Performance issues on shared Kubernetes cluster

Hey! I have an issue with performance on a shared K8s cluster. When there is no load on the cluster, performance is great but for reason when activity increases my ES performance declines a lot.

I have 20 indices, ~ 1GB of data, two nodes. 1000m CPU and 2Gi memory. Deployed with Elastic helm chart.


        "cluster_name" : "elasticsearch",
        "status" : "green",
        "timed_out" : false,
        "number_of_nodes" : 2,
        "number_of_data_nodes" : 2,
        "active_primary_shards" : 90,
        "active_shards" : 180,
        "relocating_shards" : 0,
        "initializing_shards" : 0,
        "unassigned_shards" : 0,
        "delayed_unassigned_shards" : 0,
        "number_of_pending_tasks" : 0,
        "number_of_in_flight_fetch" : 0,
        "task_max_waiting_in_queue_millis" : 0,
        "active_shards_percent_as_number" : 100.0

I am not sure how to properly debug why the performance is declining. Could it be networking bottleneck? The K8s cluster when under load is using < 10% CPU and < 30% memory, although requested is ~ 90% and 70%.

Tips on debugging performance? Thanks a lot.

What version are you running? Do you have Monitoring enabled?

Be aware that the smallest highly available cluster size is 3 nodes.

If the pod has 2GB memory assigned, have you set the Elasticsearch heap size to 1GB (50% of total available RAM for Elasticsearch)?

This is not the only parameters that affect performance. The performance of your storage is often the limiting factor. What type of storage are you using for these nodes?

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