Handling 504 Gateway Timeouts during high-volume Jira REST API & webhook syncs

Tony Long_81vplk

Hello Atlassian Community,

We are optimizing background worker listener stability and automated payload handling when syncing Jira automation events into enterprise CRM endpoints.

Technical Setup:

• Our integration architecture _address removed_ triggers automated B2B sales updates and syncs Jira issue webhooks into external CRM pipelines.

• Payload transmissions run over secure HTTPS using TLS 1.3 encryption.

The Issue We're Facing:

1. Under heavy concurrent load spikes, background POST webhook listener sockets occasionally report HTTP 504 gateway timeout responses before acknowledging payload completion.

2. Direct REST API requests to the same endpoint resolve normally under 150ms thresholds.

3. Does anyone have experience configuring Jira automation queue buffers or asynchronous retry logic to prevent duplicate payload delivery and socket drops?

Any advice on managing high-throughput Atlassian webhook integrations would be appreciated!

Thanks!

Evgenii Isaenkov

Hi, @Tony Long 

Please don't insert links to external resources in your post, it looks like advertisement. I removed the address from your post, but your question is useful for other people, so let's keep it.

Now about your question:

The 504 is coming from your side of the connection, not from Jira. When Jira (or an Automation rule) fires a webhook, it expects a response within a few seconds. If your listener processes the payload synchronously before responding, under load spikes it won't answer in time, and that's exactly when you see gateway timeouts.

The standard fix is the "ack fast, process later" pattern:

1. Your endpoint accepts the POST and immediately returns 2xx, doing nothing else inline.
2. The raw payload goes into a queue (SQS, RabbitMQ, Redis Streams, whatever you run).
3. Background workers consume the queue and do the actual CRM sync at their own pace.

For duplicate delivery, don't try to prevent it, make processing idempotent instead: derive an idempotency key from the payload (webhook event id, or issue key + updated timestamp) and have workers skip keys they've already processed. Duplicates are unavoidable in this architecture anyway, usually from your own retry logic rather than from Jira.

One more thing worth knowing: if you integrate with Jira Cloud, Cloud webhooks have no guaranteed delivery. If an event fails to deliver, it's gone. So for a sync you actually rely on, back the webhooks with periodic reconciliation: a scheduled REST query like updated >= "-1h" that catches anything the webhook path missed.