Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
Meet Identiq
Identiq serves as a top-level security layer, preventing new-user fraud so online businesses can confidently accept new users. The company validates users with a P2P network without sharing customer data, leveraging the experience and trust of network members to stop fraudsters masquerading as legitimate users with stolen credit cards.
The Challenge
As a scaling startup with rapidly-changing product requirements, Identiq struggled with AWS commitment-based discounts like Reserved Instances. Forecasting compute needs across regions and machine types was complex, and commitments created financial risks if requirements changed. The team paid premium on-demand rates to avoid over-commitment risks.
The Solution
DoiT's Flexsave for Compute automatically applies equivalent savings of 1-year commitments to on-demand workloads while absorbing financial risk. The solution scans workloads automatically and applies discounts without code changes, eliminating forecasting complexity and commitment limitations.
Results
- Reduce overall EC2 costs by 12%
- Lower on-demand EC2 costs by over 15%
- Optimally cover workloads without managing commitments
- Simplified finance team workload with month-to-month billing
Flexsave for Compute allows us to make infrastructure decisions independent of commitment considerations while giving us the savings of commitments at the same time. While we grow as a company and as we have more customers in production, we need more and more compute. Flexsave for Compute allows us to save on this compute without requiring anything from me or my team. As we grow in production, the savings from Flexsave for Compute grows with us.
Oded Avissar, Head of Cloud Operations, Identiq
Implementation Challenges
Forecasting required coordination with engineering teams to scope resource requirements, determine machine types, and identify global regions. Requirements could change as customers came and went, altering regional compute needs. Machine types could be phased out as software evolved, and projects could end ahead of schedule. The finance team preferred fiscal-year cycles, but mid-year commitments would span two fiscal years, adding complexity.
Seamless Implementation
Flexsave for Compute activated seamlessly without diverting development teams from current projects. No code changes were required for implementation. The solution simplified workload for the finance team by handling costs month-to-month alongside the AWS bill, eliminating the need to amortize reserved compute costs over multiple fiscal years.
See how DoiT helps cloud teams control spend
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
More customer stories
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
Salt Security standardizes COGS measurement to optimize margins and pricing
- 1
- Source of truth for COGS
- 1
- Standardized source of truth for COGS across CFO and DevOps
- 0
- Code or tagging changes required to integrate Attribute™
Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
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
Salt Security standardizes COGS measurement to optimize margins and pricing
- 1
- Source of truth for COGS
- 1
- Standardized source of truth for COGS across CFO and DevOps
- 0
- Code or tagging changes required to integrate Attribute™
What they say
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
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
Your cloud bill shouldn't be a mystery
Let us show you what ships this week.