# Publication of cluster state fails - followers check retry count exceeded

**URL:** <https://discuss.elastic.co/t/publication-of-cluster-state-fails-followers-check-retry-count-exceeded/330097>\
**Category:** Elasticsearch\
**Tags:** docker\
**Created:** [April 17, 2023, 7:22am UTC](https://discuss.elastic.co/t/publication-of-cluster-state-fails-followers-check-retry-count-exceeded/330097 "2023-04-17T07:22:01Z")\
**Posts on this page:** 1\
**Showing post:** 37

<div class="post-metadata">

**Author:** ![BenB196](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/benb196/32/83401_2.png) [@BenB196](https://discuss.elastic.co/u/BenB196)\
**Post date:** [May 15, 2023, 11:13pm UTC](https://discuss.elastic.co/t/publication-of-cluster-state-fails-followers-check-retry-count-exceeded/330097/37 "2023-05-15T23:13:33Z")

</div>

Thanks @Itay_Bittan, one thing that sticks out to me:

```auto
Containers:
   elasticsearch:
    Limits:
      cpu: 6900m
      memory: 59Gi
    Requests:
      cpu: 6900m
      memory: 59Gi

```

```auto
Volume Claims:
  Name: elasticsearch-data
  StorageClass: gp3-elasticsearch-aud
  Capacity: 500Gi

```

The above is quite heavy compute specs (especially the RAM) for ~500GB of data. While this isn't inherently bad, this just kind of stands out to me.

Would you be able to describe your use case a bit more in detail, and elaborate a bit more on:

> We are heavily indexing data (bulks)

I see you're using GP3 storage, could you provide the EC2 instance type you're using?

* * *

Also, would be you be able to provide an example of your dedicated master node (or provide the entire config you're using to deploy the entire cluster)?

(There are some Kubernetes specific things you can do when deploying Elasticsearch to Kubernetes to help improve performance. I've covered them here in the past: [Slower Perfomance with Elaticsearch cluster in kubernetes compared to Docker - #9 by BenB196](https://discuss.elastic.co/t/slower-perfomance-with-elaticsearch-cluster-in-kubernetes-compared-to-docker/325759/9))

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