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
Lusha is a growing challenger in B2B sales intelligence. Founded in 2016, the Boston-based data broker has built itself up to become a major lead engagement platform for over 1.5 million users. Its cloud-native platform offers over 100 million business profiles to help sales and recruitment professionals find their next prospects and candidates. Lusha offers a competitive alternative to larger incumbents in the sales intelligence space by offering highly accurate, reliable data through an intuitive, easy-to-use dashboard.
Lusha faced rapidly increasing operational complexity managing AWS workloads across multiple teams. The company struggled to maintain predictable unit economics on cloud expenditures while investing in new machine learning and AI features. They needed a single, shared, real-time view of costs to better link usage to business decisions and support their growing infrastructure needs.
DoiT conducted a comprehensive assessment of Lusha's environment and onboarded them on Cloud Intelligence™ for real-time visibility. The solution included implementing Flexsave for Compute for cost optimization, mapping cloud spend across 10+ teams using DoiT Allocations, and building team-specific reports with DoiT Cloud Analytics. DoiT also provides ongoing cloud expertise through monthly meetings and proactive optimization support.
The personalization of the process is what sets DoiT apart. They learn about Lusha, understand our pain points, and tailor their approach. It's a partnership. At the end of the day, it's the people who make the difference.
Amir Daniely, Director of DevOps at Lusha
Lusha also leverages DoiT's cloud expertise to keep its environment well-architected and governed while optimizing its infrastructure. By collaborating closely with the DoiT team, Lusha leverages tailored guidance and intelligent technology that helps streamline operations and ensure a well-architected, scalable cloud environment. This partnership empowers Lusha to proactively address challenges, drive efficiency, and unlock the full potential of its cloud investment. Lusha's engineers meet with DoiT monthly to exchange feedback and insights aimed at improving infrastructure. Additionally, when specific issues arise, DoiT proactively engages with Lusha's team to explore potential optimizations.
Lusha has also begun experimenting with new AI-based technologies, which DoiT supports through co-design, prototyping, and architectural guidance. DoiT gives Lusha's team access to its cloud architects, who can help them ideate and prototype tools or services they can then test and iterate on.
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
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
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