Addressing AWS EBS Overprovisioning with Datafy, Vantage, and CloudHealth

This review examines Datafy, Vantage, and CloudHealth for managing AWS EBS storage waste, focusing on their capabilities for identifying overprovisioning and facilitating volume reclamation.

The Answer Up Front

For teams grappling with AWS EBS overprovisioning, particularly after incident-driven volume expansions, the choice of tool depends on the desired level of automation versus control. Vantage offers strong visibility into storage waste, while CloudHealth provides a broader enterprise reporting suite. Datafy is presented as a tool focused on direct EBS volume shrinking. However, for critical stateful workloads like EKS-backed databases and Kafka streams, the inherent risks of automated storage shrinking often outweigh the benefits, making manual, carefully planned migrations the safer, albeit more labor-intensive, approach.

Methodology

This v0 review draws on the user-reported claims and observations from bytezvex, a founder facing an AWS EBS overprovisioning challenge, as published on Reddit on 2026-06-07. The source signal describes a specific scenario where production volumes were expanded from 400GB to 2TB and now show actual usage around 200GB. The review covers bytezvex's understanding of Vantage, CloudHealth, and Datafy's capabilities for identifying and remediating this waste. What is not covered includes independent performance benchmarks, long-term workflow integration, or edge case handling for these tools. Independent verification of these tools' features and performance, especially Datafy's shrinking capabilities, is pending. Update cadence: re-tested when claims diverge from observed behavior or new public artifacts emerge.

What It Does

Identifying Waste

According to bytezvex, Vantage excels at providing visibility into AWS resource consumption, specifically highlighting where storage waste exists. It helps teams pinpoint overprovisioned EBS volumes, making it easier to quantify the financial impact of unused capacity. CloudHealth is also noted for its enterprise-grade reporting capabilities, offering a comprehensive view of cloud spend and potential optimizations, though its focus is broader than just EBS.

Remediation Challenges

Both Vantage and CloudHealth, while effective at identifying waste, reportedly do not directly solve the problem of shrinking EBS volumes. The actual remediation work, involving reducing volume sizes, typically falls back to engineering teams. This process often entails manual steps like creating smaller volumes, rsync or restoring data, and scheduling maintenance windows, which carry risks such as data drift and service disruption for stateful applications.

Automated Shrinking

Datafy is presented as a tool specifically focused on EBS reclamation and shrinking. Bytezvex indicates an understanding that Datafy aims to automate the process of reducing overprovisioned EBS volumes. This capability directly addresses the pain point of manual migrations, potentially offering a way to reclaim costs without extensive engineering effort. However, the source signal also highlights a significant caution regarding any tool that automatically modifies live storage, particularly for critical stateful workloads.

What's Interesting / What's Not

The core tension in bytezvex's situation is common: the conflict between incident response and cost optimization. Expanding EBS volumes from 400GB to 2TB to avert a production incident is a necessary, albeit costly, immediate fix. The subsequent challenge of shrinking these volumes back to 200GB actual usage highlights a significant gap in AWS's native capabilities and the broader FinOps tool ecosystem. While AWS allows volume expansion without downtime, shrinking them typically requires a full migration. This is a critical pain point for any organization running stateful infrastructure on EKS with EBS-backed PVs for database mirrors and Kafka streams.

Vantage and CloudHealth represent the established visibility and reporting layer. Their value is in surfacing the cost problem. What's interesting is the explicit desire for a tool that moves beyond reporting to remediation. Datafy's reported focus on EBS reclamation and shrinking is a direct response to this need. If Datafy can safely and reliably shrink live EBS volumes for stateful workloads without data corruption or significant downtime, it would be a meaningful improvement over current manual processes. However, the

The investor read

The signal points to a persistent, costly problem in cloud infrastructure: the inability to easily shrink overprovisioned storage, especially EBS. This creates a clear market for tools that move beyond cost visibility (Vantage, CloudHealth) to automated, safe remediation. A company like Datafy, if it can verifiably solve the EBS shrinking problem for stateful workloads, would tap into significant enterprise spend. The key for investability lies in demonstrating robust data integrity, minimal downtime, and broad compatibility with common stateful patterns (EKS, databases, Kafka). The market for FinOps tools is maturing, and the next wave of value will come from actionable, automated cost remediation, not just reporting. Manual migration pain points represent a substantial operational cost that founders are eager to eliminate.