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Fixing Azure Advisor link
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articles/cosmos-db/monitor-normalized-request-units.md

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In general, for a production workload using autoscale, if you see between 1-5% of requests with 429s, and your end to end latency is acceptable, this is a healthy sign that the RU/s are being fully utilized. Even if the normalized RU consumption occasionally reaches 100% and autoscale does not scale up to the max RU/s, this is ok because the overall rate of 429s is low. No action is required.
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> [!TIP]
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> If you are using autoscale and find that normalized RU consumption is consistently 100% and you are consistently scaled to the max RU/s, this is a sign that using manual throughput may be more cost-effective. To determine whether autoscale or manual throughput is best for your workload, see [how to choose between standard (manual) and autoscale provisioned throughput](how-to-choose-offer.md). Azure Cosmos DB also sends [Azure Advisor recommendations](../advisor/advisor-cost-recommendations.md#configure-manual-throughput-instead-of-autoscale-on-your-azure-cosmos-db-database-or-container) based on your workload patterns to to recommend either manual or autoscale throughput.
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> If you are using autoscale and find that normalized RU consumption is consistently 100% and you are consistently scaled to the max RU/s, this is a sign that using manual throughput may be more cost-effective. To determine whether autoscale or manual throughput is best for your workload, see [how to choose between standard (manual) and autoscale provisioned throughput](how-to-choose-offer.md). Azure Cosmos DB also sends [Azure Advisor recommendations](../advisor/advisor-reference-cost-recommendations.md#configure-manual-throughput-instead-of-autoscale-on-your-azure-cosmos-db-database-or-container) based on your workload patterns to to recommend either manual or autoscale throughput.
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## View the normalized request unit consumption metric
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