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
Meet DaySmart
DaySmart is a global vertical SaaS provider serving over 30,000 businesses across recreation and fitness, pet and animal care, beauty and wellness, automotive, healthcare, government and SMB markets. For over 20 years, the company has developed purpose-built business management platforms that enable organizations to manage appointments, staff, payments, client communication, schedule classes and facilities, and operate more efficiently. Its product suite includes DaySmart Appointments, TeamUp, BoxMate, Sawyer, DaySmart Vet, DaySmart Pet, Time To Pet and industry-specific solutions. The company's approach is tailored, not generic, with every product category having unique operational, financial and scheduling patterns.
The Challenge
DaySmart needed to operationalize AI across multiple vertical SaaS platforms that produce different data behaviors and KPIs. Early experiments with ChatGPT lacked production-grade integration, security controls, and automation. The company also faced fragmented cloud ownership across acquired products, requiring unified visibility and governance as AI workloads increased.
The Solution
DoiT's Gen AI Cloud Accelerator provided structured discovery, collaborative use-case design, and hands-on implementation support. DoiT designed a serverless architecture built on AWS Lambda, ECS Fargate, API Gateway, and other AWS services, creating scalable pathways for LLM-driven intelligence. The solution included unified cloud governance through DoiT Cloud Intelligence and AWS Well-Architected practices.
Results
- Shipped AI capability in 90 days with zero engineering lift, preserving internal roadmap focus
- Unified cloud visibility across disparate environments for platform-wide decision making
- Established future-proof AI foundation for vertical intelligence across all product lines
- Reduced senior leadership time managing infrastructure, enabling focus on strategic AI programs
Working with DoiT gave us the speed of a startup and the rigor of an enterprise R&D lab. We launched an AI feature in ninety days with zero engineering lift, unified our cloud visibility across multiple products and built a foundation to scale AI responsibly.
Tim Green, SVP of AI, DaySmart
Collaborative Discovery and Architecture
The partnership began with DoiT's Cloud Accelerators GenAI discovery phase, aligning strategic AI goals with executable technical plans. DoiT designed a modern, serverless architecture built on AWS Lambda, ECS Fargate, API Gateway, CloudWatch, IAM, Secrets Manager, and CDK, unified by an MCP-based data access layer. This created scalable pathways to ingest large datasets, transform them through LLM-driven intelligence, and return actionable insights. The solution implemented a hybrid data approach, retrieving summarized monthly information and selectively diving deeper when needed to reduce noise while preserving accuracy.
Governance and Zero-Engineering Execution
DoiT supported DaySmart in embedding governance aligned to AWS Well-Architected practices, making infrastructure auditable, secure and scalable. Cost exposure from AI loops and usage spikes is detected through CloudWatch and DoiT Cloud Intelligence. A key achievement was enabling DaySmart to launch a functional AI experience without diverting internal engineering resources. DoiT engineered, deployed, and stabilized the initial production system while DaySmart's engineers continued their existing roadmap, shipping an AI capability in ninety days with zero engineering lift.
Results and Future Vision
DaySmart achieved faster time-to-value with 90-day AI delivery, unified cloud visibility across acquired product lines, and operational efficiency without compromising innovation. The new architecture establishes a future-proof foundation for vertical intelligence across all product lines, enabling context-aware insight generation tuned to each industry. The platform supports self-serve analytics, conversational interfaces, and flexible reporting backed by scalable LLM execution. DaySmart plans to expand conversational AI capabilities, embed proactive business coaching, accelerate international deployments, and democratize AI internally for non-technical teams.
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Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.
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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
Luxury Escapes Saves $10K+ /month on AWS
Promptly saves $600K and ships AI in weeks
- $600K
- Annual cloud cost savings
- 3 months
- of engineering time saved
Extenda Retail Cuts SSD Waste, Speeds AI
Wicked Reports Ships GenAI 3 Months Faster
- 3 months saved
- of development time saved using DoiT's Cloud Accelerator
- 25% faster
- prototype-to-production timeline compared to internal estimates
- $0 additional spend
- zero additional infrastructure spend during prototype build thanks to AWS credits and DoiT's optimization
Vivaticket cuts AWS environment setup from 3 days to 15 minutes
- 15min
- Environment creation time
- 15min
- Environment creation time (vs 3 days before)
- 20min
- Application deployment in immutable mode
Blumira scales SOC Auto-Focus with cost control
What they say
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
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.
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