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Heads up: Jira's new API rate limits kick in tomorrow. Here's how to not get blindsided.

Hey folks,

Quick one for anyone running Marketplace apps, custom integrations, or heavy automations on Jira Cloud.

Atlassian has been rolling out a completely new rate limiting system over the past few months, and enforcement is going live from tomorrow. If you haven't been paying attention to it yet, you probably should — because when it bites, it bites silently.

What actually changing?

The old system was simple: too many requests per second = 429 error. Done.

The new system is way more nuanced. Every API call now costs points based on how heavy the operation is. A simple GET might cost 1 point. A bulk search returning 100 issues? That'll eat a lot more. Your entire site shares a 65,000 point hourly budget across all apps (Tier 1 — Global Pool).

Here's the kicker: you don't get to see your usage. Currently there's no dashboard in Jira. No admin screen. You're basically flying blind until you suddenly start getting 429s and your automations, Marketplace apps, and integrations just... stop working. No error emails. No alerts. They just quietly fail.

Why should you care?

If you have more than 3–4 Marketplace apps installed (and probably who doesn't?), they're all sharing that same 65,000 point pool. Add a few Jira Automations, a CI/CD integration, maybe a Slack bot — and you're burning through points faster than you think.

The worst part? When one app pushes you over the limit, every app on your site gets throttled. Your teammate's Slack notifications stop. Your deployment pipeline stalls. Your standup bot goes silent. And nobody knows why because there's literally nothing in the Jira UI that tells you.

So we built a thing.

We got tired of guessing, so we built QuotaWatch for Jira — a lightweight dashboard that sits inside your Jira instance and monitors your API quota in real time.

What it does:

  • Live usage dashboard — see your current point consumption as a percentage, updated every 15 minutes
  • 24-hour timeline — spot patterns, like that one automation rule that hammers the API every morning at 9am
  • Threshold alerts — set a limit (say 90%), and get a Slack/Teams/Email notification before you actually hit the wall
  • Zero external egress — runs 100% on Forge, inside your Jira instance, nothing leaves your data boundary

It's basically a fuel gauge for your Jira API. Sounds boring until you're the one explaining to your team why everything stopped working at 2pm on a Tuesday.

Takes about 30 seconds to set up

  1. Install from the Marketplace
  2. Open it from Apps → QuotaWatch
  3. That's it. Dashboard starts populating within 15 minutes.

If you want Slack alerts, there's a one-time Jira Automation rule to set up (literally 4 clicks — we have instructions right in the app).

Who's this for?

Honestly? Anyone who's a Jira admin and has more than a couple of apps installed. If you've ever had an integration randomly stop working and couldn't figure out why — there's a decent chance you were being rate limited and didn't know it.

3 comments

MeghnaP_LogicLemur Labs
Atlassian Partner
March 1, 2026

One thing I didn't mention — each API call costs different amounts of points.

A simple GET for one issue costs 2 points (1 base + 1 per object), but a search returning 50 issues costs 51 points in a single call.

Writes are cheap — just 1 point each. So it's really the read-heavy operations like bulk JQL queries and syncs that eat through your quota fast.

If you've got automation rules fetching dozens of issues every few minutes, they're burning way more quota than you'd expect.

Arkadiusz Wroblewski
Rising Star
Rising Star
Rising Stars are recognized for providing high-quality answers to other users. Rising Stars receive a certificate of achievement and are on the path to becoming Community Champions.
March 1, 2026

@MeghnaP_LogicLemur Labs 

Thanks for pinpoint on changes, by the workload I almost would skip that info 🤠🤗

Like MeghnaP_LogicLemur Labs likes this
MeghnaP_LogicLemur Labs
Atlassian Partner
March 1, 2026

@Arkadiusz Wroblewski  😄 Glad it helped — better to catch it now than debug silent 429s later! 🙌

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