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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.

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