AWS Big Data Blog

Category: Architecture

A dive into redBus’s data platform and how they used Amazon QuickSight to accelerate business insights

This post is co-authored with Girish Kumar Chidananda from redBus. redBus is one of the earliest adopters of AWS in India, and most of its services and applications are hosted on the AWS Cloud. AWS provided redBus the flexibility to scale their infrastructure rapidly while keeping costs extremely low. AWS has a comprehensive suite of services […]

How BookMyShow saved 80% in costs by migrating to an AWS modern data architecture

This is a guest post co-authored by Mahesh Vandi Chalil, Chief Technology Officer of BookMyShow. BookMyShow (BMS), a leading entertainment company in India, provides an online ticketing platform for movies, plays, concerts, and sporting events. Selling up to 200 million tickets on an annual run rate basis (pre-COVID) to customers in India, Sri Lanka, Singapore, […]

Unify log aggregation and analytics across compute platforms

Our customers want to make sure their users have the best experience running their application on AWS. To make this happen, you need to monitor and fix software problems as quickly as possible. Doing this gets challenging with the growing volume of data needing to be quickly detected, analyzed, and stored. In this post, we […]

How to attribute Amazon Redshift costs to your end-users

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. In this two-part series, we discuss how to attribute Amazon Redshift costs at the user and group level. When using Amazon Redshift, you can […]