Top 5 Architecture Blog Posts for Q4 2021
The goal of the AWS Architecture Blog is to highlight best practices and provide architectural guidance. We publish thought leadership and how-to pieces that encourage readers to discover other technical documentation such as solutions and managed solutions, other AWS blogs, videos, reference architectures, whitepapers, and guides, training and certification, case studies, and the AWS Architecture Monthly Magazine. We welcome your contributions!
A big thank you to you, our readers, for spending time on our blog this past quarter. Of course, we wouldn’t have content for you to read without our hard-working writers either, so thank you to them as well!
Without further ado, the following five posts were the top Architecture Blog posts published in Q4 (October through December 2021).
by Dhruv Bakshi and Brent Kim
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. Part I discusses the single AWS Region/multi-Availability Zone (AZ) DR strategy.
by Dennis Schmidt, Sebastian Gorczynski, and Birender Pal
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 outlines the data transfer charges for several AWS managed database offerings to help you choose the most cost-effective setup for your workload.
by Marvin Fernandes and Abi Betancourt
This blog shows you how to simplify multi-account deployments in an environment that is segregated between platform and development teams. It shows you how you can use one consistent and standardized continuous delivery pipeline with AWS Proton.
by Uri Rotem
This post shows a pipeline of services, built on top of a serverless architecture that locate, collect, and unify data. This architecture supports large-scale datasets. Because it is a serverless solution, it is also secure and cost effective.
by Haleh Najafzadeh
This whitepaper provides you with a set of established cloud and technology agnostic best practices. You can apply this guidance and architectural principles when designing your machine learning workloads, or after your workloads have entered production as part of continuous improvement. The paper includes guidance and resources to help you implement these best practices on AWS.
Thanks again to all our readers and blog post writers! We look forward to continuing to learn and build amazing things together in 2022.