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If you’re experiencing low throughput or high latency in your DynamoDB operations, especially during periods of low traffic, there are some practical steps you can take to improve performance.
First, understanding what causes the latency can help. Some variation in response times, particularly at the higher end like the 99th percentile, is normal and can happen due to background tasks or infrastructure hiccups. But if you notice consistent delays during quieter periods, it’s often related to how your connections are managed rather than issues with DynamoDB itself.
One common cause is the way your application handles connections. The AWS SDK for Java 2.x recommends reusing service clients instead of creating a new one each time. Reusing clients reduces the time spent establishing connections, which is especially important when traffic is low. When clients aren’t reused properly or when connections expire, you’ll encounter what’s called “cold start” latency — delays while establishing fresh connections.
To help with this, consider adjusting your connection settings. For example, increase the setting that controls how long a connection stays idle before closing, called connectionMaxIdleTime. Setting this to a few minutes can help keep connections open through periods of low traffic. Just be careful not to keep too many inactive connections open at once, as that can use unnecessary resources.
In addition, VPC Gateway Endpoints do not typically cause connection issues. They serve as direct routes within your network and aren’t responsible for changing connection behavior during traffic fluctuations. The choice of the SDK client, whether CRT or Netty, isn’t usually the main factor either. Both can handle connection pooling well; the key is making sure your connection pool remains healthy during low traffic.
A useful tactic is to keep your connections alive by sending regular, lightweight requests or health checks in the background. This “synthetic traffic” helps prevent all connections from going cold and having to be re-established later, which causes latency spikes.
Some other helpful tips include setting appropriate timeout values for your API calls. This ensures your application doesn’t get stuck waiting too long during network issues. Also, keep an eye on request logs and include request IDs for any slow requests; this information can be invaluable if you need to troubleshoot further with AWS support.
Remember that the latency metrics reported mainly measure DynamoDB’s internal handling time. They don’t include network delays on the client side. To get a clear picture, enable SDK logging for latency metrics so you can see if delays come from network issues or from DynamoDB itself.
Lastly, if your application uses streaming or other SDK features, make sure you close resources properly after use. Open connections that aren’t closed can cause the connection pool to run out and lead to further delays.
By managing your connection lifecycle effectively—keeping connections alive during low traffic, setting proper timeouts, and monitoring request performance—you can significantly reduce latency issues. This approach will make your DynamoDB interactions smoother regardless of traffic patterns.
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