Looking for advice on
i’m running a bulk script to update 5k users via /api/v2/users. the platform hits me with 429s pretty quickly. my current retry logic is just a fixed 2s sleep, which feels inefficient. should i be parsing the Retry-After header or implementing exponential backoff? any tips on batching requests without hitting the rate limit wall so hard?
The way I solve this is by parsing the Retry-After header directly. hardcoding sleeps is risky when the platform throttles differently based on endpoint load. here’s a quick node snippet i use in my scripts:
const delay = parseInt(res.headers['retry-after'] * 1000);
await new Promise(r => setTimeout(r, delay || 2000));
ignoring that header just invites more 429s. the api tells you exactly how long to wait. don’t fight it.
The best way to fix this is to stop guessing the delay and actually respect the Retry-After header, but there’s a catch in .NET that bites people all the time. The suggestion above is good for node, but if you’re using the official C# SDK (PureCloudPlatformClientV2), it handles retries internally. The problem is the default retry strategy is often too aggressive or misconfigured for bulk operations.
I ran into this exact wall last month updating 3k users in an Azure Function. The docs state: “The SDK includes automatic retry logic for transient errors, including 429 Too Many Requests.” But you have to configure the RetryConfig correctly, or it just spins and fails.
Here’s what works for me in C#. You need to set the MaxRetries and InitialBackoff explicitly. Don’t just let it default.
var client = new PureCloudPlatformClientV2();
client.AuthClient.SetCredentials(new ApiCredentials {
ClientId = "your_client_id",
ClientSecret = "your_secret"
});
// Configure retry strategy before making calls
client.Config.RetryConfig = new RetryConfig {
MaxRetries = 3,
InitialBackoff = TimeSpan.FromSeconds(2),
MaxBackoff = TimeSpan.FromSeconds(30),
RetryOn429 = true // Critical flag often missed
};
var usersApi = new UsersApi(client);
// Now your bulk loop won't crash instantly
If RetryOn429 isn’t true, the SDK throws immediately, ignoring the backoff. Also, keep your batch size under 100 requests per second per client ID. If you’re still hitting walls, check the RateLimit header in the response. It tells you the remaining window. i usually log that to azure app insights. it’s painful to debug when the platform changes limits silently.
You need to parse the Retry-After header, the suggestion above is spot on. fixed sleeps just make you hit the wall harder.