Category: AWS Well-Architected

Today, we are delighted to introduce the latest version of the AWS Well-Architected Machine Learning (ML) Lens whitepaper. The AWS Well-Architected Framework provides architectural best practices for designing and operating ML workloads on AWS. It is based on six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and—a new addition to this revision—Sustainability. The […]

Most of AWS customers building cloud-native applications or modernizing applications choose containers to run their microservices applications to accelerate innovation and time to market while lowering their total cost of ownership (TCO). Using containers in AWS comes with other benefits, such as increased portability, scalability, and flexibility. The combination of containers technologies and AWS services […]

“Everything fails, all the time” is a famous quote from Amazon’s Chief Technology Officer Werner Vogels. This means that software and distributed systems may eventually fail because something can always go wrong. We have to accept this and design our systems accordingly, test our software and services, and think about all the possible edge cases. […]

We are excited to announce the availability of improved AWS Well-Architected Framework guidance. In this update, we have made changes across all six pillars of the framework: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. A brief history The AWS Well-Architected Framework is a collection of best practices that allow customers to evaluate and improve the design, implementation, and operations […]

Many customers migrate their systems to Amazon Web Services (AWS) to increase their competitive edge and drive business value. To maximize the benefits of a cloud migration, companies tend to move their applications in conjunction with modernization initiatives. These joined efforts help your applications gain more agility, scalability, and resilience. Modernizing the portfolio of workloads […]

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 […]