Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
The Challenge
Shasta Cloud runs a richly distributed, multi-tenant platform for MSP customers. Rapid growth made it hard to answer a critical question: what is the true cost of each new feature and workload? The engineering team needed granular cost visibility by microservice, feature, and environment, a way to map infrastructure costs back to revenue-generating capabilities, optimization insights to find high-impact savings, and customer-level forecasting to drive accurate budgeting and pricing.
The Solution
Shasta selected Attribute™ to access consumption-based cost metrics at workload and customer granularity. Within a couple of days of installation, the team had real-time cost allocation by Kubernetes pod, Kafka topic, Redis cache, and more. Attribute™ surfaced feature and tenant-level insights, optimization recommendations, and automated customer cost reports, giving Shasta a clear view of spend per tenant for proactive forecasting.
Results
- Crystal-clear visibility into cloud spend at the workload and tenant level
- Real-time cost allocation by Kubernetes pod, Kafka topic, Redis cache, and more
- Actionable savings identified through optimization recommendations
- Automated per-tenant cost dashboards enabling proactive forecasting and pricing
- Powerful cost reporting available within days of installation
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
About Shasta Cloud
Shasta Cloud is a recognized pioneer in delivering enterprise-grade, open networking systems for managed service providers. The Shasta platform streamlines day-to-day operations, drives down costs, and empowers customers with full control over their network stack. Hardware and manufacturer-agnostic, it offers a full stack solution for enterprise networking.
The challenge: pinpointing the true cost of every feature and workload
With a richly distributed architecture and complex multi-tenancy, Shasta struggled to answer a critical question: what was the true cost of each new feature and workload? Rapid growth meant cloud spend could spiral unless every dollar was accounted for. The engineering team needed granular cost visibility by microservice, feature, and environment. They also needed to map infrastructure costs back to revenue-generating capabilities, spot high-impact savings opportunities, and forecast cost per customer to drive accurate budgeting and pricing.
The solution: consumption-based cost metrics with Attribute™
Shasta selected Attribute™ to access consumption-based cost metrics at workload and customer granularity. Within a couple of days of installation, the team had powerful cost reporting in hand. Attribute™ delivered real-time cost allocation by Kubernetes pod, Kafka topic, Redis cache, and more, plus feature and tenant-level insights that pinpointed the services driving the biggest spend.
Optimization and customer-level forecasting
Attribute™ highlighted configurations and architectural tweaks to trim waste, giving Shasta a clear path to optimization. Automated dashboards showed spend per tenant, enabling proactive forecasting and more accurate pricing decisions. Engineering and finance teams now share a single, trusted view of cloud economics.
Scaling confidently with data-driven decisions
With Attribute™ powering their cost-management strategy, Shasta can continue scaling confidently. The team makes data-driven decisions, optimizes unit economics, and delivers even greater value to their MSP customers.
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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Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
Software Projects accelerates a complex IBM-to-AWS migration with DoiT
- 3
- AWS MAP phases delivered: Assess, Mobilize, Modernize
- 40
- Servers migrated 1:1, preserving the full four-tier topology
- 2→1
- IBM Cloud regions consolidated into a single AWS VPC across multiple AZs
Flooid powers the future of retail with Google Cloud and DoiT
Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
Turning cloud costs into team action at Hippo
- Minutes
- Time to integrate Attribute™ with AWS
- Business unit
- Level of cost accountability achieved
Island gains true cost-per-customer visibility, without tagging
- $5B
- Company valuation
- Days
- Time to first insights
- 0
- Tags required
Claroty unlocks precise customer cost attribution with Attribute™
- 1,000+
- Customers protected worldwide
- Days
- Time to first granular cost reports
- Zero
- Disruption to operations during deployment
SaaS Leader
How Customer-Level Cost Attribution Enables Value-Based AI Pricing
- $1.3M
- in negative-margin revenue surfaced
- ~360
- unprofitable accounts identified
- $1.3M
- in aggregate losses surfaced
What they say
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
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
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