# Kubernetes Informers: Lessons from operating them in large clusters

DevFeed: [Kubernetes Informers: Lessons from operating them in large clusters](<https://devfeed.tech/articles/kubernetes-informers-are-so-easy-to-misuse-81896.md>)

Original publisher: [Read original article](<https://render.com/blog/kubernetes-informers>)

Published: 2025-08-26T22:12:00Z

Content type: tutorial

Language: en

Sources: [Render](<https://devfeed.tech/sources/render.md>)

Topics: [CoreDNS Kubernetes](<https://devfeed.tech/topics/coredns-kubernetes.md>), [Data pipelines](<https://devfeed.tech/topics/data-pipelines.md>), [clustering](<https://devfeed.tech/topics/clustering.md>), [Percona Operator for PostgreSQL](<https://devfeed.tech/topics/percona-operator-for-postgresql.md>)

Tags: [backpressure](<https://devfeed.tech/tags/backpressure.md>), [cache](<https://devfeed.tech/tags/cache.md>), [clusters](<https://devfeed.tech/tags/clusters.md>), [container](<https://devfeed.tech/tags/container.md>), [debugging-tools](<https://devfeed.tech/tags/debugging-tools.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>)

## AI overview

Render shares lessons from using Kubernetes Informers in large clusters. The article explains how Informers list and watch resources, why controllers should reconcile from current state, how slow serial handlers can cause memory growth and OOM kills, and how caches, selectors, workqueues, and transforms can help manage load and memory.

## Source excerpt

Three hard-learned lessons from Render about using Informers in large clusters.