Discount Bank scales PayBox to 1.5M users
DoiT helped the Israeli bank meet Bank of Israel requirements on Google Cloud with GKE autoscaling, KMS encryption, and BigQuery monitoring.
The Challenge
Discount Bank needed to gain Bank of Israel consent to operate PayBox workloads in the cloud while meeting strict banking security requirements. The acquired startup app needed enterprise-grade security features without losing its agility and innovation capabilities.
The Solution
Working with DoiT International, Discount Bank implemented two-step authentication, SSL certification, and database encryption using Key Management Service with Google Kubernetes Engine. They used Compute Engine for regulatory snapshots, BigQuery for transaction monitoring, and GKE for continuous deployment and automatic scaling.
Results
- Gained Bank of Israel approval to operate PayBox in the cloud
- Grew user base from 120,000 to over 1.5 million users
- Achieved 4.8 out of 5 rating on Google Play
- Successfully handles 200% traffic spikes during peak periods
- Deployed new code daily with continuous deployment model
We use BigQuery to monitor all our operations. That means handling large volumes of data, as each transaction generates hundreds of log lines. We've been amazed at how fast BigQuery can generate reports: it's a truly great product.
Guy Tobul, Dev Team Leader
Meeting Banking Security Requirements
Making sure an application is robust and secure is key for any enterprise, but especially when large numbers of transactions are involved. Working with DoiT International, the PayBox team implemented two-step authentication for logins, SSL certification, and database encryption for sensitive data using Key Management Service with Google Kubernetes Engine. These features bring PayBox in line with the broader Discount Bank security ecosystem. The persistent disk snapshot function on Compute Engine helps meet regulatory requirements by creating snapshots of all transactions every 15 minutes and keeping records for seven years.
Achieving Easy Deployment and Scaling
To keep its application up-to-date, PayBox uses a continuous deployment model on GKE, so new code is deployed every day. As its infrastructure deploys multiple pods in parallel, it is easy to isolate any issues that might occur. GKE scales automatically to meet the peaks in demand that PayBox experiences. Traffic varies over the week, since nights and weekends are much quieter, and seasonal peaks occur around holidays and the beginning of the academic year. A peak might mean 200% more traffic, but with GKE, they can easily handle the extra traffic.
Monitoring with BigQuery
PayBox uses BigQuery to monitor the service it provides by analyzing log data. This means handling large volumes of data, as each transaction generates hundreds of log lines. The team has been amazed at how fast BigQuery can generate reports from this massive dataset. To keep important documentation and information in one place, the PayBox team uses G Suite services including Gmail and Drive to share PayBox-related documents.
Growing Through Partnerships
Since acquiring PayBox's operations in Israel, Discount Bank has successfully gained permission to run PayBox as part of the bank and grown its user base significantly from 120,000 to more than 1.5 million users. User satisfaction with the PayBox app is high, with a rating of 4.8 out of 5 for the Android App on Google Play. The bank is now extending functionality through partnerships with major enterprises, including enabling users to top up their Rav-Kav electronic transport cards through the app.
See how DoiT helps cloud teams control spend
Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.
More customer stories
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
DaySmart
DaySmart Ships AI Capability in 90 Days
- 90 days
- From POC to deployment
- 90 days
- From POC to deployment with zero internal engineering time required
- 6x
- Engineers worth of resource saved
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
Luxury Escapes Saves $10K+ 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
DaySmart
DaySmart Ships AI Capability in 90 Days
- 90 days
- From POC to deployment
- 90 days
- From POC to deployment with zero internal engineering time required
- 6x
- Engineers worth of resource saved
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
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.