Category: Amazon ElastiCache

Data is at the center of stateful applications. Data consistency models will vary when choosing in-Region vs. multi-Region. In this post, part 2 of 3, we continue to filter through AWS services to focus on data-centric services with native features to help get your data where it needs to be in support of a multi-Region […]

Deploying global applications has many challenges, especially when accessing a database to build custom pages for end users. One example is an application using AWS Lambda@Edge. Two main challenges include performance and availability. This blog explains how you can optimally deploy a global application with fast response times and without application changes. The Amazon Aurora […]

This 3-part blog series discusses disaster recovery (DR) strategies that you can implement to ensure your data is safe and that your workload stays available during a disaster. In Part I, we’ll discuss the single AWS Region/multi-Availability Zone (AZ) DR strategy. The strategy outlined in this blog post addresses how to integrate AWS managed services […]

Getting the maximum scale from your database often requires fine-tuning the application. This can increase time and incur cost – effort that could be used towards other strategic initiatives. The Heimdall Proxy was designed to intelligently manage SQL connections to help you get the most out of your database. In this blog post, we demonstrate […]

This post was cowritten by Srikanth Kodali, Sr. IoT Data Architect at AWS, and Will Dombrowski, Sr. Data Engineer at Toyota Connected Toyota Connected North America (TC) is a technology/big data company that partners with Toyota Motor Corporation and Toyota Motor North America to develop products that aim to improve the driving experience for Toyota […]

Organizations are re-architecting their traditional monolithic applications to incorporate microservices. This helps them gain agility and scalability and accelerate time-to-market for new features. Each microservice performs a single function. However, a microservice might need to retrieve and process data from multiple disparate sources. These can include data stores, legacy systems, or other shared services deployed […]

In my first blog post of this series, I introduced you to four strategies for disaster recovery (DR). My subsequent posts shared details on the backup and restore, pilot light, and warm standby active/passive strategies. In this post, you’ll learn how to implement an active/active strategy to run your workload and serve requests in two […]

In the last blog, Preparing your Applications for Hypergrowth, we talked about hypergrowth and the technical challenges it presents to companies. As a reminder, we presented an example ecommerce company running a monolithic application on Elastic Compute Cloud (Amazon EC2). This application connects with Amazon Relational Database Service (Amazon RDS). The company recently experienced a […]

Founded in 2008, Dream11 is India’s leading sports-tech startup with a growing base of more than 45 million users playing multiple sports such as fantasy cricket, football, kabaddi, and basketball. Dream11 uses Amazon Aurora with Amazon ElastiCache to serve 1 million concurrent users within 50ms response time, serving at an average 3 million requests per […]

This post was co-written with Lucas Ceballos, CTO of Smadex Introduction Showing ads may seem to be a simple task, but it’s not. Showing the right ad to the right user is an incredibly complex challenge that involves multiple disciplines such as artificial intelligence, data science, and software engineering. Doing it one million times per […]