---
title: "Getting the most out of the Billable Action Count metric"
url: https://daily.dev/posts/getting-the-most-out-of-the-billable-action-count-metric-sohswtu6c
source_url: https://temporal.io/blog/getting-the-most-out-of-the-billable-action-count-metric
type: article
source: "Temporal"
published: 2026-08-06T10:37:29.680Z
updated: 2026-08-06T10:41:52.239Z
tags: ["observability", "finops", "prometheus", "workflow-orchestration"]
reading_time: 10
upvotes: 0
comments: 0
language: en
---

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# Getting the most out of the Billable Action Count metric

**[Temporal](https://daily.dev/sources/temporal)** · 10 min read · 0 upvotes · 0 comments

## Summary

Temporal Cloud's new `temporal_cloud_v1_billable_action_count` metric exposes per-second billable action rates broken down by Workflow Type and Action Type. The post walks through practical PromQL queries for cost analysis (identifying top Action consumers, estimating 24-hour totals), debugging (detecting rare code paths and deployment regressions by observing unexpected Action Type spikes), and alerting (ratio-based spike detection, retry-rate thresholds). Operational notes cover query conventions (avoid rate()/increase()), 3-minute data latency, API rate limits (180 req/hour), and cardinality management for the high-cardinality metric. The metric is explicitly not a billing substitute but is the most granular near-real-time tool for understanding Action consumption patterns.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://temporal.io/blog/getting-the-most-out-of-the-billable-action-count-metric>

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---

Tags: [#observability](https://daily.dev/tags/observability), [#finops](https://daily.dev/tags/finops), [#prometheus](https://daily.dev/tags/prometheus), [#workflow-orchestration](https://daily.dev/tags/workflow-orchestration)

[View this post on daily.dev](https://daily.dev/posts/getting-the-most-out-of-the-billable-action-count-metric-sohswtu6c)
