CASE STUDY

10-Day ROI Through Deep DynamoDB Waste Detection

Millions

saved annually through DynamoDB optimization.

10

days to positive ROI.

60%

storage savings achieved on a major DynamoDB table.

“The ROI on our partnership with PointFive was achieved in less than 10 days. PointFive was the only solution that found hidden inefficiencies in our DynamoDB usage. Their deep waste detection not only uncovered opportunities we never knew existed, the software highlighted smaller opportunities of the same type that when aggregated together are big dollars.

Director of Engineering

Director of Engineering

Background

A leading global FinTech company, recognized as one of the fastest-growing banks, has become one of the largest DynamoDB users worldwide. The rapid expansion of their services led to significant DynamoDB expenses. However, their focus on innovation and speed left limited bandwidth for in-depth cost optimization. They needed a solution to uncover hidden inefficiencies and optimize their DynamoDB usage without compromising their growth momentum.

The company needed to:

  • Identify and eliminate inefficiencies in DynamoDB usage
  • Achieve substantial cost savings
  • Maintain high performance and scalability

For this they turned to PointFive. PointFive helped the customer achieve full ROI in less than 10 days, and save the customer millions in annual cloud spend.

AWS Discounts Weren’t Enough

When this FinTech organization approached PointFive, they had already negotiated private pricing with AWS due to their large scale. However, their Director of Engineering recognized that there were still untapped opportunities for usage optimization beyond rate discounts. They needed a comprehensive analysis of their DynamoDB usage to uncover these opportunities.

Deep DynamoDB Optimization with PointFive

The PointFive platform’s recommendation engine analyzed the FinTech company's DynamoDB workloads and identified deep waste detection opportunities. A few examples include:

Storage Type Optimization

PointFive identified a significant optimization opportunity for a large, heavily accessed DynamoDB table. By analyzing the usage patterns, PointFive recommended transitioning this table from the Standard class to the Standard-Infrequent Access class. The current monthly storage cost for this table was $21,000. After the transition, the cost was reduced to $8,000 monthly cost, resulting in a significant 60% savings. Even after accounting for an additional $2,000 in on-demand request costs, the customer saved $13,000 monthly for this single table.

Inactive Table Identification

Another substantial opportunity was identified for an 18TB DynamoDB table that showed no read or write activity for the past 30 days. PointFive’s platform recommended specific, actionable remediation options, such as archiving the table's data to S3 and then deleting the DynamoDB table. Alternatively, the technology suggested changing storage and capacity settings to minimize costs. These actions provided the FinTech with multiple pathways to eliminate unnecessary expenses associated with inactive tables.

By shifting tables to more cost-effective storage types and identifying inactive tables, PointFive provided actionable recommendations that significantly reduced the FinTech's DynamoDB costs.

Results

PointFive delivered immediate and measurable impact. The FinTech realized a positive ROI within ten days of engaging with PointFive and saved millions of dollars by optimizing DynamoDB usage patterns and eliminating inefficiencies. PointFive’s deep waste detection also surfaced optimization opportunities that other tools had overlooked.

Significant Impact

This leading global FinTech's collaboration with PointFive exemplifies the impact of comprehensive cloud cost optimization. By leveraging PointFive's platform, they not only achieved significant cost savings but also gained deeper insights into their DynamoDB usage. The rapid realization of ROI within just ten days highlights the efficiency and effectiveness of PointFive's approach. This case study underscores the value of going beyond rate discounts to uncover hidden inefficiencies and drive substantial savings.

Nubank

Nubank is one of the world's largest independent digital banks, serving over 100 million customers across Latin America. Headquartered in Brazil, the company operates a large and complex AWS environment that supports a broad portfolio of financial products and more than 7,000 engineers.

A Mature FinOps Practice Hit a Ceiling

Nubank spent years maturing its FinOps practice through internal initiatives and with the support of a well known Cloud Cost Management tool. The platform delivered meaningful value. Nubank gained visibility into cloud spend across accounts, regions, and services, improved budgeting and forecasting accuracy, and tracked cost units across the organization.

Each of Nubank's 50 business units had a dedicated Cost Champion responsible for managing cloud spend against budget. From a FinOps perspective, Nubank had done what many organizations are still working toward.

Despite this maturity, gaps remained. Cost Champions could see rising costs, spikes, and budget deviations, but they could not explain why those changes occurred. Reviewing budgets from current and prior years showed trends, not causes. Without root cause, teams could only react.

Suspected inefficiencies inside AWS were difficult to validate. Central Platform teams occasionally raised concerns, such as the use of incorrect database table classes, but those concerns often stalled. Without clear context, ownership, or an easy way to engage engineering teams, recommendations were hard to act on.

It became clear that Nubank was not missing visibility. It was missing causality, ownership, and a practical path to remediation.

Data Analytics

Extending FinOps Beyond Visibility

Nubank adopted PointFive to extend its existing tooling, not replace it. The CCM platform remained the source of truth for cost transparency and reporting. PointFive focused on identifying inefficiencies and turning them into actionable remediation.

Once PointFive received read-only access to Nubank's AWS environment, it began detecting more than 200 types of waste across configuration, architecture, data lifecycle, and application behavior. Each opportunity appeared with estimated savings, risk level, remediation difficulty, and the full context required to validate the issue.

The results were immediate. By following PointFive's remediation workflows, Nubank engineers remediated enough waste to exceed the annual cost of PointFive in ten days (while still in the proof of concept).

Team Collaboration

Making Efficiency Actionable at Scale

Onboarding took less than a week. Nubank shared its internal AWS tagging structure, and PointFive's customer success team mapped resources to the correct business units, Cost Champions, and engineering owners. This ensured opportunities routed directly to accountable teams without creating additional work for Nubank.

PointFive's approach shifted efficiency ownership from a centralized FinOps function to the teams responsible for the infrastructure. Engineers saw opportunities tied directly to their resources, along with the context needed to validate them quickly and the ability to remediate through existing workflows in tools like Jira and ServiceNow.

Trust played a critical role in adoption. Engineers trusted PointFive's recommendations because they were specific, contextualized, and independently validated. Each opportunity clearly explained the root cause, the cost impact, the recommended remediation, and the associated risk.

Software Development

Measurable Outcomes

Since adopting PointFive, Nubank has reduced its annual cloud spend by millions and lowered monthly cloud costs by approximately 5 percent. These results came not from one time cost cutting, but from sustained remediation at scale.

PointFive continues to detect more than 200 types of waste across Nubank's AWS environment, including misconfigured DynamoDB table storage classes, missing intelligent tiering on S3 buckets, suboptimal storage regions, inactive EBS volumes, and non archival data stored in non archival classes.

With more than 7,000 engineers, cost efficiency had historically competed with delivery, security, and compliance priorities. PointFive changed that dynamic. Engineers now engage directly with efficiency opportunities as part of their daily work, supported by clear ownership, trusted data, and simple remediation paths.

By extending its existing FinOps tooling with PointFive, Nubank moved beyond cost visibility to continuous cloud efficiency, where every team can see, validate, and resolve inefficiencies at speed.

About PointFive

PointFive redefines how enterprises continuously optimize cloud, infrastructure, and AI environments. By combining a real-time cloud and infrastructure data fabric with AI-driven detection and guided remediation, PointFive transforms efficiency from a reporting exercise into an operational discipline. Customers achieve sustained improvements in cost, performance, reliability, and engineering accountability, at scale.

To learn more, book a demo.