We’re experiencing significant delays with contract amendment records syncing to our RDS database. Amendments made in CloudSuite take 15-30 minutes to appear in downstream reporting systems, which violates our 5-minute SLA for contract visibility.
Our ION Adapter is polling every 60 seconds, and database connection pool shows 20 active connections out of 50 maximum. RDS monitoring shows CPU at 45% during peak times. Transaction logs indicate the amendments are being written to the source system immediately, but the replication lag is inconsistent.
SELECT amendment_id, created_date, sync_date,
TIMESTAMPDIFF(MINUTE, created_date, sync_date) as lag_minutes
FROM contract_amendments
WHERE lag_minutes > 5;
Has anyone optimized ION polling intervals or connection pool settings to reduce this replication lag?
Good point about the indexes. Also check if your RDS parameter group has optimized settings for replication workloads. We adjusted innodb_flush_log_at_trx_commit from 1 to 2 for our non-critical replication database, which improved write throughput significantly. Just make sure you understand the durability trade-offs before making that change in production.
I’ve seen similar issues with ION polling. The default 60-second interval can create batching delays when combined with network latency. Check your ION connection point settings - sometimes the batch size is set too high, causing the adapter to wait for more records before processing. Also verify your RDS instance isn’t experiencing I/O throttling during those peak times.
Connection pool optimization made a huge difference for us. We increased maxActive from 50 to 100 and reduced maxWait from default to 30 seconds. The key was monitoring actual connection usage patterns - we found that during amendment processing, connections were being held longer than expected. Also check if your ION messages are being queued due to insufficient processing threads on the receiving end.
Let me address all the key optimization areas systematically:
ION Polling Interval Tuning: Reduce your polling interval from 60 to 30 seconds, but more importantly, implement event-driven processing. Configure ION to use database triggers that notify the adapter immediately when amendments are created, rather than relying solely on polling. This eliminates the worst-case 60-second delay.
Database Connection Pool Optimization: Your current 20/50 utilization seems low, but the issue is likely connection lifecycle management. Implement these settings:
maxActive=75
minIdle=25
maxWait=20000
testOnBorrow=true
validationQuery=SELECT 1
This ensures connections are validated before use and maintains a ready pool during peak loads.
RDS Instance Monitoring: Your 45% CPU with 3000 read IOPS suggests you need to scale your RDS instance or implement read replicas. Create a dedicated read replica for ION adapter queries to separate replication reads from production workload. Enable Enhanced Monitoring with 1-second granularity to catch transient bottlenecks.
Transaction Log Analysis: Query your RDS transaction logs to identify long-running transactions that might be blocking replication reads:
SELECT trx_id, trx_started, trx_state,
trx_rows_locked, trx_rows_modified
FROM information_schema.innodb_trx
WHERE trx_started < NOW() - INTERVAL 30 SECOND;
If you find blocking transactions, implement row-level locking hints in your amendment update queries and consider reducing transaction isolation level from REPEATABLE READ to READ COMMITTED for the ION adapter connection.
The combination of event-driven polling, connection pool tuning, and read replica separation should bring your sync lag under 2 minutes consistently. Monitor for a week and adjust the polling interval further if needed.
Thanks for the insights. I checked our ION batch settings and they’re at 100 records per batch. During peak amendment periods we’re averaging 40-60 amendments per minute, so batching shouldn’t be the issue. RDS CloudWatch shows occasional read IOPS spikes to 3000, but write IOPS stay under 1000. Could the transaction log analysis reveal something about commit timing?