GitHub user dosubot[bot] added a comment to the discussion: How can I integrate 
Superset charts with PlayWright to ensure that all charts and data on the page 
are fully rendered and there are no unexpected errors before taking a 
screenshot?

<!-- Answer -->
To address 502 Bad Gateway errors in Superset caused by high server load, 
network issues, or timeouts, focus on these areas:

**1. Increase timeouts and enable retries:**  
- In `superset_config.py`, raise `SUPERSET_WEBSERVER_TIMEOUT` (e.g., to 300 
seconds), `SQLLAB_TIMEOUT`, and `SQLLAB_ASYNC_TIME_LIMIT_SEC` for long queries. 
 
- For screenshot automation, set `SCREENSHOT_LOCATE_WAIT` and 
`SCREENSHOT_LOAD_WAIT` to higher values (e.g., 120–600 seconds) to give charts 
more time to render before timing out [[example 
config](https://github.com/apache/superset/issues/5993#issuecomment-3284091878)].
- Enable and tune Superset's HTTP retry logic for transient 502/503/504 errors:
  ```python
  SUPERSET_CLIENT_RETRY_ATTEMPTS = 3
  SUPERSET_CLIENT_RETRY_DELAY = 1000  # ms
  SUPERSET_CLIENT_RETRY_BACKOFF_MULTIPLIER = 2
  SUPERSET_CLIENT_RETRY_MAX_DELAY = 10000  # ms
  SUPERSET_CLIENT_RETRY_JITTER_MAX = 1000  # ms
  SUPERSET_CLIENT_RETRY_STATUS_CODES = [502, 503, 504]
  ```
  This helps Superset automatically retry failed chart data requests with 
exponential backoff and jitter 
[[details](https://github.com/apache/superset/pull/34290)].

**2. Tune your proxy and web server:**  
- In Nginx, increase `proxy_read_timeout`, `proxy_connect_timeout`, and 
`proxy_send_timeout` to be higher than your Superset/Gunicorn timeouts to avoid 
premature 502/504 errors 
[[discussion](https://github.com/apache/superset/discussions/31743#discussioncomment-11767901)].
- For Gunicorn, increase the keepalive setting to handle more concurrent users 
and avoid ECONNRESET errors that can manifest as 502s 
[[discussion](https://github.com/apache/superset/discussions/33373)].

**3. Scale and monitor resources:**  
- Make sure your Superset server and database have enough CPU and RAM. 8GB RAM 
and 2vCPUs is a baseline for moderate use, but usage spikes (e.g., many users 
loading dashboards at once) may require more 
[[faq](https://github.com/apache/superset/blob/master/docs/docs/faq.mdx)].
- Monitor server, database, and network health. Look for slow queries, high 
CPU/memory usage, or network bottlenecks.

**4. Optimize queries and database performance:**  
- Slow or complex queries are a common cause of timeouts and 502 errors. 
Optimize your dashboards and underlying SQL, and consider using a more 
performant database engine if needed 
[[faq](https://github.com/apache/superset/blob/master/docs/docs/faq.mdx)].

**5. Use asynchronous query execution:**  
- Enable async queries in Superset (via Celery) to allow long-running queries 
to complete without blocking the web server, reducing the risk of timeouts and 
502 errors [[async 
config](https://github.com/apache/superset/blob/master/docs/docs/configuration/async-queries-celery.mdx)].

**6. Troubleshoot persistent errors:**  
- Check Superset, database, and proxy logs for errors or timeouts.
- Verify network connectivity between Superset, the database, and any proxies.
- If using Docker/Kubernetes, ensure the worker containers have access to the 
Superset instance and required headless browsers for screenshots.

These steps should help reduce the frequency of 502 errors and improve the 
reliability of chart rendering and screenshot automation in Superset.


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work%20health.%20Look%20for%20slow%20queries%2C%20high%20CPU/memory%20usage%2C%20or%20network%20bottlenecks.%0A%0A%2A%2A4.%20Optimize%20queries%20and%20database%20performance%3A%2A%2A%20%20%0A-%20Slow%20or%20complex%20queries%20are%20a%20common%20cause%20of%20timeouts%20and%20502%20errors.%20Optimize%20your%20dashboards%20and%20underlying%20SQL%2C%20and%20consider%20using%20a%20more%20performant%20database%20engine%20if%20needed%20%5B%5Bfaq%5D%28https%3A//github.com/apache/superset/blob/master/docs/docs/faq.mdx%29%5D.%0A%0A%2A%2A5.%20Use%20asynchronous%20query%20execution%3A%2A%2A%20%20%0A-%20Enable%20async%20queries%20in%20Superset%20%28via%20Celery%29%20to%20allow%20long-running%20queries%20to%20complete%20without%20blocking%20the%20web%20server%2C%20reducing%20the%20risk%20of%20timeouts%20and%20502%20errors%20%5B%5Basync%20config%5D%28https%3A//github.com/apache/superset/blob/master/docs/docs/configuration/async-queries-celery.mdx%29%5D.%0A%0A%2A%2A6.%20Troubleshoot%20persistent%
 
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GitHub link: 
https://github.com/apache/superset/discussions/36845#discussioncomment-15349764

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