Meet Bloomerang
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.
The Challenge
Bloomerang faced common cloud-native challenges with tacit knowledge and outdated documentation.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.
The Solution
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.
Results
- Achieved 16% reduction in infrastructure costs through enhanced visibility and automated optimization
- Accelerated engineer onboarding with real-time system documentation replacing outdated diagrams
- Improved cross-team collaboration with shared architectural truth across platform, development, and security teams
- Established mature FinOps culture with unified cost visibility and governance workflows
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
Real-time cloud visibility with Cloud Diagrams
DoiT introduced Bloomerang to Cloud Diagrams, a capability in DoiT 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.
Deep technical partnership beyond tooling
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.
Cost optimization with Flexsave for Compute
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.
Supporting FinOps and governance
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 DoiT 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.
A foundation for multicloud agility
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.
See how DoiT helps cloud teams control spend
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What they say
What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.
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SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.
Douglas Zickuhr, Senior Data Platform Engineer at Personio
I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.
Ian Fahey, Senior Analytics Engineer at Loop
You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can
Diana Koshy, Sr. Director of Data Engineering at Kargo
SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.
Devin McGee, Data Engineering Lead at Home Chef
SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform
Blake Baggett, Head of Data Operations at Entain
One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. If not, I can very quickly drill down into specific workloads which may have driven the cost spike and remediate them before they become a bigger issue.
Michael Revelo, Manager of data and analytics engineering at ClickUp
Through SELECT's automated savings feature and deep cost visibility, we were able to instantly lower our Snowflake spend by over 40% and achieve a 20X ROI on our SELECT investment.
Skyler Chi, SVP, GTM Productivity & Excellence at Exiger
Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.
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DoiT was a true partner, not a vendor. They helped us understand the problem, refine the vision, and build something production-ready far faster than we could have on our own. Their expertise, responsiveness, and commitment made all the difference.
Dr. Anish Kapur, Founder & CEO, Promptly
DoiT's Customer Success and Forward Deployed Engineering teams work very closely with us. The regular sessions with our CSM keep us focused on the right priorities, and the FDEs provide the deep technical guidance we need to validate decisions and optimize our environment. That combination has been genuinely valuable for us.
Alexander Lundberg Santos, Platform Engineer at Extenda Retail
Every customer has unique usage patterns. Manual resource optimization simply didn't scale—we needed automation to ensure every customer, regardless of size, had right-sized infrastructure without consuming our team's capacity.
Brad Quinn, Lead Platform Engineer, PlayHQ
PerfectScale allowed us to grow capacity without growing cost. We effectively absorbed 30% more usage for free.
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