Meet Pronti AI
Pronti AI revolutionizes how people engage with fashion by harnessing the power of artificial intelligence. With its innovative mobile application, Pronti AI provides users with tailored outfit recommendations and expert shopping guidance derived from their personal closets, specific occasions, and even their current moods. By allowing users to upload pictures of their clothing items effortlessly, Pronti AI unlocks a world of fashion possibilities, empowering individuals to make informed style decisions and confidently express themselves through their unique sense of fashion. To enhance the experience, Pronti also gives suggestions on items to buy that fit the clothes the user already has.
The Challenge
Pronti AI initially developed its fashion stylist app on AWS, but struggled to scale and right-size resources. As initially set up, Pronti AI's infrastructure was over-provisioned and lacked autoscaling. Additionally, its self-managed Kubernetes database increased risk and maintenance overhead. Together, these challenges drove unnecessary costs and operational complexity. With a small IT team and limited AWS depth, Pronti AI needed a simpler, managed approach—starting with its core cloud footprint.
The Solution
DoiT and Pronti AI started working together at the start of the migration and redesign, which enabled DoiT to pinpoint weaknesses in the previous architecture. Through its review, DoiT identified three critical areas: inflexible resource provisioning, heavy maintenance, and gaps in security. DoiT proposed a simplified Google Cloud architecture that maximized managed and serverless services, shifting operational burden from Pronti AI to the platform and DoiT.
Results
- Increased security and agility with strengthened architecture reducing breach risk and enabling faster change delivery
- Automated testing and deployment improving developer efficiency and release reliability
- Cost optimization through managed and serverless services, eliminating over-provisioning and reducing operational complexity
DoiT's expertise has been invaluable in migrating the application for our core product to Google Cloud Platform. DoiT helped us to anticipate and address scalability, security, and automation challenges, which enhanced our app's security and agility, and optimized its costs. We have already seen increased efficiency resulting in a more productive environment and allowing our team to focus on what matters – developing our product.
Mila Banerjee, CEO
Scalability and Elasticity Solutions
Given rigid provisioning, DoiT first focused on scalability and elasticity. By adding Google Cloud Run, Pronti AI could absorb demand spikes without managing infrastructure. Integrating Cloud Run with Google Cloud Build streamlined CI/CD and autoscaling for APIs, ensuring responsive capacity for varying workloads. To ensure efficient database schema upgrades, DoiT supported Pronti AI in setting up Cloud Run Jobs for database schema upgrades. Isolated, ephemeral runs allowed safe, independent schema changes, minimizing impact on application performance and availability.
Automated CI/CD Integration
To automate build/test/CI/CD for APIs, DoiT's Cloud Reliability Engineers (CREs) recommended integrating Cloud Build with GitHub. This integration kept APIs up to date and eliminated manual deployments. The integration enabled CI/CD, improving developer efficiency. Cloud Build allowed custom build steps and configurations. This flexibility let the team tailor pipelines to its requirements. Build triggers, environment variables, tests, and custom scripts enabled rich customization.
Enhanced Security Architecture
To finalize the migration and optimization, DoiT hardened the security architecture. To enhance security and isolation, DoiT moved the database to internal IPs and connected it via VPC Serverless Connector. This approach reduced attack surface, improved latency, simplified networking, and eased compliance, while integrating cleanly with VPC resources.
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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.
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.
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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.
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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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