Naresh Kumar
04/15/2026, 12:16 PMkapa.ai
04/15/2026, 12:19 PMapi/v1/stream_statuses/latest_per_run_state endpoint specifically taking too long.
However, based on related issues in the knowledge sources, slow API responses in self-hosted Airbyte instances have been linked to a few general causes:
• Resource constraints: High memory/CPU usage on the host machine can cause API timeouts and slow responses. Checking docker stats to monitor container resource usage is a recommended first step. [Long loading time]
• Memory leaks in server/worker containers: There have been known issues with memory leaks in Airbyte's logging system causing slowness. Restarting the airbyte-server and airbyte-worker containers has been suggested as a workaround, along with upgrading to the latest version. [Long loading time]
• Large number of connections/syncs: Running many connections (e.g., 30+ syncing hourly) can put significant load on the backend APIs. [Long loading time]
Suggested steps:
1. Check your container resource usage (docker stats or equivalent for Kubernetes).
2. Restart the airbyte-server and airbyte-worker containers.
3. Ensure you are on the latest version of Airbyte.
If the issue persists, I'd recommend opening a GitHub issue at https://github.com/airbytehq/airbyte/issues with your Airbyte version, deployment method, and relevant logs for more targeted support. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.