How Raptive proactively prevents AWS RDS extended support costs
- 37 databases
- automatically covered across all AWS regions, and counting
- ~$10k/year
- annual extended support costs prevented
TradeLocker is a global Contract for Difference (CFD) trading platform that enables real-time access to Forex, indexes, metals, and international equities. Its infrastructure bridges brokers and financial markets, meaning uptime isn't just critical; it's non-negotiable. A single second of downtime can translate to missed trades and real financial loss for users across the globe.
TradeLocker's rapid growth put immense pressure on infrastructure scaling. After moving from physical servers to AWS, the team had no visibility into cloud spend. Without a formal FinOps practice, they couldn't track resource consumption or optimize costs while maintaining zero downtime requirements for their trading platform.
TradeLocker implemented DoiT Cloud Intelligence platform for daily spend monitoring, budgets, and alerts. DataHub aggregated costs across AWS, OpenAI, Jira, Slack, and other services into a single source of truth. This enabled engineering teams to take ownership of cloud usage and calculate previously unattainable cost-per-user metrics.
For anyone considering DoiT: do it. The tools pay for themselves. We've reduced costs, improved visibility, and built a platform that can scale globally with control and confidence.
Matej Serbec, CTO, TradeLocker
A major breakthrough came with the implementation of DataHub, DoiT's powerful feature for centralized cost intelligence. TradeLocker used DataHub to aggregate spend data across a wide array of tools, from AWS and OpenAI to Jira, Slack, and other essential services. This gave the team a single, unified source of truth for all cloud and SaaS-related expenses, eliminating silos and enabling a far more comprehensive understanding of their operational footprint.
With this visibility, TradeLocker was able to distinguish between direct and indirect costs and track how each one scaled with user growth. The team could finally calculate cost-per-user, a previously unattainable metric, which became foundational in how both engineering and business teams made decisions around infrastructure, pricing, and future growth strategies.
Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.
PerfectScale by DoiT has become an mportant 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
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.
Chiamaka Ibeme, Engineering Manager, Platform
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.
Edward Mancey, GTM Lead at Synthesia
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
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