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Merge pull request #290725 from MSFTeegarden/patch-75
Update managed-redis-overview.md
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articles/azure-cache-for-redis/managed-redis/managed-redis-how-to-scale.md

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@@ -37,9 +37,9 @@ There are four tiers of Azure Managed Redis available, each with different perfo
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Three tiers are for in-memory data:
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- _Memory Optimized_. Ideal for memory-intensive use cases that require a high memory-to-vCPU ratio (1:8) but don't need the highest throughput performance. It provides a lower price point for scenarios where less processing power or throughput is necessary, making it an excellent choice for development and testing environments.
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- _Balanced (Memory + Compute)_. Offers a balanced memory-to-vCPU (1:4) ratio, making it ideal for standard workloads. It provides a healthy balance of memory and compute resources.
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- _Compute Optimized_. Designed for performance-intensive workloads requiring maximum throughput, with a low memory-to-vCPU (1:2) ratio. It's ideal for applications that demand the highest performance.
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- _Memory Optimized_. Ideal for memory-intensive use cases that require a high memory-to-vCPU ratio (8:1) but don't need the highest throughput performance. It provides a lower price point for scenarios where less processing power or throughput is necessary, making it an excellent choice for development and testing environments.
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- _Balanced (Memory + Compute)_. Offers a balanced memory-to-vCPU (4:1) ratio, making it ideal for standard workloads. It provides a healthy balance of memory and compute resources.
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- _Compute Optimized_. Designed for performance-intensive workloads requiring maximum throughput, with a low memory-to-vCPU (2:1) ratio. It's ideal for applications that demand the highest performance.
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One tier stores data both in-memory and on-disk:
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articles/azure-cache-for-redis/managed-redis/managed-redis-overview.md

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@@ -48,9 +48,9 @@ There are four tiers of Azure Managed Redis available, each with different perfo
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Three tiers are for in-memory data:
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- **Memory Optimized** Ideal for memory-intensive use cases that require a high memory-to-vCPU ratio (1:8) but don't need the highest throughput performance. It provides a lower price point for scenarios where less processing power or throughput is necessary, making it an excellent choice for development and testing environments.
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- **Balanced (Memory + Compute)** Offers a balanced memory-to-vCPU (1:4) ratio, making it ideal for standard workloads. This tier provides a healthy balance of memory and compute resources.
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- **Compute Optimized** Designed for performance-intensive workloads requiring maximum throughput, with a low memory-to-vCPU (1:2) ratio. It's ideal for applications that demand the highest performance.
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- **Memory Optimized** Ideal for memory-intensive use cases that require a high memory-to-vCPU ratio (8:1) but don't need the highest throughput performance. It provides a lower price point for scenarios where less processing power or throughput is necessary, making it an excellent choice for development and testing environments.
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- **Balanced (Memory + Compute)** Offers a balanced memory-to-vCPU (4:1) ratio, making it ideal for standard workloads. This tier provides a healthy balance of memory and compute resources.
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- **Compute Optimized** Designed for performance-intensive workloads requiring maximum throughput, with a low memory-to-vCPU (2:1) ratio. It's ideal for applications that demand the highest performance.
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One tier stores data both in-memory and on-disk:
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<!--Kyle [umanag] should On-disk section callout the difference from Persistance which uses attached managed disk too -->

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