Hey folks,
I’m running into a wall with the Genesys Cloud Java SDK (version 12.3.0) while trying to fetch agent adherence data for our WFM dashboard. The script runs fine for small batches, but once I scale up to query all agents in our Chicago division, I start getting 503 Service Unavailable errors from the platform.
I’m using a standard PlatformClient instance, but I suspect the underlying HTTP client isn’t handling connection pooling correctly for our high-volume needs. The script hangs for a few seconds before the timeout exception is thrown.
Here’s how I’m initializing the client:
PlatformClient client = PlatformClientFactory.createPlatformClient();
client.setClientId("our-client-id");
client.setClientSecret("our-secret");
client.setRegion("us-east-1");
client.login();
I’ve tried setting the MaxConnections property, but I’m not sure if that’s the right lever to pull. The error message in the logs looks like this:
com.genesyscloud.platform.client.ApiException: 503 Service Unavailable
at com.genesyscloud.platform.client.ApiClient.execute(ApiClient.java:456)
...
Caused by: java.net.SocketTimeoutException: Connect timed out
I need to know how to configure the underlying RestTemplate or HttpClient to handle concurrent requests properly without hitting the rate limits or exhausting the connection pool. I’ve seen mentions of setHttpClient in the docs, but there aren’t many examples of configuring a PoolingHttpClientConnectionManager for this specific SDK.
Is there a recommended pattern for setting up thread-safe connection pooling in the Java SDK? I’ve tried wrapping the calls in a ThreadPoolExecutor, but that just seems to make the 503s happen faster.
Any code examples for configuring the HTTP client settings before calling login() would be huge. I’m stuck on this one.