Category: AWS Well-Architected

Data architectures were mainly designed around technologies rather than business domains in the past. This changed in 2019, when Zhamak Dehghani introduced the data mesh. Data mesh is an application of the Domain-Driven-Design (DDD) principles to data architectures: Data is organized into data domains and the data is the product that the team owns and […]

Tools, such as diagramming software, low-code applications, and frameworks, make it possible to experiment quickly. They are essential in today’s fast-paced and technology-driven world. From improving efficiency and accuracy, to enhancing collaboration and creativity, a well-defined set of tools can make a significant impact on the quality and success of a project in the area […]

This post was originally published in June 2022 and is now updated with more information on efficiently architecting resilient patterns in the cloud. Architecting workloads for resilience on the cloud often need to evaluate multiple factors before they can decide the most optimal architecture for their workloads. Example Corp has multiple applications with varying criticality, […]

When building a Customer Data Platform (CDP), advertising and marketing Independent Software Vendors (ISVs) face a unique set of challenges. The ISV can help organizations with the heavy lifting required to build, secure, and maintain near real-time, high volume CDPs. However, architecting CDPs using traditional on-premises technologies can introduce multiple complexities and can limit deployment […]

The deprecation of digital consumer identifiers, such as third-party cookies and mobile advertising IDs, and the rapid growth of data from expanding consumer touchpoints, has created challenges in identifying, managing, and reaching customers in digital channels. Organizations must rethink their strategies for collecting and storing customer data. Customer Data Platforms (CDPs) collect, aggregate, and organize […]

In the first part of this blog series, Optimize your modern data architecture for sustainability: Part 1 – data ingestion and data lake, we focused on the 1) data ingestion, and 2) data lake pillars of the modern data architecture. In this blog post, we will provide guidance and best practices to optimize the components […]

The Amazon Web Services (AWS) Cloud is a constantly expanding network of Regions and points of presence (PoP), with a global network infrastructure linking them together. The choice of Regions for your workload significantly affects your workload KPIs, including performance, cost, and carbon footprint. The Well-Architected Framework’s sustainability pillar offers design principles and best practices […]

In this blog, we will explain how the new AWS Well-Architected integration with AWS Trusted Advisor can give you insights to accelerate your cloud optimization. Customers that have the most success in their cloud adoption recognize that optimizing their cloud architecture and operations is not a one-time effort. Optimization is a continuous improvement virtuous cycle […]

The modern data architecture on AWS focuses on integrating a data lake and purpose-built data services to efficiently build analytics workloads, which provide speed and agility at scale. Using the right service for the right purpose not only provides performance gains, but facilitates the right utilization of resources. Review Modern Data Analytics Reference Architecture on […]

The following is an early preview of new guidance to be published as part of updates to the AWS Well-Architected content: Chaos Engineering enables us to find shortcomings before our customers find them and therefore, provides us with the opportunity to create a better customer experience. Chaos Engineering does not introduce chaos into your systems, […]