Cloud Intelligence™Cloud Intelligence™

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Current Ties Every Cloud Dollar to Business Value

Cloud Intelligence™ delivers real-time anomaly detection and workload-level allocations across Current's multi-region Google Cloud and GKE footprint.

Meet Current

Current is a FinTech company headquartered in New York, dedicated to helping millions of Americans improve their financial outcomes through a modern, mobile-first banking experience. As a digital-first business operating in a fast-paced, highly-regulated space, Current relies on the cloud's scalability, agility, and cost efficiency to serve its customers effectively and securely. From day one, Current has operated entirely on Google Cloud, and just as early in its journey, it partnered with DoiT to ensure its cloud investments delivered both performance and efficiency.

The Challenge

As Current scaled its platform and customer base, its cloud infrastructure rapidly became more complex across multi-region deployments. The company needed a way to clearly understand how every dollar spent in the cloud translated into unit economics and business value per job, service, and region. The infrastructure team needed proactive, real-time intelligence to prevent and detect anomalies and optimize workloads quickly before inefficiencies became expensive issues.

The Solution

Cloud Intelligence™ became a core part of Current's infrastructure optimization strategy. The platform's Allocations feature enabled the team to map spend to business logic of workloads across regions. Real-Time Anomaly Detection integrated into Slack provided immediate notifications for unusual spend patterns. DoiT's dedicated Technical Account Managers provided strategic guidance on GKE architecture and commit strategies.

Results

  • Gained single, shared, real-time level of cloud visibility and control tied directly to business operations
  • Reduced wasted spend and shortened time-to-detect/time-to-resolve through proactive anomaly detection
  • Achieved precise, explainable optimizations across GKE and other workloads by dissecting cost by region, service, and job
  • Ensured predictable unit economics through strategic advisory on commitment strategy and cloud architecture

Cloud Intelligence™ supercharges our infrastructure team, which is responsible for driving cost optimization across the stack. We use the console to obtain business-level intelligence and identify all our cost bottlenecks.

Trevor Marshall, CTO and Co-Founder at Current

Real-Time Anomaly Detection

One of the most valuable features currently adopted is DoiT Real-Time Anomaly Detection. Introduced early in its journey, the Anomaly Detection feature quickly became part of Current's daily workflow. By integrating alerts into Slack, the infrastructure team received immediate notifications whenever unusual spend patterns emerged, enabling real-time triage of misconfigurations or unexpected behavior. The alerts transformed cost management from reactive to proactive, enabling the team to resolve issues in real time rather than after-the-fact analysis.

Strategic Partnership

Equally impactful was the human side of the partnership. Over the years, Current has consistently worked with a dedicated team of DoiT Technical Account Managers who not only understand its architecture and goals but evolve alongside Current. This persistent technical relationship has been instrumental in keeping pace with Current's growth and ensuring continuity in decision-making. The partnership has remained strong and consistent over the years, giving Current the confidence to grow on Google Cloud with DoiT as a trusted strategic ally.

See how DoiT helps cloud teams control spend

Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.

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What they say

Stefanini

“Without PerfectScale by DoiT, I don't know how we would do it. We'd have to have twice the number of people on my team to stay on top of it. With PerfectScale, we can focus on the more strategic issues.”

David Adkins, Director of Software and Platform Engineering

Software Projects

Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.

DevOps Lead, Software Projects

Shasta Cloud

Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.

Paul White, VP of Engineering, Shasta Cloud

Flooid

We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.

Martin Lee, Director of Operations

Finlex

DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.

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Hippo

Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.

Eli Zilbershtein, Head of DevOps, Hippo

Island

You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.

Omri Cohen, Director of Engineering, Platform

Claroty

Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.

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Salt Security

Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.

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This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.

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