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Copy file name to clipboardExpand all lines: articles/api-management/api-management-howto-properties.md
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@@ -43,6 +43,8 @@ Using key vault secrets is recommended because it helps improve API Management s
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* Granular [access policies](/azure/key-vault/general/security-features#privileged-access) can be applied to secrets
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* Secrets updated in the key vault are automatically rotated in API Management. After update in the key vault, a named value in API Management is updated within 4 hours. You can also manually refresh the secret using the Azure portal or via the management REST API.
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> [!NOTE]
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> The secrets stored in Azure Key Vault must be between 1 and 4096 characters, as API Management cannot retrieve values that exceed this limit.
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## Prerequisites
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* If you have not created an API Management service instance yet, see [Create an API Management service instance](get-started-create-service-instance.md).
Copy file name to clipboardExpand all lines: articles/api-management/virtual-network-injection-resources.md
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***/25 subnet**: 128 possible IP addresses - 5 reserved Azure IP addresses - 2 API Management IP addresses for one instance - 1 IP address for internal load balancer, if used in internal mode = 120 remaining IP addresses left for 60 scale-out units (2 IP addresses/scale-out unit) for a total of 61 units. This is a large, theoretical number of scale-out units.
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> [!NOTE]
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> It is currently possible to scale the Premium SKU to 31 units. If you foresee demand approaching this limit, consider the /26 subnet or /25 submit.
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> It is currently possible to scale the Premium SKU to 31 units. If you foresee demand approaching this limit, consider the /26 subnet or /25 subnet.
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> [!IMPORTANT]
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> The private IP addresses of internal load balancer and API Management units are assigned dynamically. Therefore, it is impossible to anticipate the private IP of the API Management instance prior to its deployment. Additionally, changing to a different subnet and then returning might cause a change in the private IP address.
Providing a chat ID is mandatory for making group calls and adding participants to existing calls. Associated chat and call have a separate list of participants. Before adding participants to the call, add the user to the chat to provide the best user experience and satisfy information barrier requirements. Adding a user to the call without adding the user to the chat can result in exceptions if an information barrier is set up.
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>[!IMPORTANT]
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> The optional Chat ID is only available in [1.29.1](https://www.npmjs.com/package/@azure/communication-calling/v/1.29.1) or later of the Calling SDK for JavaScript. If you're using an earlier version, ensure you provide a unique thread ID manually.
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Providing a chat ID is optional for making group calls and adding participants to existing calls. Associated chat and call have a separate list of participants. Before adding participants to the call, add the user to the chat to provide the best user experience and satisfy information barrier requirements. Adding a user to the call without adding the user to the chat can result in exceptions if an information barrier is set up.
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Consider the following scenario, where Alice makes a call to Bob, then Alice adds Charlie, and 3 minutes later, Alice removes Charlie from the call.
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If Teams user stops call recording, the recording is placed into the chat associated with the thread. Provided chat ID impacts the experience of Teams users in Teams clients.
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Recommendations for the management of chat ID:
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- Escalation of the 1:1 phone call by adding another phone participant: Use Graph API to get the existing chat ID with only Teams user as a participant or create a new group chat with participants: Teams user ID and "00000000-0000-0000-0000-000000000000".
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- Group call with single Teams user and multiple phone participants: Use Graph API to get existing chat ID with only Teams user as a participant or create a new group chat with participants: Teams user ID and "00000000-0000-0000-0000-000000000000".
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- Group call with more than 2 Teams users: Use Graph API to get or create a group chat with the Teams users.
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- Escalation of the 1:1 phone call by adding another phone participant:
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* Method `addParticipant` allows you to provide optional parameter thread ID. If the parameter isn't provided, then a new group chat is created, and all participants are added to the call and chat participants list. If the parameter is provided, then Teams users can see ongoing call associated to this group chat in Teams app. You can create new group chat via Graph API.
- Start group call with single Microsoft 365 user and multiple phone participants:
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* Method `startCall`API allows you to start a group call with multiple participants and optionally provide thread ID. If the parameter isn't provided, then a new group chat is created, and all Microsoft 365 participants are added to the call and chat participants list. If the parameter is provided, then Teams users can see ongoing call associated to this group chat in Teams app. You can create new group chat via Graph API.
* Use Graph API to get existing chat ID with only Teams user as a participant or create a new group chat with participants: Teams user ID and "00000000-0000-0000-0000-000000000000".
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- Start group call with more than 2 Microsoft 365 users:
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* (Optional way) When making a group call with more than 2 Microsoft 365 users using ACS Calling SDK, the SDK will automatically create the thread by default.
* If desired, the developer can provide a unique thread ID to start the group call or add participants. In this case, the ACS Calling SDK will use the given thread ID to create the group call. A chat thread is created for the Teams users and this thread is associated to the group call for users in Teams app. This allows them to chat during the call. Chat thread management can be done via [Graph API](/graph/api/group-post-threads)
Copy file name to clipboardExpand all lines: articles/iot-operations/manage-mqtt-broker/howto-configure-tls-manual.md
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1. Create a full server certificate chain, where the order of the certificates matters: the server certificate is the first one in the file, the intermediate is the second.
