failing component, apply one focused change, and then re-test the same path that failed. Avoid combining unrelated fixes during Redis READONLY Write Error After Failover Because the App Still Uses the Wrong Endpoint; otherwise the team will not know which change restored service or which change caused a later regression.

For production systems, capture command output before and after each change. Include timestamps, hostnames, environment names, account IDs, namespaces, certificate names, or configuration keys when they are relevant. These details make the guide useful during a future incident and help separate a real recurrence from a similar-looking but unrelated failure.

Escalate when the failing path crosses a boundary your team does not own, such as a managed cloud control plane, identity provider, external DNS service, payment gateway, or shared network appliance. Share the exact failing request, correlation ID, command output, and change window with the owning team. Keep customer-facing mitigation separate from root-cause repair: it is often safer to route around the broken dependency first, then schedule the permanent cleanup after traffic is stable.

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