9 – Choose the best-performing storage solution
How do you select the best-performing storage options for your workload?
An analytics workload’s optimal storage solution is influenced by several factors such as:
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Compute engine (Amazon EMR, Amazon Redshift, Amazon RDS, and so on)
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Access patterns (random or sequential)
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Required throughput
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Access frequency (online, offline, archival)
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CRUD (create, read, update, delete) operation requirements
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Data durability requirements
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Archival requirements
Choose the best-performing storage solution for your analytics workload’s own characteristics.
| ID | Priority | Best practice |
|---|---|---|
|
☐ BP 9.1 |
Highly recommended | Identify critical performance criteria for your storage workload. |
|
☐ BP 9.2 |
Highly recommended | Identify and evaluate the available storage options for your compute solution. |
|
☐ BP 9.3 |
Recommended | Choose the optimal storage based on access patterns, data growth, and the performance requirements. |
For more details, refer to the following information:
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Amazon Elastic Compute Cloud User Guide for Linux Instances: Amazon EBS volume types
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Amazon Redshift Database Developer Guide: Amazon Redshift best practices for loading data PDF
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Amazon EMR Management Guide: Instance storage
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Amazon Simple Storage Service User Guide: Best practices design patterns: Optimizing Amazon S3 performance
