v6.1.6

Fix autoscaling of counter metrics on large pools, support arbitrary secrets for Grafana, and run the ACME service when the cluster is scaled to minimum.

This release contains bug fixes to Hydrolix v6.1. Refer to the release notes to see other notable feature announcements and information for this version.

• v6.1.5

Upgrade

Don't skip minor versions when upgrading or downgrading

Skipping versions when upgrading or downgrading Hydrolix can result in database schema inconsistencies and cluster instability. Always upgrade or downgrade sequentially through each minor version.

Example:
Upgrade from 5.10.10 → 5.11.9 → 6.0.8, not 5.10.10 → 6.0.8.

Upgrade on GKE

kubectl apply -f "https://www.hydrolix.io/operator/v6.1.6/operator-resources?namespace=${HDX_KUBERNETES_NAMESPACE}&gcp-storage-sa=${GCP_STORAGE_SA}"

Upgrade on EKS

kubectl apply -f "https://www.hydrolix.io/operator/v6.1.6/operator-resources?namespace=${HDX_KUBERNETES_NAMESPACE}&aws-storage-role=${AWS_STORAGE_ROLE}"

Upgrade on LKE

kubectl apply -f "https://www.hydrolix.io/operator/v6.1.6/operator-resources?namespace=$HDX_KUBERNETES_NAMESPACE"

Changelog

Bug fixes

Cluster operations

• Fixed hdx-scaler-go mis-scaling rate: true counter metrics on pools larger than 30 pods, which could drive a pool to its maximum replica count. It now computes each counter's rate per pod, matching the legacy Python scaler.

• Added optional support for passing arbitrary secrets to the Grafana service as environment variables. Without the feature, only certain curated secrets are available in the Grafana environment. By adding secret_env to the grafana_config tunable, administrators can convey additional, arbitrary secrets into the Grafana environment.

• Included acme in the list of services to run when cluster is scaled to minimum with the scale_min tunable. After conversion from its original form as a job, now the acme service must remain running to renew certificates using ACME.