AOSSUS03-BP01 Use Index State Management to manage the lifecycle of your dataset
Improve data management, meet compliance requirements, and reduce data loss risk by using Index State Management (ISM) to manage the lifecycle of your dataset.
Level of risk exposed if this best practice is not established: Medium
Desired outcome: The lifecycle of the dataset is managed using Index State Management (ISM) to support sustainability goals.
Benefits of establishing this best practice:
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Improved data management and organization
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Enhanced ability to meet data compliance and regulatory requirements
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Reduced risk of data loss or corruption due to proper data lifecycle management
Implementation guidance
ISM removes the necessity for establishing and overseeing external processes to run your index operations. It also allows you to perform operations like moving data from Hot storage to Warm.
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Implement a data classification policy to understand its criticality to business outcomes and choose the right energy-efficient storage tier. Determine criticality, confidentiality, integrity, and availability of data based on risk to the organization.
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Evaluate your data characteristics and access pattern to collect the key characteristics of your storage needs. Key characteristics to consider include:
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Data type: Structured, semistructured, 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, frequency, spiky, or consistent
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Implement an ISM policy to move data between different storage tiers to meet business and regulatory requirements. Additionally, implement an ISM policy to delete unnecessary data. For detailed implementation guidance, see AOSOPS01-BP01.
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