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articles/aks/configure-azure-cni.md

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The following screenshot from the Azure portal shows an example of configuring these settings during AKS cluster creation:
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![Advanced networking configuration in the Azure portal][portal-01-networking-advanced]
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:::image type="content" source="/media/portal-01-networking-advanced.png" alt-text="Screenshot from the Azure portal showing an example of configuring these settings during AKS cluster creation.":::
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## Dynamic allocation of IPs and enhanced subnet support
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articles/iot-hub-device-update/device-update-multi-step-updates.md

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> [!NOTE]
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> Steps Content Handler:
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> IsInstalled validation logic: The Device Update agent’s [step handler](https://github.com/Azure/iot-hub-device-update/blob/main/src/content_handlers/steps_handler/README.md) checks to see if particular update is already installed (i.e., IsInstalled() resulted in a result code “900” i.e., is installed is ‘true’). To avoid installing an update that is already on the device the DU agent will skip future steps because we use it to determine whether to perform the step or not.
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> IsInstalled validation logic for each step: The Device Update agent’s [step handler](https://github.com/Azure/iot-hub-device-update/blob/main/src/content_handlers/steps_handler/README.md) checks to see if particular update is already installed i.e., checks for IsInstalled() resulted in a result code “900” which means ‘true’. If an update is already installed, to avoid re-installing an update that is already on the device, the DU agent will skip future steps because we use it to determine whether to perform the step or not.
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> Reporting an update result: The result of a step handler execution must be written to ADUC_Result struct in a desired result file as specified in --result-file option [learn more](https://github.com/Azure/iot-hub-device-update/blob/main/src/content_handlers/steps_handler/README.md#steps-content-handler). Then based on results of the execution, for success return 0, for any fatal errors return -1 or 0xFF.
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### Reference Step In Parent Update

articles/orbital/TOC.yml

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href: overview.md
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- name: What is the Space Partner Community?
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href: space-partner-program-overview.md
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- name: What is Azure Orbital Analytics?
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href: overview-analytics.md
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- name: Quickstart
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items:
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- name: Register a spacecraft

articles/orbital/index.yml

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url: update-tle.md
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- text: Cancel a contact
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url: delete-contact.md
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# Card
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- title: Learn how to downlink from a public satellite
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- title: Azure Orbital Analytics
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linkLists:
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- linkListType: overview
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links:
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- text: What is Azure Orbital Analytics?
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url: overview-analytics.md
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- linkListType: concept
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links:
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- text: Geospatial reference architecture
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url: geospatial-reference-architecture.md
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- text: Spaceborne data analysis with Azure Synapse Analytics
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url: /azure/architecture/industries/aerospace/geospatial-processing-analytics
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- linkListType: tutorial
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links:
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- text: Schedule a contact with NASA's AQUA public satellite
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url: concepts-contact.md
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- text: Contact profile
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url: concepts-contact-profile.md
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- text: Geospatial reference architecture
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url: geospatial-reference-architecture.md
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- text: Spacecraft object
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url: spacecraft-object.md
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url: spacecraft-object.md
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---
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title: What is Azure Orbital Analytics?
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description: Azure Orbital Analytics are Azure capabilities that allow you to discover and distribute the most valuable insights from your spaceborne data.
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author: meaghanlewis
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ms.service: orbital
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ms.topic: overview
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ms.custom: ga
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ms.date: 08/08/2022
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ms.author: mosagie
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---
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# What is Azure Orbital Analytics?
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Azure Orbital Analytics are Azure capabilities using spaceborne data and AI that allow you to discover and distribute the most valuable insights from your spaceborne data to take action in less time.
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## What it provides
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Azure Orbital Analytics provides the ability to downlink spaceborne data from Azure Orbital Ground Station (AOGS), first- or third-party archives, or customer-acquired data directly into Azure. This data is efficiently stored using Azure Data Platform components. From there, you can convert raw spaceborne sensor data into analysis-ready data using Azure Orbital Analytics processing pipelines.
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## Integrations
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Derive insights on data by applying AI models, integrating applications, and more. Partner AI models and Microsoft tools extract the highest precision results. Finally, deliver data to various endpoints such as Microsoft Teams, Power Platform, or other open-source locations. Azure Orbital Analytics enables scenarios including land classification, asset monitoring, object detection, and more.
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## Partnerships
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Azure Orbital Analytics is the pathway between satellite operators and Microsoft customers. Partnerships with Airbus, Blackshark, and Orbital Insight enable information extraction and publishing to Esri’s ArcGIS workflows.
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Orbital Analytics for Azure Synapse applies artificial intelligence over satellite imagery at scale using Azure resources.
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## Next steps
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- [Geospatial reference architecture](./geospatial-reference-architecture.md)
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- [Spaceborne data analysis with Azure Synapse Analytics](/azure/architecture/industries/aerospace/geospatial-processing-analytics)

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