This walkthrough discusses core strategies to help you cost optimize your Neptune Database architecture.
Overview:
* How pricing works
* Compute
* Storage
* I/Os
* Neptune Notebooks
* How to determine current spend
* AWS Cost Explorer - High-level view
* AWS Cost Explorer - Resource-level view
* How to reduce current spend
* Compute
* Use the latest engine versions
* Use the latest generation of instances
* Set scheduling on dev and test instances
* Right-size instances
* Consider alternative architectures (e.g. caching layer)
* Storage
* Remove unnecessary data, such as data not used for filtering and results, or data outside of its usefulness window
* I/Os
* Address high read I/Os by minimizing buffer cache churn
* Address high write I/Os by utilizing batch writes and/or bulk loads when possible
Resources:
* Neptune Pricing Page: https://aws.amazon.com/neptune/pricing/
* New Amazon Neptune engine version delivers up to 9 times faster and 10 times higher throughput for openCypher query performance: https://go.aws/4idPgKY
* 4.7 times better write query price-performance with AWS Graviton4 R8g instances using Amazon Neptune v1.4.5: https://go.aws/3XF3f38
* Automate the stopping and starting of Amazon Neptune environment resources using resource tags: https://go.aws/4pq8Kia
* AWS Prescriptive Guidance - Applying the AWS Well-Architected Framework for Amazon Neptune: https://go.aws/4ihywCM
* Neptune Serverless Cost Evaluator: https://go.aws/4o5z67T
* Neptune cluster-wide caching architectures with Amazon ElastiCache: https://go.aws/4obJKdg
* Implement Time to Live in Amazon Neptune: https://go.aws/4oQiNgl
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