Earny hits 100% uptime, scales to 3M shoppers

DoiT led Earny's migration to Google Cloud Spanner and GKE, eliminating Black Friday outages and enabling elastic scale with lower costs.

Meet Earny

Earny bridges the world between consumers and sellers with an app that helps consumers save money on purchases. The company's research found that lack of online shopping savvy translated to $50 billion in missed savings opportunities. Earny started with automating price protection, reimbursing consumers when products they bought had price reductions after purchase, driving tens of millions of dollars back into customer pockets.

The Challenge

Earny experienced severe outages during consecutive Black Fridays on their legacy cloud infrastructure. The company struggled with scalability issues and lack of production support, with engineers constantly complaining about infrastructure limitations that prevented proper customer service during peak shopping periods.

The Solution

DoiT helped Earny migrate their massive databases to Cloud Spanner and transition from monolithic architecture to microservices on Google Kubernetes Engine. The migration included precise planning for mission-critical systems and close collaboration between engineering teams to ensure seamless data flow and system redesign.

Results

Eliminated system outages and achieved 100% uptime since migration
Enabled automatic scaling that reduces costs during low-traffic periods
Successfully supports 3 million customers with foundation to scale to 10 million
Processes billions of transactions and hundreds of thousands of claims daily

DoiT was integral to this project's success, given the complexity of our systems and huge volume of data. We had many meetings between our engineering teams, which helped streamline implementation a lot. Today all of our user data runs on Cloud Spanner, and we have not had a single problem or outage.
Ilan Zerbib, Founder and Chief Technology Officer

Infrastructure Challenges During Peak Shopping

Earny experienced severe outages during consecutive Black Fridays while on legacy cloud infrastructure, leading to poor customer engagement and lost opportunities. Engineers complained constantly about the infrastructure limitations and lack of production support. After due diligence, the company realized Google Cloud would provide the scalable, flexible environment needed, with incredible support from DoiT.

Database Migration to Cloud Spanner

The first and most complex project was migrating massive databases from SQL server to Google Cloud. DoiT assisted by helping re-define and design data models and flow designs to seamlessly migrate onto Cloud Spanner. The migration required precise planning given the mission-critical nature of the system. Multiple meetings between engineering teams helped streamline implementation.

Microservices Architecture on GKE

After successful database migration, Earny migrated virtual machines from monolithic architecture to microservices on Google Kubernetes Engine. This change generated cost savings by enabling quick scaling up or down based on demands. With hundreds of clients and services, engineers can now work on individual pieces without impacting the overall system.

Stable Platform for Innovation

The combination of Cloud Spanner and GKE, with DoiT's continued support, allows Earny to continue innovating through new feature development and on-the-fly system adjustments. As a startup supporting millions of customers, Earny processes billions of transactions and submits hundreds of thousands of claims daily. System stability and flexibility are crucial for operations.

Future Growth Plans

Earny aims to be the biggest player in online shopping, helping consumers use technology to save money in every possible way. The company envisions millions of shoppers using their app to save millions of dollars for better financial futures. The migration proved well-timed as more people shop online, and the platform scales easily to handle greater demands.

See how DoiT helps cloud teams control spend

Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.

Visit DoiT Talk to our team

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.

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.

Alexander Lundberg Santos, Platform Engineer at Extenda Retail

When we started working with DoiT, we deployed Flexsave to save time and reduce complexity. We still use it today. But what really stands out is the expert support. Having someone to collaborate with on deep cloud cost topics, someone who really understands the nuances, is incredibly valuable.

Jesper Terkelsen, CTO at Monta

DoiT's Cloud Accelerator turned our AI idea into a shipped product, saving at least three months of development and delivering reliable, explainable insights our customers trust.

Scott Desgrosseilliers, CEO and co-founder, Wicked Reports

Your cloud bill shouldn't be a mystery

Let us show you what ships this week.

Book a demo