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Copy file name to clipboardExpand all lines: articles/app-service/overview-patch-os-runtime.md
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### New patch updates
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Patch updates to .NET, PHP, Java SDK, or Tomcat/Jetty version are applied automatically by overwriting the existing installation with the new version. Node.js patch updates are installed side by side with the existing versions (similar to major and minor versions in the next section). New Python patch versions can be installed manually through [site extensions](https://www.siteextensions.net/packages?q=Tags%3A%22python%22)), side by side with the built-in Python installations.
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Patch updates to .NET, PHP, Java SDK, or Tomcat/Jetty version are applied automatically by overwriting the existing installation with the new version. Node.js patch updates are installed side by side with the existing versions (similar to major and minor versions in the next section). New Python patch versions can be installed manually through [site extensions](https://azure.microsoft.com/blog/azure-web-sites-extensions/), side by side with the built-in Python installations.
Copy file name to clipboardExpand all lines: articles/azure-australia/gateway-ingress-traffic.md
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## Requirements
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The overall security requirements for Commonwealth systems are defined in the ISM. To assist Commonwealth entities in implementing network security, the ACSC has published [ACSC Protect: Implementing Network Segmentation and Segregation](https://www.acsc.gov.au/publications/protect/network_segmentation_segregation.htm), and to assist with securing systems in Cloud environments the ACSC has published [Cloud Computing Security for Tenants](https://www.acsc.gov.au/publications/protect/Cloud_Computing_Security_for_Tenants.pdf).
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The overall security requirements for Commonwealth systems are defined in the ISM. To assist Commonwealth entities in implementing network security, the ACSC has published [ACSC Protect: Implementing Network Segmentation and Segregation](https://www.acsc.gov.au/publications/protect/network_segmentation_segregation.htm), and to assist with securing systems in Cloud environments the ACSC has published [Cloud Computing Security for Tenants](https://www.cyber.gov.au/publications/cloud-computing-security-for-tenants).
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These guides outline the context for implementing network security and controlling traffic and include practical recommendations for network design and configuration.
Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-apps-install-applications.md
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|Application |Cluster type(s) | Description |
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|---|---|---|
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|[AtScale Intelligence Platform](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/atscale.atscale)|Hadoop |AtScale turns your HDInsight cluster into a scale-out OLAP server, allowing you to query billions of rows of data interactively using the BI tools you already know, own, and love – from Microsoft Excel, Power BI, Tableau Software to QlikView. |
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|[CDAP for HDInsight](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/cask.cdap-for-hdinsight)|HBase |CDAP is the first unified integration platform for big data that accelerates time to value for Hadoop and enables IT to provide self-service data. Open source and extensible, CDAP removes barriers to innovation. Requirements: 4 Region nodes, min D3 v2. |
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|[Datameer](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/datameer.datameer)|Hadoop |Datameer’s self-service scalable platform for preparing, exploring, and governing your data for analytics accelerates turning complex multisource data into valuable business-ready information, delivering faster, smarter insights at an enterprise-scale. |
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|[Dataiku DSS on HDInsight](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/dataiku.dss-on-hdi)|Hadoop, Spark |Dataiku DSS in an enterprise data science platform that lets data scientists and data analysts collaborate to design and run new data products and services more efficiently, turning raw data into impactful predictions. |
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|[WANdisco Fusion HDI App](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/wandisco.fusion-hdi-app)|Hadoop, Spark,HBase,Storm,Kafka |Keeping data consistent in a distributed environment is a massive data operations challenge. WANdisco Fusion, an enterprise-class software platform, solves this problem by enabling unstructured data consistency across any environment. |
