The Challenge
Island lacked visibility into true cost per customer and cost per feature. Billing data showed what was spent but not what was driving costs at the application layer. The company runs a sophisticated AWS environment with heavy use of shared resources like EKS, RDS, DynamoDB, and AZ-to-AZ data transfer. Allocating these shared costs in a multi-tenant architecture was effectively impossible with native cloud tools and third-party platforms. Tagging wasn't a solution either, requiring heavy setup, constant maintenance, and unable to reliably capture customer-level consumption.
The Solution
Attribute™'s FinOps without Tagging approach required no tagging, no custom logs, and no manual instrumentation. Automated discovery began scanning Island's runtime consumption from day one and delivered useful insights within days. The plug-and-play evaluation tied cloud spend directly to business outcomes, giving Island accurate cost per customer, cost per feature, reliable allocation of shared infrastructure and data transfer, and a single source of truth for customer-level cloud economics.
Results
- True cost-per-customer visibility across a complex multi-tenant environment.
- Better pricing and margin decisions through feature- and customer-level insights.
- Cost transparency without the operational burden of tagging or manual cost modeling.
- Stronger alignment across engineering, product, and GTM teams from a shared cost source.
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
Cost transparency at scale
Island scaled rapidly to hundreds of enterprise customers on a complex multi-tenant cloud foundation. Understanding unit economics was critical from day one. But the team lacked clarity on customer-level margins, expensive features, and unexpected usage patterns. That limited their ability to support pricing, growth modeling, and GTM decisions. Billing data was available, but it couldn't reveal what was actually driving costs at the application layer.
Why traditional tools and tagging fell short
Island's AWS footprint includes heavy use of shared resources such as EKS, RDS, DynamoDB, and significant AZ-to-AZ data transfer. Allocating these shared costs accurately in a multi-tenant environment proved effectively impossible with native cloud tools and third-party platforms. They surfaced bills and charts but couldn't answer the core questions: What does each customer really cost? Which features are expensive to run? Where is high-cost usage coming from? Tagging added heavy setup and maintenance and still couldn't capture customer-level consumption reliably.
FinOps without tagging
Attribute™'s approach resonated immediately. No tagging, no custom logs, and no manual instrumentation were required. Automated discovery began scanning Island's runtime consumption from day one and produced useful insights within days. The evaluation was fast and truly plug-and-play, tying cloud spend directly to business outcomes.
Granular insights, zero overhead
With Attribute™, Island gained accurate cost per customer, cost per feature visibility, reliable allocation of shared infrastructure and data transfer, and a single source of truth for customer-level cloud economics. The platform delivered trusted cost metering without adding operational overhead, revealing exactly where to focus and where savings opportunities existed.
Outcomes across the business
Island can now see what each customer actually costs, even in a complex multi-tenant environment. Feature-level and customer-level insights support smarter pricing and more accurate growth modeling. Engineering, product, and GTM teams operate from a shared, trusted cost source, eliminating the operational burden of tagging or manual cost modeling.
See how Attribute™ reveals the hidden profit in your cloud spend
Explore how Attribute™ delivers runtime cost attribution without tagging, so teams can understand cost per workload, service, and customer.
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What they say
Partnership with DoiT is extremely significant. We've been able to grow significantly over the last year, mostly because we could reinvest our resources in new technologies instead of new internal resources.
Jason Hartin, CTO
On integrating DataHub, the DoiT team was very hands-on to the point where DoiT support put together the first ingestion script and pipeline to unlock us.
Kyle Espinola, Head of Platform Engineering
“PerfectScale gives us the confidence to automate Kubernetes optimization while letting our engineers focus on building what matters.”
Josh Zarrabi, Infrastructure Engineer
“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
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
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
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
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
Your cloud bill shouldn't be a mystery
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