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@@ -118,7 +118,33 @@ The following table helps describe some of the features supported by tier:
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### Other considerations when picking a tier
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-**Network performance**: If you have a workload that requires high throughput, network bandwidth might cause a bottleneck. You can increase bandwidth by moving up to a higher performance tier or by moving to a large instance size. Larger size instances have more bandwidth because of the underlying VM that hosts the cache. Higher bandwidth limits help you avoid network saturation that cause time-outs in your application. For more information on bandwidth performance, see [Performance testing](best-practices-performance.md)
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-**Maximum number of client connections**: Each SKU has a maximum number of client connections. This limit increases with higher performance tiers and larger instances sizes. For more information on the limit for each SKU, see [Azure Managed Redis Pricing](https://aka.ms/amrpricing).
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-**Maximum number of client connections**: Each SKU has a maximum number of client connections. This limit increases with higher performance tiers and larger instances sizes. The following table shows the maximum client connections allowed per Azure Managed Redis SKU
-**High availability**: Azure Managed Redis provides multiple [high availability](high-availability.md) options. The SLA only covers connectivity to the cache endpoints. The SLA doesn't cover protection from data loss. For more information on the SLA, see the [SLA](https://azure.microsoft.com/support/legal/sla/cache/v1_0/). It's possible to disable high availability in an Azure Managed Redis instance. This lowers the price but results in data loss and downtime. We only recommend disabling high availability for dev/test scenarios.
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