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|[H2O SparklingWater for HDInsight](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/h2o-ai.h2o-sparklingwater)|Spark |H2O Sparkling Water supports the following distributed algorithms: GLM, Naïve Bayes, Distributed Random Forest, Gradient Boosting Machine, Deep Neural Networks, Deep learning, K-means, PCA, Generalized Low Rank Models, Anomaly Detection, Autoencoders. |
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|[Striim for Real-Time Data Integration to HDInsight](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/striim.hdinsightintegration)|Hadoop,HBase,Storm,Spark,Kafka |Striim (pronounced "stream") is an end-to-end streaming data integration + intelligence platform, enabling continuous ingestion, processing, and analytics of disparate data streams. |
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|[Jumbune Enterprise-Accelerating BigData Analytics](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/impetus-infotech-india-pvt-ltd.impetus_jumbune)|Hadoop, Spark |At a high level, Jumbune assists enterprises by, 1. Accelerating Tez, MapReduce & Spark engine based Hive, Java, Scala workload performance. 2. Proactive Hadoop Cluster Monitoring, 3. Establishing Data Quality management on distributed file system. |
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|[Kyligence Enterprise](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/kyligence.kyligence)|Hadoop,HBase,Spark |Powered by Apache Kylin, Kyligence Enterprise Enables BI on Big Data. As an enterprise OLAP engine on Hadoop, Kyligence Enterprise empowers business analyst to architect BI on Hadoop with industry-standard data warehouse and BI methodology. |
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|[Starburst Presto for Azure HDInsight](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/starburst.starburst-presto)|Hadoop |Presto is a fast and scalable distributed SQL query engine. Architected for the separation of storage and compute, Presto is perfect for querying data in Azure Data Lake Storage, Azure Blob Storage, SQL and NoSQL databases, and other data sources. |
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|[StreamSets Data Collector for HDInsight Cloud](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/streamsets.streamsets-data-collector-hdinsight)|Hadoop,HBase,Spark,Kafka |StreamSets Data Collector is a lightweight, powerful engine that streams data in real time. Use Data Collector to route and process data in your data streams. It comes with a 30 day trial license. |
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|[Trifacta Wrangler Enterprise](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/trifacta.tr01)|Hadoop, Spark,HBase |Trifacta Wrangler Enterprise for HDInsight supports enterprise-wide data wrangling for any scale of data. The cost of running Trifacta on Azure is a combination of Trifacta subscription costs plus the Azure infrastructure costs for the virtual machines. |
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|[AtScale Intelligence Platform](https://azuremarketplace.microsoft.com/marketplace/apps/atscaleinc.atscale)|Hadoop |AtScale turns your HDInsight cluster into a scale-out OLAP server, allowing you to query billions of rows of data interactively using the BI tools you already know, own, and love – from Microsoft Excel, Power BI, Tableau Software to QlikView. |
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|[CDAP for HDInsight](https://azuremarketplace.microsoft.com/marketplace/apps/cask.cdap-for-hdinsight)|HBase |CDAP is the first unified integration platform for big data that accelerates time to value for Hadoop and enables IT to provide self-service data. Open source and extensible, CDAP removes barriers to innovation. Requirements: 4 Region nodes, min D3 v2. |
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|[Datameer](https://azuremarketplace.microsoft.com/marketplace/apps/datameer.datameer)|Hadoop |Datameer’s self-service scalable platform for preparing, exploring, and governing your data for analytics accelerates turning complex multisource data into valuable business-ready information, delivering faster, smarter insights at an enterprise-scale. |
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|[Dataiku DSS on HDInsight](https://azuremarketplace.microsoft.com/marketplace/apps/dataiku.dss-on-hdi)|Hadoop, Spark |Dataiku DSS in an enterprise data science platform that lets data scientists and data analysts collaborate to design and run new data products and services more efficiently, turning raw data into impactful predictions. |
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|[WANdisco Fusion HDI App](https://azuremarketplace.microsoft.com/marketplace/apps/wandisco.fusion-hdi-app)|Hadoop, Spark,HBase,Storm,Kafka |Keeping data consistent in a distributed environment is a massive data operations challenge. WANdisco Fusion, an enterprise-class software platform, solves this problem by enabling unstructured data consistency across any environment. |
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|[H2O SparklingWater for HDInsight](https://azuremarketplace.microsoft.com/marketplace/apps/h2o-ai.h2o-sparklingwater)|Spark |H2O Sparkling Water supports the following distributed algorithms: GLM, Naïve Bayes, Distributed Random Forest, Gradient Boosting Machine, Deep Neural Networks, Deep learning, K-means, PCA, Generalized Low Rank Models, Anomaly Detection, Autoencoders. |
