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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

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.

Milad Rezazadeh, CTO

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

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

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.

Jonathan Langer, COO, Claroty

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.

Kfir Lippmann, CFO, Salt Security

Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.

Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru

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.

Jason Moore, Principal DevOps Engineer, Accrete AI

Eliminating the need to tag thousands of resources has freed up my team and we've invested our efforts in enhancing our platform significantly.

Ziv Sivan, VP of Engineering

PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.

Andrea Benfatto, Platform/Cloud Runtime Engineering Manager

Cloudflow's new RDS End of Life alerts have allowed us to be more proactive on keeping our database instances up-to-date. The new solution gives us internal visibility ahead of time so that we can prepare for upgrades, instead of having to upgrade under pressure while incurring extended support costs.

Jon Fairbanks, Site Reliability Engineering Manager

PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.

Caio Cristo, Director of Infrastructure/SRE

What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.

Chiamaka Ibeme, Engineering Manager, Platform

SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.

Douglas Zickuhr, Senior Data Platform Engineer at Personio

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Current Ties Every Cloud Dollar to Business Value

Meet Current

The Challenge

The Solution

Results

Real-Time Anomaly Detection

Strategic Partnership

See how DoiT helps cloud teams control spend

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