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docs: High Availability Setup documentation #2715

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added docs for high availability
Rishab87 Aug 3, 2025
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7 changes: 7 additions & 0 deletions README.md
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Expand Up @@ -53,6 +53,7 @@ are deleted they are no longer visible on the `/metrics` endpoint.
* [Horizontal sharding](#horizontal-sharding)
* [Automated sharding](#automated-sharding)
* [Daemonset sharding for pod metrics](#daemonset-sharding-for-pod-metrics)
* [High Availability](#high-availability)
* [Setup](#setup)
* [Building the Docker container](#building-the-docker-container)
* [Usage](#usage)
Expand Down Expand Up @@ -304,6 +305,12 @@ spec:

Other metrics can be sharded via [Horizontal sharding](#horizontal-sharding).

### High Availability

For high availability, run multiple kube-state-metrics replicas to prevent a single point of failure. A standard setup uses at least 2 replicas, pod anti-affinity rules to ensure they run on different nodes, and a PodDisruptionBudget (PDB) with `minAvailable: 1` to protect against voluntary disruptions.
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I would suggest to add an introductory paragraph:

  • It should mention that multiple replica increase the load on the Kubernetes' API as a trade-off.

  • It should mention that most likely you don't need HA if you scrape every 30s and you can tolerate a few missing scrapes (which usually is the case)

  • Does a "standard" setup exist?


When scraping the individual pods directly in an HA setup, Prometheus will ingest duplicate metrics distinguished only by the instance label. This requires you to deduplicate the data in your queries, for example, by using `max without(instance) (your_metric)`. The correct aggregation function (max, sum, avg, etc.) is important and depends on the metric type, as using the wrong one can produce incorrect values for timestamps or during brief state transitions.
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Is Pod Scraping that common? I would assume most folks will scrape at the service level via a ServiceMonitor / Prometheus-Operator or similar.

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yeah right


### Setup

Install this project to your `$GOPATH` using `go get`:
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7 changes: 7 additions & 0 deletions README.md.tpl
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Original file line number Diff line number Diff line change
Expand Up @@ -53,6 +53,7 @@ are deleted they are no longer visible on the `/metrics` endpoint.
* [Horizontal sharding](#horizontal-sharding)
* [Automated sharding](#automated-sharding)
* [Daemonset sharding for pod metrics](#daemonset-sharding-for-pod-metrics)
* [High Availability](#high-availability)
* [Setup](#setup)
* [Building the Docker container](#building-the-docker-container)
* [Usage](#usage)
Expand Down Expand Up @@ -305,6 +306,12 @@ spec:

Other metrics can be sharded via [Horizontal sharding](#horizontal-sharding).

### High Availability

For high availability, run multiple kube-state-metrics replicas to prevent a single point of failure. A standard setup uses at least 2 replicas, pod anti-affinity rules to ensure they run on different nodes, and a PodDisruptionBudget (PDB) with `minAvailable: 1` to protect against voluntary disruptions.

When scraping the individual pods directly in an HA setup, Prometheus will ingest duplicate metrics distinguished only by the instance label. This requires you to deduplicate the data in your queries, for example, by using `max without(instance) (your_metric)`. The correct aggregation function (max, sum, avg, etc.) is important and depends on the metric type, as using the wrong one can produce incorrect values for timestamps or during brief state transitions.

### Setup

Install this project to your `$GOPATH` using `go get`:
Expand Down