Autonomously shrink your live disk, with no downtime.
Disk AutoScaler keeps every block volume right-sized across AWS, Azure, and Google Cloud. Its AI learns how each volume actually behaves, expands before a disk fills, and shrinks what you overprovisioned, with zero-downtime and no code changes.
Cloud storage is a cost and time sink, and it is getting worse
Most organizations pay for 3x the block storage they actually use and burn hundreds of engineering hours on manual provisioning and ticket triage. AI workloads, new apps, and unpredictable growth make it harder every quarter.Disk AutoScaler changes that. Autonomously, and without disruption.
Save up to 70% on cloud block storage
Reclaim 100s of engineering hours
Reduce unplanned downtime
Intelligent, autonomous cloud block storage provisioning
AutoScaler doesn't just watch your disks - it understands them. Its AI expands, shrinks, and optimizes volumes on its own, cutting block storage spend by up to 70%. Every action is risk-scored before it runs, and reversible and auditable after.Never run out of disk space again.
Disk AutoScaler expands disks in real time as data grows, predictively, before workloads feel it. No alerts. No tickets. No downtime. Expansion completes in under 60 seconds.
Intelligence meets autonomy
The intelligence behind Disk AutoScaler is unmatched. It has taken 2.3M+ autonomous actions across 17 PB of production storage. Here is how it works.
Learn.
Continuously ingests live IOPS, throughput, latency, and burst data per volume, plus months of historical patterns, and learns how each workload actually behaves. Utilization percentage alone never triggers an action.
Decide.
An application-aware decision model sizes every expand and shrink for the specific workload, with a confidence score on each decision. SQL Server, Kafka, root volumes, and data disks each get the headroom they actually need.
Act.
Zero-downtime execution carries out the change on the live volume. Every action is logged, reversible, and auditable, and you choose how much autonomy to grant.
In October 2025, your savings amounted to $114,890.76. This figure represents the total savings achieved by comparing costs without lucidity to costs with lucidity for all SMPM tenants. This substantial savings underscores the financial benefits of optimizing your usage in the specified period, indicating a successful strategy in reducing expenses.
total_savings_october_2025 = $114,890.76
Ask your storage estate anything
Query your entire storage estate in natural language. Savings this month, volume-level utilization, onboarding status, policy compliance. Answers in seconds, without writing a single query.
See exactly how much your cloud block storage is overspending -
in 60 seconds.
The average enterprise wastes 70% of provisioned cloud storage. Lucidity AutoScaler helps enterprises reclaim that waste autonomously across AWS EBS, Azure Managed Disks, and GCP Persistent Disks - with zero downtime to live volumes or architectural changes to your environment. Plug in your spend and disk utilization to model your savings. No call required.
30% → 76%
Average disk utilization customers achieve with AutoScaler
Up to 70%
Reduction in cloud block storage spend
Zero
Downtime to right-size live volume
Disk AutoScaler resources
“Working with Lucidity has helped us move faster and smarter. Their team gets the challenges we’re trying to solve, and they bring ideas to the table that make a real difference. It’s been a strong, collaborative partnership that’s delivering results and we’re excited about the impact disk tiering and disk cleanup can make at Dometic.”
Frequently asked questions
AutoScaler is Lucidity's autonomous block storage right-sizing engine. It continuously expands and shrinks AWS EBS volumes, Azure Managed Disks, and GCP Persistent Disks in real time — using live IOPS, throughput, latency, and burst data — with zero downtime to running workloads.
AutoScaler is the first solution that shrinks a live partition without taking the volume offline. It coordinates with the OS to safely contract the filesystem and volume in a single operation — no snapshots, no restarts.
Yes. AutoScaler natively supports Azure Managed Disks across all standard tiers and Windows + supported Linux distributions.
The AutoScaler agent uses ≤2% CPU and ~200MB RAM on a typical VM. It needs OS-level read access for storage metadata and cloud-API permissions to modify the volume.
Yes, AutoScaler supports Linux, but support for RHEL versions 8 and 9 is on the roadmap for 2026.
Yes — and it's a strength. Windows Server (including SQL Server on Azure and EC2) is one of the most common AutoScaler deployment patterns.
AWS (EBS), Microsoft Azure (Managed Disks), and Google Cloud (Persistent Disks). AWS EKS is also supported via a CSI driver replacement.
AutoScaler's SLA for expansion is under 60 seconds. Shrink operations complete in 2–4 minutes.
Yes. Every action is logged and reversible. If a workload pattern changes, AutoScaler simply expands the disk again — automatically.
No. AutoScaler is not an abstraction layer and does not require migration. It operates inside your existing storage and compute environment.
AutoScaler uses an application-aware decision model that weighs IOPS, throughput, latency, burst, and historical patterns — not just disk utilization percentage.
Yes. AutoScaler supports AWS EKS by replacing the standard CSI driver with Lucidity's, which adds the shrink and delete capabilities Kubernetes doesn't have natively.
AutoScaler is licensed on the storage you actually use, not what you provision.
AWS Compute Optimizer makes recommendations; AutoScaler acts on them autonomously, and goes further with live shrink and application-aware sizing.