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).

#5: Disaster Recovery with AWS Managed Services, Part I: Single Region

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.

Figure 1. Single Region/multi-AZ with secondary Region for backups

Single Region/multi-AZ with secondary Region for backups

#4: Exploring Data Transfer Costs for AWS Managed Databases

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.

Figure-7.-Amazon-DocumentDB-data-transfer

Amazon DocumentDB data transfer

#3: Simplifying Multi-account CI/CD Deployments using AWS Proton

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.

Figure 4. AWS Proton deploys service into multi-account environment through standardized continuous delivery pipeline

AWS Proton deploys service into multi-account environment through standardized continuous delivery pipeline

#2: Serverless Architecture for a Structured Data Mining Solution

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.

Figure 8. Architecture diagram of entire data collection and classification process

Architecture diagram of entire data collection and classification process

#1: Introducing the new AWS Well-Architected Machine Learning Lens

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.

Figure 2. Machine Learning Lifecycle phases with expanded components

Machine Learning Lifecycle phases with expanded components

Thank you!

Thanks again to all our readers and blog post writers! We look forward to continuing to learn and build amazing things together in 2022.

Other blog posts in this series

Categories: Architecture