Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
Bloomerang is the complete fundraising, donor, and volunteer management platform that helps nonprofits deliver a better giving experience and create stable, thriving organizations. Combining robust, simple-to-use technology with people-powered support and training, Bloomerang's unified Giving Platform empowers thousands of nonprofits across the US to raise exponentially more. As Bloomerang scaled its customer base and engineering team, maintaining real-time infrastructure visibility and operational control became increasingly challenging.
Bloomerang faced common cloud-native challenges with tacit knowledge and outdated documentation. Engineers relied on tribal knowledge for infrastructure understanding, slowing onboarding and troubleshooting. Static diagrams couldn't keep pace with rapidly evolving infrastructure across AWS and Google Cloud, hindering cross-team collaboration and cost governance.
DoiT implemented Cloud Diagrams to provide real-time visualization of Bloomerang's multicloud infrastructure. The solution automatically detects and maps services, dependencies, and resource groupings across AWS and Google Cloud. DoiT also deployed Flexsave for Compute for automated cost optimization and established FinOps workflows with budget alerts and usage analytics.
DoiT didn't just give us a product – they gave us clarity. Cloud Diagrams has helped our teams understand what we're running, why we're running it, and where we can improve. The real-time visibility is a game changer for engineering, leadership, and everything in between.
Donnie Green, VP of Platform Engineering, Bloomerang
DoiT introduced Bloomerang to Cloud Diagrams, a capability in Cloud Intelligence™ that visualizes infrastructure and architecture across both AWS and Google Cloud in real time. Cloud Diagrams automatically detects and maps services, interdependencies, environments, and resource groupings, offering the Bloomerang team an interactive, up-to-date view of their entire multicloud estate. What began as a visibility tool quickly transformed how teams operated. Leadership could finally connect cloud investments with architectural context and business value.
Bloomerang's success with Cloud Diagrams wasn't just about the technology. DoiT's cloud architects became a trusted technical extension of Bloomerang's engineering function. DoiT's team ran working sessions to align Cloud Diagrams with Bloomerang's CI/CD workflows, development environments, and naming conventions, while sharing best practices for integrating the tool into documentation, alerting, and incident response processes. This elevated Cloud Diagrams from a simple visualization tool to a strategic part of daily operations.
For Bloomerang's AWS workloads, DoiT implemented Flexsave for Compute, a feature that automatically delivers cost savings across compute instances without requiring reserved instances or savings plans. This was particularly beneficial for Bloomerang's dynamic workloads, where traditional commitment models had created operational overhead and inefficiencies. Flexsave for Compute allowed Bloomerang to optimize compute spend without sacrificing flexibility and without requiring additional effort from engineers.
As Bloomerang's cloud infrastructure matured, DoiT's team worked closely with stakeholders across platform engineering to implement FinOps workflows tailored to the organization's multi-cloud model. With Cloud Diagrams offering visualized cost overlays and Cloud Intelligence™ features like custom budget alerts and usage analytics, teams could track spend in context, seeing not only how much was being used but where, why, and by whom. DoiT helped establish governance processes around Anomaly Detection, idle resource cleanup, and cross-team accountability.
The combined use of Cloud Diagrams across both AWS and Google Cloud has set the foundation for long-term multi-cloud agility. Bloomerang is no longer constrained by siloed tooling or fragmented understanding. Instead, the company has a central view of its full estate, regardless of provider, that is always current and context-aware. This multicloud clarity allows Bloomerang to make informed decisions about where to run workloads, how to allocate spend, and where to invest in future capabilities.
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
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
Let us show you what ships this week.