Web Service Buffer and read Quota settings

To troubleshoot the issue with your web service failing when the payload size grows to around 4 MB, you can investigate and adjust the network settings on the Load Balancer in AWS. Here are some steps you can follow:

Determine the Load Balancer type: Identify the type of Load Balancer you are using, as AWS provides different load balancing options such as Classic Load Balancer (CLB), Application Load Balancer (ALB), and Network Load Balancer (NLB). Each type has its own set of configuration options and considerations.

Check Load Balancer settings: Review the current settings of your Load Balancer. Specifically, pay attention to parameters related to request and response sizes, timeouts, and buffer limits. These settings can impact the handling of larger payloads.

Adjust Load Balancer settings: Depending on the Load Balancer type, you may need to adjust different settings. Here are some areas to focus on:

Connection limits: Ensure that the maximum number of connections allowed by the Load Balancer is sufficient for your application's needs. Idle timeouts: Increase the idle timeout value if the request processing takes longer due to larger payloads. Request and response size limits: Adjust the maximum request and response size limits to accommodate larger payloads. For example, in ALB, you can modify the http.request.header.bytes, http.request.body.bytes, and http.response.body.bytes parameters. Buffering: Check if buffering options are enabled on the Load Balancer. Depending on the Load Balancer type, you may have control over request/response buffering, and enabling or adjusting buffering settings can help handle larger payloads. Monitor logs and metrics: Enable access logs and review the logs generated by the Load Balancer. This can provide insights into any errors or failures occurring during the request/response process. Additionally, monitor relevant metrics such as connection counts, request rates, and response times to identify any anomalies or performance bottlenecks.

Consider scaling: If increasing the Load Balancer settings doesn't resolve the issue, it may be necessary to scale up the capacity of your Load Balancer or consider using multiple Load Balancers in a distributed manner to handle larger payloads efficiently.

Remember to test and validate the adjustments made to the Load Balancer settings to ensure they effectively address the issue without causing any unintended consequences.