DBaaS Postgres: storage autoscaling and backup browser

dbaas postgresql
2026-07-27
By Thalassa Cloud

Two updates for DBaaS Postgres: automatic storage expansion and a backup file browser in the Console. Both are available now. Storage autoscaling Database volumes can now grow automatically. When enabled, the platform monitors disk usage and expands the volume once it crosses your configured threshold. You can enable this in the Console, via the CLI, or through the API: Setting Description Notes Maximum Storage (GB) Upper limit the volume may grow to Must be at least 1 GB Scale at Usage (%) Utilisation threshold that triggers a scale-up Recommended: 80% (keeps 20% free) Increase by (%) How much to grow relative to current size Default: 10% Max Increase per Step (GB) Cap on how many GB are added in a single scale step Default: 100 GB The screenshot below shows the autoscaling configuration panel.

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DBaaS Postgres: storage autoscaling and backup browser

Two updates for DBaaS Postgres: automatic storage expansion and a backup file browser in the Console. Both are available now. Storage autoscaling Database volumes can now grow automatically. When enabled, the platform monitors disk usage and expands the volume once it crosses your configured threshold. You can enable this in the Console, via the CLI, or through the API: Setting Description Notes Maximum Storage (GB) Upper limit the volume may grow to Must be at least 1 GB Scale at Usage (%) Utilisation threshold that triggers a scale-up Recommended: 80% (keeps 20% free) Increase by (%) How much to grow relative to current size Default: 10% Max Increase per Step (GB) Cap on how many GB are added in a single scale step Default: 100 GB The screenshot below shows the autoscaling configuration panel.

Why Node Pool Autoscaling Matters for Your Infrastructure

Running Kubernetes clusters often means balancing two competing priorities: ensuring your workloads have enough resources to perform well, and not overspending on idle infrastructure. Node Pool Autoscaling solves this by automatically adjusting your node pool size based on actual demand. What it solves Autoscaling directly addresses two key challenges—all related to how efficiently you use your infrastructure resources. 1. The Cost Problem Without autoscaling, you typically size your node pools for peak demand.

Introducing Node Pool Autoscaling on Thalassa Cloud

We are excited to announce the launch of Node Pool Autoscaling for our Managed Kubernetes service. This feature automatically adds or removes worker nodes in your node pools based on your workloads’ resource demands, ensuring optimal capacity while helping you control costs. Scale Automatically with Demand The Node Pool Autoscaler uses the upstream Kubernetes Cluster Autoscaler to monitor your cluster resource usage and make scaling decisions. Autoscaling is configured per node pool.