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
DoiT 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
DoiT 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 DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.
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What they say
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
I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.
Ian Fahey, Senior Analytics Engineer at Loop
You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can
Diana Koshy, Sr. Director of Data Engineering at Kargo
SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.
Devin McGee, Data Engineering Lead at Home Chef
SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform
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Through SELECT's automated savings feature and deep cost visibility, we were able to instantly lower our Snowflake spend by over 40% and achieve a 20X ROI on our SELECT investment.
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