Copy file name to clipboardExpand all lines: articles/network-watcher/nsg-flow-logs-overview.md
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@@ -6,7 +6,7 @@ author: halkazwini
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ms.author: halkazwini
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ms.service: azure-network-watcher
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ms.topic: concept-article
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ms.date: 09/26/2024
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ms.date: 10/16/2024
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#CustomerIntent: As an Azure administrator, I want to learn about NSG flow logs so that I can log my network traffic to analyze and optimize the network performance.
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Network security group (NSG) flow logging is a feature of Azure Network Watcher that allows you to log information about IP traffic flowing through a [network security group](../virtual-network/network-security-groups-overview.md). Flow data is sent to Azure Storage from where you can access it and export it to any visualization tool, security information and event management (SIEM) solution, or intrusion detection system (IDS) of your choice.
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:::image type="content" source="./media/nsg-flow-logs-overview/nsg-flow-logs-portal.png" alt-text="Screenshot showing Network Watcher NSG flow logs page in the Azure portal.":::
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## Why use flow logs?
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It's vital to monitor, manage, and know your own network so that you can protect and optimize it. You need to know the current state of the network, who's connecting, and where users are connecting from. You also need to know which ports are open to the internet, what network behavior is expected, what network behavior is irregular, and when sudden rises in traffic happen.
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### Log tuple and bandwidth calculation
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:::image type="content" source="./media/nsg-flow-logs-overview/tuple.png" alt-text="Screenshot that shows an example of a flow log tuple." lightbox="./media/nsg-flow-logs-overview/tuple.png":::
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Here's an example bandwidth calculation for flow tuples from a TCP conversation between 185.170.185.105:35370 and 10.2.0.4:23:
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Here's an example of bandwidth calculation for flow tuples from a TCP conversation between `203.0.113.105:35370` and `10.0.0.5:443`:
For continuation (`C`) and end (`E`) flow states, byte and packet counts are aggregate counts from the time of the previous flow's tuple record. In the example conversation, the total number of packets transferred is 1021+52+8005+47 = 9125. The total number of bytes transferred is 588096+29952+4610880+27072 = 5256000.
Copy file name to clipboardExpand all lines: articles/sentinel/billing-reduce-costs.md
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## Optimize Log Analytics costs with dedicated clusters
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If you ingest at least 500 GB into your Microsoft Sentinel workspace or workspaces in the same region, consider moving to a Log Analytics dedicated cluster to decrease costs. A Log Analytics dedicated cluster Commitment Tier aggregates data volume across workspaces that collectively ingest a total of 500 GB or more. For more information, see [Simplified pricing tier for dedicated cluster](enroll-simplified-pricing-tier.md#simplified-pricing-tiers-for-dedicated-clusters).
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If you ingest at least 100 GB into your Microsoft Sentinel workspace or workspaces in the same region, consider moving to a Log Analytics dedicated cluster to decrease costs. A Log Analytics dedicated cluster Commitment Tier aggregates data volume across workspaces that collectively ingest a total of 100 GB or more. For more information, see [Simplified pricing tier for dedicated cluster](enroll-simplified-pricing-tier.md#simplified-pricing-tiers-for-dedicated-clusters).
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You can add multiple Microsoft Sentinel workspaces to a Log Analytics dedicated cluster. There are a couple of advantages to using a Log Analytics dedicated cluster for Microsoft Sentinel:
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- Cross-workspace queries run faster if all the workspaces involved in the query are in the dedicated cluster. It's still best to have as few workspaces as possible in your environment, and a dedicated cluster still retains the [100 workspace limit](/azure/azure-monitor/logs/cross-workspace-query) for inclusion in a single cross-workspace query.
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- All workspaces in the dedicated cluster can share the Log Analytics Commitment Tier set on the cluster. Not having to commit to separate Log Analytics Commitment Tiers for each workspace can allow for cost savings and efficiencies. By enabling a dedicated cluster, you commit to a minimum Log Analytics Commitment Tier of 500-GB ingestion per day.
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- All workspaces in the dedicated cluster can share the Log Analytics Commitment Tier set on the cluster. Not having to commit to separate Log Analytics Commitment Tiers for each workspace can allow for cost savings and efficiencies. By enabling a dedicated cluster, you commit to a minimum Log Analytics Commitment Tier of 100-GB ingestion per day.
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Here are some other considerations for moving to a dedicated cluster for cost optimization:
Copy file name to clipboardExpand all lines: articles/virtual-desktop/includes/include-whats-new-client-windows-avd-store.md
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ms.topic: include
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author: sipastak
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ms.author: sipastak
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ms.date: 10/08/2024
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ms.date: 10/16/2024
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---
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## Supported client versions
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| Release | Latest version | Download |
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|--|--|--|
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| Public | 1.2.5709 |[Microsoft Store](https://aka.ms/AVDStoreClient)|
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| Insider | 1.2.5709 | Download the public release, then [Enable Insider releases](../users/client-features-windows.md#enable-insider-releases) and check for updates. |
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| Insider | 1.2.5799 | Download the public release, then [Enable Insider releases](../users/client-features-windows.md#enable-insider-releases) and check for updates. |
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## Updates for version 1.2.5799 (Insider)
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*Date published: October 15, 2024*
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- Added list of graphics codecs to the Connection Information dialog.
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- Fixed an issue where the bottom portion of the Windows Authentication dialog could be cut off when connected to a RemoteApp.
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- Fixed an issue where the Connection Information dialog showed the lowest RTT instead of average RTT.
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