Need some help troubleshooting…
You need to decouple the screen recording ingestion pipeline from the high-frequency state changes triggered by shift swaps. When agents swap shifts in bulk during peak hours, the underlying database experiences a spike in write operations for user status updates. If the screen recording service tries to index or tag these recordings simultaneously with the status change, you hit a contention bottleneck that results in HTTP 500 errors.
The fix involves implementing a staggered retry mechanism with exponential backoff on the client side, or better yet, routing these requests through a message queue like RabbitMQ or Kafka to buffer the load. Here is a sample configuration for a retry policy in a standard HTTP client wrapper:
{
"retryPolicy": {
"maxRetries": 3,
"initialBackoffMs": 1000,
"maxBackoffMs": 5000,
"retryOnStatusCodes": [500, 503, 429]
}
}
Additionally, ensure that your API calls are not synchronously blocking the UI thread during the swap confirmation. Use asynchronous callbacks to confirm the swap first, then trigger the recording metadata update in the background. This prevents the UI from hanging and reduces the immediate load on the server.
Also, check if you are hitting the rate limits for the specific tenant. The documentation suggests that screen recording APIs have stricter quotas during peak operational hours to preserve system stability. If you are seeing this consistently on Fridays, it correlates with our schedule publish cycle, which also triggers a high volume of API calls.
- API rate limiting thresholds
- Asynchronous processing patterns
- Database write contention
- Message queue buffering
- Exponential backoff strategies