AWS Architecture Blog

Category: Amazon Aurora

How GraphQL works

What to consider when modernizing APIs with GraphQL on AWS

In the next few years, companies will build over 500 million new applications, more than has been developed in the previous 40 years combined (see IDC article). API operations enable innovation. They are the “front door” to applications and microservices, and an integral layer in the application stack. In recent years, GraphQL has emerged as […]

Launchmetrics backend architecture

How Launchmetrics improves fashion brands performance using Amazon EC2 Spot Instances

Launchmetrics offers its Brand Performance Cloud tools and intelligence to help fashion, luxury, and beauty retail executives optimize their global strategy. Launchmetrics initially operated their whole infrastructure on-premises; however, they wanted to scale their data ingestion while simultaneously providing improved and faster insights for their clients. These business needs led them to build their architecture […]

Contemporary architecture with Amazon EKS and Aurora Serverless v2 (Postgres)

How Facteus improved Quantamatics performance by adopting Amazon Aurora Serverless and Amazon EKS

Facteus Inc. is a leading provider of actionable insights from sensitive transaction data. Facteus safely transforms raw financial transaction data from legacy technologies into actionable information, without compromising data privacy, through its innovative synthetic data process. Quantamatics is one of Facteus’ core product offering. Quantamatics accelerates the time it takes a user to go from […]

High availability in a single Region with Microsoft SQL Database Service on Amazon EC2

Considerations for modernizing Microsoft SQL database service with high availability on AWS

Many organizations have applications that require Microsoft SQL Server to run relational database workloads: some applications can be proprietary software that the vendor mandates Microsoft SQL Server to run database service; the other applications can be long-standing, home-grown applications that included Microsoft SQL Server when they were initially developed. When organizations migrate applications to AWS, […]

Replication across three Availability Zones with Amazon Aurora DB cluster

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 […]

Zendesk data pipelines

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 […]

Figure 1. Architecture diagram of QsrSoft TV solution

QsrSoft launches Digital Huddle Board in 3 months with AWS serverless and Fire devices

QsrSoft is a software as a service (SaaS) company that develops solutions for clients in the restaurant, hospitality, and retail industries to help them achieve operational excellence. QsrSoft has provided these services for more than two decades and now services over 14,000 locations. QsrSoft started using AWS in 2015 and fully migrated all their workloads […]

Building an application with AWS multi-Region services using services covered in Part 1

Creating a Multi-Region Application with AWS Services – Part 2, Data and Replication

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 […]

Figure 1. Heimdall Proxy architecture

Using Amazon Aurora Global Database for Low Latency without Application Changes

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 […]

Amazon RDS data transfer

Exploring Data Transfer Costs for AWS Managed Databases

When selecting managed database services in AWS, it’s important to understand how data transfer charges are calculated – whether it’s relational, key-value, document, in-memory, graph, time series, wide column, or ledger. This blog will outline the data transfer charges for several AWS managed database offerings to help you choose the most cost-effective setup for your […]