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Copy file name to clipboardExpand all lines: articles/active-directory/manage-apps/f5-big-ip-oracle-jde-easy-button.md
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ms.collection: M365-identity-device-management
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# Tutorial: Configure F5’s BIG-IP Easy Button for SSO to Oracle JDE
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# Tutorial: Configure F5’s BIG-IP Easy Button for SSO to Oracle JDE
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In this article, learn to secure Oracle JD Edwards (JDE) using Azure Active Directory (Azure AD), through F5’s BIG-IP Easy Button guided configuration.
Copy file name to clipboardExpand all lines: articles/azure-cache-for-redis/cache-best-practices-memory-management.md
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ms.topic: conceptual
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ms.date: 03/22/2022
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ms.author: franlanglois
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# Memory management
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## Eviction policy
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- The `maxfragmentationmemory-reserved` setting configures the amount of memory, in MB per instance in a cluster, that is reserved to accommodate for memory fragmentation. When you set this value, the Redis server experience is more consistent when the cache is full or close to full and the fragmentation ratio is high. When memory is reserved for such operations, it's unavailable for storage of cached data. The allowed range for `maxfragmentationmemory-reserved` is 10% - 60% of `maxmemory`. If you try to set these values lower than 10% or higher than 60%, they are re-evaluated and set to the 10% minimum and 60% maximum. The values are rendered in megabytes.
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- One thing to consider when choosing a new memory reservation value (`maxmemory-reserved` or `maxfragmentationmemory-reserved`) is how this change might affect a cache with large amounts of data in it that is already running. For instance, if you have a 53-GB cache with 49 GB of data and then change the reservation value to 8 GB, the max available memory for the system will drop to 45 GB. If either your current `used_memory` or your `used_memory_rss` values are higher than the new limit of 45 GB, then the system must evict data until both `used_memory` and `used_memory_rss` are below 45 GB. Eviction can increase server load and memory fragmentation. For more information on cache metrics such as `used_memory` and `used_memory_rss`, see [Available metrics and reporting intervals](cache-how-to-monitor.md#available-metrics-and-reporting-intervals).
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- One thing to consider when choosing a new memory reservation value (`maxmemory-reserved` or `maxfragmentationmemory-reserved`) is how this change might affect a cache with large amounts of data in it that is already running. For instance, if you have a 53-GB cache with 49 GB of data and then change the reservation value to 8 GB, the max available memory for the system will drop to 45 GB. If either your current `used_memory` or your `used_memory_rss` values are higher than the new limit of 45 GB, then the system must evict data until both `used_memory` and `used_memory_rss` are below 45 GB. Eviction can increase server load and memory fragmentation. For more information on cache metrics such as `used_memory` and `used_memory_rss`, see [Create your own metrics](cache-how-to-monitor.md#create-your-own-metrics).
Copy file name to clipboardExpand all lines: articles/azure-cache-for-redis/cache-configure.md
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### Activity log
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Select **Activity log** to view actions done to your cache. You can also use filtering to expand this view to include other resources. For more information on working with audit logs, see [Audit operations with Resource Manager](../azure-monitor/essentials/activity-log.md). For more information on monitoring Azure Cache for Redis events, see [alerts](cache-how-to-monitor.md#alerts).
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Select **Activity log** to view actions done to your cache. You can also use filtering to expand this view to include other resources. For more information on working with audit logs, see [Audit operations with Resource Manager](../azure-monitor/essentials/activity-log.md). For more information on monitoring Azure Cache for Redis events, see [Create alerts](cache-how-to-monitor.md#create-alerts).
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### Access control (IAM)
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The **maxfragmentationmemory-reserved** setting configures the amount of memory in MB per instance in a cluster that is reserved to accommodate for memory fragmentation. When you set this value, the Redis server experience is more consistent when the cache is full or close to full and the fragmentation ratio is high. When memory is reserved for such operations, it's unavailable for storage of cached data. The minimum and maximum values on the slider are 10% and 60%, shown in megabytes. You must set the value in that range.
