SUS03-BP05 Use software patterns and architectures that best
support data access and storage patterns
Understand how data is used within your workload, consumed by your users, transferred, and stored. Use software patterns and architectures that best support data access and storage to minimize the compute, networking, and storage resources required to support the workload.
Common anti-patterns:
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You assume that all workloads have similar data storage and access patterns.
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You only use one tier of storage, assuming all workloads fit within that tier.
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You assume that data access patterns will stay consistent over time.
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Your architecture supports a potential high data access burst, which results in the resources remaining idle most of the time.
Benefits of establishing this best practice: Selecting and optimizing your architecture based on data access and storage patterns will help decrease development complexity and increase overall utilization. Understanding when to use global tables, data partitioning, and caching will help you decrease operational overhead and scale based on your workload needs.
Level of risk exposed if this best practice is not established: Medium
Implementation guidance
Use software and architecture patterns that aligns best to your data characteristics and access patterns. For example, use modern data architecture on AWS
Implementation steps
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Analyze your data characteristics and access patterns to identify the correct configuration for your cloud resources. Key characteristics to consider include:
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Data type: structured, semi-structured, unstructured
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Data growth: bounded, unbounded
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Data durability: persistent, ephemeral, transient
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Access patterns reads or writes, update frequency, spiky, or consistent
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Use architecture patterns that best support data access and storage patterns.
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Use technologies that work natively with compressed data.
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Use purpose-built analytics services
for data processing in your architecture. -
Use the database engine that best supports your dominant query pattern. Manage your database indexes to ensure efficient querying. For further details, see AWS Databases
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Select network protocols that reduce the amount of network capacity consumed in your architecture.
Resources
Related documents:
Related videos:
