CASE STUDY OF AWS CUSTOMER

BYJU’S Case Study

BYJU’S has made a big impact on the online learning world since its launch in 2015.
The India-based mobile learning app, created by Byju Raveendran—a teacher by choice and entrepreneur by chance—is now used by more than 15 million students and has 900,000 paying subscribers.
BYJU’S The Learning App helps teach children to absorb the culture of learning on their own rather than being spoon-fed, and is reinventing how students learn in the age of mobile devices.

BYJU’S runs its website and mobile apps on Amazon Elastic Compute Cloud (Amazon EC2) instances.
The company uses Amazon Relational Database Service (Amazon RDS) for PostgreSQL as its primary database service, and it stores presentations and other educational content in Amazon Simple Storage Service (Amazon S3) buckets.

For data analytics, BYJU’S takes advantage of the Amazon Redshift fully managed data warehouse to analyze app and website user data through the company’s existing business-intelligence software tools.
Using Amazon Redshift, BYJU’S can evaluate student feedback and capitalize on those insights to provide a more personalized learning experience.

In AWS, BYJU’S has a reliable and scalable cloud environment for hosting its website and mobile learning apps, allowing the company to scale on demand as the business keeps growing.
“We now have more than 15 million students using the BYJU’S mobile app, and we could not support that number without being on AWS,” says Prakash Ramachandran, chief technology officer at BYJU’S

McDonald’s Case Study

McDonalds

McDonald’s Corporation, an American hamburger and fast food restaurant chain, serves 69 million customers each day.
Using Amazon Web Services (AWS), it transformed itself into a digital technology company that was able to beat performance targets by up
to 66 percent and complete 8,600 transactions per second via its point-of-sale (POS) system._____

McDonald’s has scaled its digital capabilities across the globe through Kiosks, Digital Menu Boards, Mobile Order and Pay, and Delivery.
The company is also building out its Global Data Platform on AWS, using Amazon Redshift, Amazon Athena, and Amazon EMR, and has started a pilot with Amazon Elastic Kubernetes Service (Amazon EKS).

Grofers Case Study

Grofers

Grofers seeks to make grocery shopping more convenient and efficient for consumers, offering an online grocery-ordering platform via web and mobile to customers across 32 Indian cities.
The business manages a network of over 10,000 partner stores to run a fast and lean supply chain, delivering 30 million products to customers every month.

The Grofers platform runs on the Amazon Web Services (AWS) Cloud, with its Kubernetes infrastructure running on Amazon Elastic Compute Cloud (Amazon EC2) instances.
However, the company wanted to simplify its processes. The goal was to focus on automating application deployment and scaling as well as on reducing management overhead and incidents due to mismanagement or misconfiguration of Kubernetes.

After consulting with its AWS account management team, Grofers found its answer by shifting from Kops to Amazon Elastic Kubernetes Service (Amazon EKS),
a fully managed Kubernetes solution. With Amazon EKS, Grofers streamlined its management process—bringing administration time down to almost zero—so developers have more capacity to write code.
Since Grofers migrated to Amazon EKS, the business has not experienced any network jitter or latency issues.

Through automation and reduced management time, as well as the ability of developers to self-serve staging environments to eliminate queues, development processes are now quicker.
For instance, large-scale software releases for Grofers’ mobile apps can now be completed in seven days, when they previously could take up to 45 days.

OYO Rooms Case Study

oyo-696x392

OYO Hotels & Homes is the world’s third-largest chain of hotels, homes, managed living- and workspaces. The portfolio combines fully operated real estate comprising more than 23,000+ hotels and 125,000 vacation homes.

OYO Rooms uploaded its applications’ code to AWS Elastic Beanstalk to automate deployment and provisioning.
It made Amazon Relational Database Services (Amazon RDS) the main database—which currently holds 150 terabytes of data—for bookings, hotel services, accounting, and customer account information.

The startup is currently re-architecting its application for microservices and plans to use Amazon Elastic Container Service for Kubernetes (Amazon EKS) for container orchestration.
“The adoption of services like Amazon EKS is helping us accelerate the pace of development by optimizing costs and reducing management overhead.
We expect Amazon EKS to cut infrastructure management time by 50 percent,” says Jagbir Singh, senior tech leader at OYO Rooms.