AWS Architecture Blog
Build a multi-language notification system with Amazon Translate and Amazon Pinpoint
Organizations with global operations can struggle to notify their customers of any business-related announcements or notifications in different languages. Their customers want to receive notifications in their local language and communication preference. Organizations often rely on complicated third-party services or individuals to manually translate the notifications. This can lead to a loss of revenue due […]
Creating a Multi-Region Application with AWS Services – Part 3, Application Management and Monitoring
In Part 1 of this series, we built a foundation for your multi-Region application using AWS compute, networking, and security services. In Part 2, we integrated AWS data and replication services to move and sync data between AWS Regions. In Part 3, we cover AWS services and features used for messaging, deployment, monitoring, and management. […]
Selecting the right database and database migration plan for your workloads
There has been a tectonic shift in the approach to hosting enterprise workloads. Companies are rapidly moving from on-premises data centers to cloud-based services. The driving factor has been the ability to innovate faster on the cloud. Your transition to cloud can be straightforward, but it does go beyond the usual ‘lift-and-shift’ approach. To start […]
Dream11: Blocking application attacks using AWS WAF at scale
As the world’s largest fantasy sports platforms with more than 120 million registered users, Dream11 runs multiple contests simultaneously while processing millions of user requests per minute. Their user-centric and data-driven teams make it a priority to ensure that the Dream11 application (app) remains protected against all kinds of threats and vulnerabilities. Introduction to AWS […]
Insights for CTOs: Part 3 – Growing your business with modern data capabilities
This post was co-wrtiten with Jonathan Hwang, head of Foundation Data Analytics at Zendesk. In my role as a Senior Solutions Architect, I have spoken to chief technology officers (CTOs) and executive leadership of large enterprises like big banks, software as a service (SaaS) businesses, mid-sized enterprises, and startups. In this 6-part series, I share […]
Migration updates announced at re:Invent 2021
re:Invent is a yearly event that offers learning and networking opportunities for the global cloud computing community. 2021 marks the launch of several new features in different areas of cloud services and migration. In this blog, we’ll cover some of the most important recent announcements. AWS Mainframe Modernization (Preview) Mainframe modernization has become a necessity […]
Let’s Architect! Architecting for Blockchain
You’ve likely read about or heard someone talk about blockchain. This distributed and decentralized ledger collects immutable blocks of information and helps secure your data without going through third party. It is commonly used to maintain secure and decentralized records for registries, consensus, cryptocurrencies, and the latest trend: non-fungible tokens (NFTs). This collection of content […]
Deploy Quarkus-based applications using AWS Lambda with AWS SAM
Quarkus offers Java developers the capability of building native images based on GraalVM. A native image is a binary that includes everything: your code, libraries, and a smaller virtual machine (VM). This approach improves the startup time of your AWS Lambda functions, because it is optimized for container-based environments. These use cloud native and serverless […]
Migrating a self-managed message broker to Amazon SQS
Amazon Payment Services is a payment service provider that operates across the Middle East and North Africa (MENA) geographic regions. Our mission is to provide online businesses with an affordable and trusted payment experience. We provide a secure online payment gateway that is straightforward and safe to use. Amazon Payment Services has regional experts in payment […]
Optimize AI/ML workloads for sustainability: Part 2, model development
More complexity often means using more energy, and machine learning (ML) models are becoming bigger and more complex. And though ML hardware is getting more efficient, the energy required to train these ML models is increasing sharply. In this series, we’re following the phases of the Well-Architected machine learning lifecycle (Figure 1) to optimize your […]