Applying the AWS Well-Architected Framework for Amazon Neptune Analytics - AWS Prescriptive Guidance
Intended audienceObjectives

Applying the AWS Well-Architected Framework for Amazon Neptune Analytics

Michael Havey, Amazon Web Services (AWS)

December 2024 (document history)

You can build graph-based solutions on Amazon Web Services (AWS) by using Amazon Neptune. Neptune includes Neptune Analytics, a memory-optimized graph analytics engine that can quickly analyze large amounts of graph data to get insights and find trends. It can perform analytics on data in your existing Neptune database cluster, or you can load and analyze data from external datasets. This guide provides prescriptive guidance for applying the AWS Well-Architected Framework principles when you plan your Neptune Analytics deployment. Applying the AWS Well-Architected Framework for Amazon Neptune covers the same topic for a Neptune database.

The AWS Well-Architected Framework helps you build secure, high-performing, resilient, and efficient infrastructures for a variety of applications and workloads. It also provides a consistent approach for you to evaluate architectures and implement scalable designs.

The AWS Well-Architected Framework is built around the following six pillars:

  • Operational excellence

  • Security

  • Reliability

  • Performance efficiency

  • Cost optimization

  • Sustainability

This guide provides information from the Well-Architected Framework design pillars and best practices, and considerations to keep in mind when you deploy Neptune Analytics on AWS.

Intended audience

This guide is intended for data engineers, solutions architects, and data analysts who design and implement solutions that use graphs on AWS.

Objectives

This guide can help you and your organization do the following:

  • Choose from the supported deployment options.

  • Follow the AWS Well-Architected design patterns that help you improve resiliency and security.

  • Design your queries for optimal performance and cost savings.

  • Learn how to be operationally efficient when managing your Neptune Analytics graph in production.