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When choosing a new memory reservation value (**maxmemory-reserved** or **maxfragmentationmemory-reserved**), consider how this change might affect a cache that is already running with large amounts of data in it. For instance, if you have a 53-GB cache with 49 GB of data, then change the reservation value to 8 GB, this change drops the max available memory for the system down to 45 GB. If either your current `used_memory` or your `used_memory_rss` values are higher than the new limit of 45 GB, then the system will have to evict data until both `used_memory` and `used_memory_rss` are below 45 GB. Eviction can increase server load and memory fragmentation. For more information on cache metrics such as `used_memory` and `used_memory_rss`, see [Available metrics and reporting intervals](cache-how-to-monitor.md#available-metrics-and-reporting-intervals).
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When choosing a new memory reservation value (**maxmemory-reserved** or **maxfragmentationmemory-reserved**), consider how this change might affect a cache that is already running with large amounts of data in it. For instance, if you have a 53-GB cache with 49 GB of data, then change the reservation value to 8 GB, this change drops the max available memory for the system down to 45 GB. If either your current `used_memory` or your `used_memory_rss` values are higher than the new limit of 45 GB, then the system will have to evict data until both `used_memory` and `used_memory_rss` are below 45 GB. Eviction can increase server load and memory fragmentation. For more information on cache metrics such as `used_memory` and `used_memory_rss`, see [Create your own metrics](cache-how-to-monitor.md#create-your-own-metrics).
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> [!IMPORTANT]
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> The **maxmemory-reserved** and **maxfragmentationmemory-reserved** settings are available only for Standard and Premium caches.
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For more information, see [Redis Keyspace Notifications](https://redis.io/topics/notifications). For sample code, see the [KeySpaceNotifications.cs](https://github.com/rustd/RedisSamples/blob/master/HelloWorld/KeySpaceNotifications.cs) file in the [Hello world](https://github.com/rustd/RedisSamples/tree/master/HelloWorld) sample.
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<aname="recommendations"></a>
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## Azure Cache for Redis Advisor
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The **Azure Cache for Redis Advisor** on the left displays recommendations for your cache. During normal operations, no recommendations are displayed.
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You can monitor these metrics on the [Monitoring charts](cache-how-to-monitor.md#monitoring-charts) and [Usage charts](cache-how-to-monitor.md#usage-charts) sections of the **Azure Cache for Redis** on the left.
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You can monitor these metrics on the [Monitoring](cache-how-to-monitor.md) section of the Resource menu on the left.
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Each pricing tier has different limits for client connections, memory, and bandwidth. If your cache approaches maximum capacity for these metrics over a sustained period of time, a recommendation is created. For more information about the metrics and limits reviewed by the **Recommendations** tool, see the following table:
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| Azure Cache for Redis metric | More information |
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| --- | --- |
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| Network bandwidth usage |[Cache performance - available bandwidth](./cache-planning-faq.yml#azure-cache-for-redis-performance)|
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| Connected clients |[Default Redis server configuration - max clients](#maxclients)|
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| Server load |[Usage charts - Redis Server Load](cache-how-to-monitor.md#usage-charts)|
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| Server load |[Redis Server Load](cache-how-to-monitor.md#view-cache-metrics)|
To upgrade your cache, select **Upgrade now** to change the pricing tier and [scale](#scale) your cache. For more information on choosing a pricing tier, see [Choosing the right tier](cache-overview.md#choosing-the-right-tier)
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### Alert rules
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Select **Alert rules** to configure alerts based on Azure Cache for Redis metrics. For more information, see [Alerts](cache-how-to-monitor.md#alerts).
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Select **Alert rules** to configure alerts based on Azure Cache for Redis metrics. For more information, see [Create alerts](cache-how-to-monitor.md#create-alerts).
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### Diagnostics
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By default, cache metrics in Azure Monitor are [stored for 30 days](../azure-monitor/essentials/data-platform-metrics.md) and then deleted. To persist your cache metrics for longer than 30 days, select **Diagnostics** to [configure the storage account](cache-how-to-monitor.md#export-cache-metrics) used to store cache diagnostics.
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By default, cache metrics in Azure Monitor are [stored for 30 days](../azure-monitor/essentials/data-platform-metrics.md) and then deleted. To persist your cache metrics for longer than 30 days, select **Diagnostics** to [configure the storage account](cache-how-to-monitor.md#use-a-storage-account-to-export-cache-metrics) used to store cache diagnostics.
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>[!NOTE]
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>In addition to archiving your cache metrics to storage, you can also [stream them to an Event hub or send them to Azure Monitor logs](../azure-monitor/essentials/stream-monitoring-data-event-hubs.md).
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