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|[Striim for Real-Time Data Integration to HDInsight](https://azuremarketplace.microsoft.com/marketplace/apps/striim.hdinsightintegration)|Hadoop,HBase,Storm,Spark,Kafka |Striim (pronounced "stream") is an end-to-end streaming data integration + intelligence platform, enabling continuous ingestion, processing, and analytics of disparate data streams. |
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|[Jumbune Enterprise-Accelerating BigData Analytics](https://azuremarketplace.microsoft.com/marketplace/apps/impetus-infotech-india-pvt-ltd.impetus_jumbune)|Hadoop, Spark |At a high level, Jumbune assists enterprises by, 1. Accelerating Tez, MapReduce & Spark engine based Hive, Java, Scala workload performance. 2. Proactive Hadoop Cluster Monitoring, 3. Establishing Data Quality management on distributed file system. |
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|[Kyligence Enterprise](https://azuremarketplace.microsoft.com/marketplace/apps/kyligence.kyligence)|Hadoop,HBase,Spark |Powered by Apache Kylin, Kyligence Enterprise Enables BI on Big Data. As an enterprise OLAP engine on Hadoop, Kyligence Enterprise empowers business analyst to architect BI on Hadoop with industry-standard data warehouse and BI methodology. |
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|[Starburst Presto for Azure HDInsight](https://azuremarketplace.microsoft.com/marketplace/apps/starburst.starburst-presto)|Hadoop |Presto is a fast and scalable distributed SQL query engine. Architected for the separation of storage and compute, Presto is perfect for querying data in Azure Data Lake Storage, Azure Blob Storage, SQL and NoSQL databases, and other data sources. |
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|[StreamSets Data Collector for HDInsight Cloud](https://azuremarketplace.microsoft.com/marketplace/apps/streamsets.streamsets-data-collector-hdinsight)|Hadoop,HBase,Spark,Kafka |StreamSets Data Collector is a lightweight, powerful engine that streams data in real time. Use Data Collector to route and process data in your data streams. It comes with a 30 day trial license. |
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|[Trifacta Wrangler Enterprise](https://azuremarketplace.microsoft.com/marketplace/apps/trifacta.tr01)|Hadoop, Spark,HBase |Trifacta Wrangler Enterprise for HDInsight supports enterprise-wide data wrangling for any scale of data. The cost of running Trifacta on Azure is a combination of Trifacta subscription costs plus the Azure infrastructure costs for the virtual machines. |
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|[Unifi Data Platform](https://unifisoftware.com/platform/)|Hadoop,HBase,Storm,Spark |The Unifi Data Platform is a seamlessly integrated suite of self-service data tools designed to empower the business user to tackle data challenges that drive incremental revenue, reduce costs or operational complexity. |
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|[Unraveldata APM](https://azuremarketplace.microsoft.com/marketplace/apps/unravel-data.unravel-app)|Spark |Unravel Data app for HDInsight Spark cluster. |
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|[Waterline AI-Driven Data Catalog](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/waterline_data.waterline_data)|Spark |Waterline catalogs, organizes, and governs data using AI to auto-tag data with business terms. Waterline’s business literate catalog is a critical, success component for self-service analytics, compliance and governance, and IT management initiatives. |
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|[Waterline AI-Driven Data Catalog](https://azuremarketplace.microsoft.com/marketplace/apps/waterline_data.waterline_data)|Spark |Waterline catalogs, organizes, and governs data using AI to auto-tag data with business terms. Waterline’s business literate catalog is a critical, success component for self-service analytics, compliance and governance, and IT management initiatives. |
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The instructions provided in this article use Azure portal. You can also export the Azure Resource Manager template from the portal or obtain a copy of the Resource Manager template from vendors, and use Azure PowerShell and Azure Classic CLI to deploy the template. See [Create Apache Hadoop clusters on HDInsight using Resource Manager templates](hdinsight-hadoop-create-linux-clusters-arm-templates.md).
Copy file name to clipboardExpand all lines: articles/virtual-machines/ncv2-series.md
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To take advantage of the GPU capabilities of Azure N-series VMs, NVIDIA GPU drivers must be installed.
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The [NVIDIA GPU Driver Extension](./extensions/hpccompute-gpu-windows.md) installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the [NVIDIA GPU Driver Extension documentation](./extensions/hpccompute-gpu-windows.md) for supported operating systems and deployment steps. For general information about VM extensions, see [Azure virtual machine extensions and features](/.extensions/overview.md).
