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
Recurly needed to migrate its core infrastructure away from on-premises hardware to the cloud. Payment processing services ran on-premises for security purposes, forcing teams to travel to server warehouses for manual fixes. The company's leadership wanted to eliminate on-premises infrastructure to free IT teams to innovate.
Recurly chose Google Kubernetes Engine as the only PCI-compliant, fully managed Kubernetes solution available. The company deployed Google Cloud Platform with streamlined access to on-demand compute resources through GKE and Compute Engine. They also implemented Cloud IAM for access management, Cloud Pub/Sub for asynchronous processing, and Stackdriver for log management.
Having DoiT as a knowledge partner throughout the process was fantastic. DoiT helped us better understand our challenges and goals and provided effective best practices to keep us moving in the right direction.
Jeff Sheldon, VP of Platform and Architecture
When Recurly deployed their production environment, they scaled their cluster from six nodes to 36 nodes in just a couple of minutes—a process that would have taken hours with their previous provider. Faster and more streamlined scaling allows the company to stand up new environments within one week rather than the months it used to take, translating to much faster time to market for services.
Recurly took advantage of Cloud Identity and Access Management to eliminate access control challenges. With access to cloud resources being controlled through Cloud IAM, they can provide read access to developers all the way through their production environment, empowering the engineering team to focus on innovation rather than verification and routine tasks. The company also relies on Cloud Pub/Sub for asynchronous processing and Stackdriver for log management.
Recurly migrated its infrastructure with confidence by tapping into the engineer-to-engineer support offered by Managed Services Provider and Premier Google Cloud partner, DoiT. Given the migration's scope and complexity, Recurly benefited from DoiT's expertise in navigating all facets of the migration. DoiT offered 24/7 support that accelerated the Google Cloud migration while enabling the company to maximize savings and efficiencies.
After its positive experiences with Google Cloud and DoiT, Recurly is looking to further enhance its infrastructure and employee experiences. Next up for the company is experimenting with data analytics, machine learning, and other Google Cloud solutions. The goal is to enable engineers to innovate through advanced access to cloud technologies that directly support their ideas.
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
Let us show you what ships this week.