# Design principles arranged by pillar
<a name="design-principles-by-pillar"></a>

These are the design principles outlined in this paper organized by pillar of the AWS Well-Architected Framework.

## [Operational excellence](operational-excellence.md)
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+ [1 – Monitor the health of the analytics application workload](design-principle-1.md)
+ [2 – Modernize deployment of the analytics jobs and applications](design-principle-2.md)

## [Security](security.md)
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+ [3 – Designing data platforms for governance and compliance](design-principle-3.md)
+ [4 – Implement data access control](design-principle-4.md)
+ [5 – Control the access to workload infrastructure](design-principle-5.md)

## [Reliability](reliability.md)
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+ [6 – Design resilience for analytics workload](design-principle-6.md)
+ [7 – Govern data and metadata changes](design-principle-7.md)

## [Performance efficiency](performance-efficiency.md)
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+ [8 – Choose the best-performing compute solution](design-principle-8.md)
+ [9 – Choose the best-performing storage solution](design-principle-9.md)
+ [10 – Choose the best-performing file format and partitioning](design-principle-10.md)

## [Cost optimization](cost-optimization.md)
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+ [11 – Choose cost-effective compute and storage solutions based on workload usage patterns](design-principle-11.md)
+ [12 – Build financial accountability models for data and workload usage](design-principle-12.md)
+ [13 – Manage cost over time](design-principle-13.md)
+ [14 – Use optimal pricing models based on infrastructure usage patterns](design-principle-14.md)

## [Sustainability](sustainability.md)
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+ [15 – Sustainability implementation guidance](design-principle-15.md)