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The [NVIDIA GPU Driver Extension](./extensions/hpccompute-gpu-windows.md) installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the [NVIDIA GPU Driver Extension documentation](./extensions/hpccompute-gpu-windows.md) for supported operating systems and deployment steps. For general information about VM extensions, see [Azure virtual machine extensions and features](./extensions/overview.md).
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If you choose to install NVIDIA GPU drivers manually, see [N-series GPU driver setup for Windows](./windows/n-series-driver-setup.md) or [N-series GPU driver setup for Linux](./linux/n-series-driver-setup.md) for supported operating systems, drivers, installation, and verification steps.
Copy file name to clipboardExpand all lines: articles/virtual-machines/ncv3-series.md
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To take advantage of the GPU capabilities of Azure N-series VMs, NVIDIA GPU drivers must be installed.
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The [NVIDIA GPU Driver Extension](./extensions/hpccompute-gpu-windows.md) installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the [NVIDIA GPU Driver Extension documentation](./extensions/hpccompute-gpu-windows.md) for supported operating systems and deployment steps. For general information about VM extensions, see [Azure virtual machine extensions and features](/.extensions/overview.md).
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The [NVIDIA GPU Driver Extension](./extensions/hpccompute-gpu-windows.md) installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the [NVIDIA GPU Driver Extension documentation](./extensions/hpccompute-gpu-windows.md) for supported operating systems and deployment steps. For general information about VM extensions, see [Azure virtual machine extensions and features](./extensions/overview.md).
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If you choose to install NVIDIA GPU drivers manually, see [N-series GPU driver setup for Windows](./windows/n-series-driver-setup.md) or [N-series GPU driver setup for Linux](./linux/n-series-driver-setup.md) for supported operating systems, drivers, installation, and verification steps.
Copy file name to clipboardExpand all lines: articles/virtual-machines/nd-series.md
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To take advantage of the GPU capabilities of Azure N-series VMs, NVIDIA GPU drivers must be installed.
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The [NVIDIA GPU Driver Extension](./extensions/hpccompute-gpu-windows.md) installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the [NVIDIA GPU Driver Extension documentation](./extensions/hpccompute-gpu-windows.md) for supported operating systems and deployment steps. For general information about VM extensions, see [Azure virtual machine extensions and features](/.extensions/overview.md).
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The [NVIDIA GPU Driver Extension](./extensions/hpccompute-gpu-windows.md) installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the [NVIDIA GPU Driver Extension documentation](./extensions/hpccompute-gpu-windows.md) for supported operating systems and deployment steps. For general information about VM extensions, see [Azure virtual machine extensions and features](./extensions/overview.md).
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If you choose to install NVIDIA GPU drivers manually, see [N-series GPU driver setup for Windows](./windows/n-series-driver-setup.md) or [N-series GPU driver setup for Linux](./linux/n-series-driver-setup.md) for supported operating systems, drivers, installation, and verification steps.
Copy file name to clipboardExpand all lines: articles/virtual-machines/ndv2-series.md
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To take advantage of the GPU capabilities of Azure N-series VMs, NVIDIA GPU drivers must be installed.
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The [NVIDIA GPU Driver Extension](./extensions/hpccompute-gpu-windows.md) installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the [NVIDIA GPU Driver Extension documentation](./extensions/hpccompute-gpu-windows.md) for supported operating systems and deployment steps. For general information about VM extensions, see [Azure virtual machine extensions and features](/.extensions/overview.md).
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The [NVIDIA GPU Driver Extension](./extensions/hpccompute-gpu-windows.md) installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the [NVIDIA GPU Driver Extension documentation](./extensions/hpccompute-gpu-windows.md) for supported operating systems and deployment steps. For general information about VM extensions, see [Azure virtual machine extensions and features](./extensions/overview.md).
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If you choose to install NVIDIA GPU drivers manually, see [N-series GPU driver setup for Windows](./windows/n-series-driver-setup.md) or [N-series GPU driver setup for Linux](./linux/n-series-driver-setup.md) for supported operating systems, drivers, installation, and verification steps.
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