BankBazaar Migrates to AWS for Faster Innovation and Builds Video-Based KYC App in Two Months
Driving Technical Alignment with AWS
With AWS, we can share the risks around the sensitive data that we hold. There is a level of security infrastructure AWS provides that gives us peace of mind.”
Vijay Santhosh Rao
Vice President of Engineering, BankBazaar
Going Live with a Kubernetes Cluster in 3 Hours
Migrating 78 Systems in One Month
Decreasing Latency from 5.5 Seconds to 3 Milliseconds
Building a Video-Based Know Your Customer Application in Two Months
With AWS, the business can focus on its core functions rather than on the lower end of the technology stack where it does not have domain expertise or resources. “By offloading infrastructure and management to the AWS Cloud, we can release updates and new products and services much faster,” says Sridharan.
One innovation launched in July 2020 is BankBazaar’s video Know Your Customer (KYC) application. Before the pandemic, regulators in India required banks to physically meet customers before onboarding them. When video was allowed as an alternative to physical meetings, BankBazaar built its video KYC application on Amazon Kinesis, in just two months.
Venkatesh Jayaraman, Vice President Engineering at BankBazaar, concludes, “Building our video KYC application consisted of two parts: the foundational piece, which supports audio and video, and the customer onboarding process for the KYC and how to do it seamlessly. With our foundation in AWS, we were able to solely focus on the customer journey instead of worrying about the infrastructure.”
To learn more, visit aws.amazon.com/products/databases/migrations.
- Reduces average latency by 82%
- Migrates 78 systems in one month
- Achieves 99.9999% availability
- Develops and launches video KYC solution in two months
- Reduces load times to 0.9 seconds
- Stabilizes failing Kubernetes cluster with move to cloud
AWS Services Used
Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.
Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning (ML) applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto.
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information.
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service.
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