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
Good Growth needed to reduce costs for a global enterprise project involving heavy Google Maps API usage. They also wanted to optimize their existing Google Cloud solutions, reduce maintenance overhead, and improve their GKE expertise while maintaining agility as they scaled rapidly.
DoiT provided bulk discounts, expert Google Cloud guidance, and the Cloud Management Platform. The team helped optimize GKE configurations, recommended pod disruption budgets, assisted with migration to fully-managed services like Cloud Run, and provided transparent cost attribution across customers.
The DoiT team helped us develop our GKE expertise and now, rather than spending days trying to dig through the documentation to find what's gone wrong, we speak to DoiT and within a couple of hours we have found the reason and the solution.
Nathan Burrill, Lead DevOps Engineer
Good Growth's customers are primarily global enterprises that have been burned by past digital transformation experiences. The company creates bespoke plans for each customer, allowing them to take small steps towards commercial outcomes while decoupling technical and commercial agendas. When working on a project for a global enterprise involving heavy Google Maps API usage, costs became a significant concern, leading their Google Cloud account manager to recommend partnering with DoiT for bulk discounts.
The DoiT onboarding process was simple and seamless. Before signing the contract, DoiT was already providing preemptive support and sharing knowledge. The team switched the Maps API project billing to DoiT and saw immediate results with an 18% cost reduction. DoiT's billing system also enabled easy cost attribution across different customers, something difficult to achieve directly in Google Cloud.
DoiT helped Good Growth optimize their existing Google Kubernetes Engine implementation. The team provided expert guidance on pod disruption budgets, ensuring GKE maintains specified pod availability during maintenance operations. This ten-minute implementation solved a significant operational issue. DoiT also guided the migration to fully-managed services like Cloud Run and MongoDB Atlas for zero-downtime operations.
Unlike their previous support provider who offered quick fixes, DoiT provides comprehensive solutions that address root causes. Response times improved dramatically, and even when escalation to Google Cloud is needed, DoiT's relationship ensures faster resolution. The partnership eliminates time spent on dummy runs, as Good Growth can discuss infrastructure choices with DoiT's experienced engineers before implementation.
Good Growth adopted the DoiT Cloud Management Platform to manage and analyze cloud spend as more processes moved to the cloud. The platform provides transparency into spending across customers and vendors, enabling accurate cost attribution. This visibility helps Good Growth make informed decisions about infrastructure investments and pass cost savings directly to their customers.
As Good Growth grows rapidly, the DoiT partnership ensures their infrastructure can scale without worry. The company can concentrate on customers while maintaining the agility crucial for startups and scale-ups. Benefits from the DoiT partnership, including cost savings and improved platform resilience, are passed directly to Good Growth's customers, supporting their mission to change how businesses pursue digital transformation.
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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