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@@ -41,7 +41,7 @@ At v1.0, Kubernetes supports clusters up to 100 nodes with 30 pods per node and
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A cluster is a set of nodes (physical or virtual machines) running Kubernetes agents, managed by a "master" (the cluster-level control plane).
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Normally the number of nodes in a cluster is controlled by the the value `NUM_MINIONS` in the platform-specific `config-default.sh` file (for example, see [GCE's `config-default.sh`](../../cluster/gce/config-default.sh)).
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Normally the number of nodes in a cluster is controlled by the the value `NUM_MINIONS` in the platform-specific `config-default.sh` file (for example, see [GCE's `config-default.sh`](http://releases.k8s.io/HEAD/cluster/gce/config-default.sh)).
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Simply changing that value to something very large, however, may cause the setup script to fail for many cloud providers. A GCE deployment, for example, will run in to quota issues and fail to bring the cluster up.
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@@ -82,15 +82,15 @@ These limits, however, are based on data collected from addons running on 4-node
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To avoid running into cluster addon resource issues, when creating a cluster with many nodes, consider the following:
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* Scale memory and CPU limits for each of the following addons, if used, along with the size of cluster (there is one replica of each handling the entire cluster so memory and CPU usage tends to grow proportionally with size/load on cluster):
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* Heapster ([GCM/GCL backed](../../cluster/addons/cluster-monitoring/google/heapster-controller.yaml), [InfluxDB backed](../../cluster/addons/cluster-monitoring/influxdb/heapster-controller.yaml), [InfluxDB/GCL backed](../../cluster/addons/cluster-monitoring/googleinfluxdb/heapster-controller-combined.yaml), [standalone](../../cluster/addons/cluster-monitoring/standalone/heapster-controller.yaml))
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* [InfluxDB and Grafana](../../cluster/addons/cluster-monitoring/influxdb/influxdb-grafana-controller.yaml)
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* [skydns, kube2sky, and dns etcd](../../cluster/addons/dns/skydns-rc.yaml.in)
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* [Kibana](../../cluster/addons/fluentd-elasticsearch/kibana-controller.yaml)
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* Heapster ([GCM/GCL backed](http://releases.k8s.io/HEAD/cluster/addons/cluster-monitoring/google/heapster-controller.yaml), [InfluxDB backed](http://releases.k8s.io/HEAD/cluster/addons/cluster-monitoring/influxdb/heapster-controller.yaml), [InfluxDB/GCL backed](http://releases.k8s.io/HEAD/cluster/addons/cluster-monitoring/googleinfluxdb/heapster-controller-combined.yaml), [standalone](http://releases.k8s.io/HEAD/cluster/addons/cluster-monitoring/standalone/heapster-controller.yaml))
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* [InfluxDB and Grafana](http://releases.k8s.io/HEAD/cluster/addons/cluster-monitoring/influxdb/influxdb-grafana-controller.yaml)
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* [skydns, kube2sky, and dns etcd](http://releases.k8s.io/HEAD/cluster/addons/dns/skydns-rc.yaml.in)
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* [Kibana](http://releases.k8s.io/HEAD/cluster/addons/fluentd-elasticsearch/kibana-controller.yaml)
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* Scale number of replicas for the following addons, if used, along with the size of cluster (there are multiple replicas of each so increasing replicas should help handle increased load, but, since load per replica also increases slightly, also consider increasing CPU/memory limits):
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* [elasticsearch](../../cluster/addons/fluentd-elasticsearch/es-controller.yaml)
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* [elasticsearch](http://releases.k8s.io/HEAD/cluster/addons/fluentd-elasticsearch/es-controller.yaml)
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* Increase memory and CPU limits sligthly for each of the following addons, if used, along with the size of cluster (there is one replica per node but CPU/memory usage increases slightly along with cluster load/size as well):
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* [FluentD with ElasticSearch Plugin](../../cluster/saltbase/salt/fluentd-es/fluentd-es.yaml)
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* [FluentD with GCP Plugin](../../cluster/saltbase/salt/fluentd-gcp/fluentd-gcp.yaml)
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* [FluentD with ElasticSearch Plugin](http://releases.k8s.io/HEAD/cluster/saltbase/salt/fluentd-es/fluentd-es.yaml)
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* [FluentD with GCP Plugin](http://releases.k8s.io/HEAD/cluster/saltbase/salt/fluentd-gcp/fluentd-gcp.yaml)
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For directions on how to detect if addon containers are hitting resource limits, see the [Troubleshooting section of Compute Resources](../user-guide/compute-resources.md#troubleshooting).
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