An Azure Machine Learning compute instance is a managed cloud-based workstation for data scientists. Each compute instance has only one owner, although you can share files between multiple compute instances.Compute instances make it easy to get started with Azure Machine Learning development and provi...
Instance pools provide a high level of isolation as each instance is granted dedicated vCores on the underlying host virtual machine. The main difference of an instance pool deployment model compared to a single managed instance is that, with instance pools, multiple SQL Server processes can be ...
If so, no extra configuration is needed for clients within the on-premises network to access a private Azure resource. Protection against data exfiltration. When you map a Private Endpoint to an Azure service, you map to a specific instance of that service. For example, if you're setting...
Understand Azure Kubernetes Service (AKS) backup, the cloud-native process to back up and restore the containerized applications and data running in an AKS cluster.
Get ready for Microsoft Ignite 2023, where we’ll be unveiling exciting new features and enhancements forAzure Managed Instance for Apache Cassandra. With the introduction of vector search, turnkey major version upgrades, turnkey replication for multi-region clusters, turnkey hybrid cluster setup for...
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instance, a hybrid cloud environment is ideal for DevOps and other teams to develop and test web applications. This frees organizations from purchasing and expanding the on-premises physical hardware needed to run application testing, offering faster time to market. Once a team has developed an ...
The “container as a service” lets you rapidly create and launch containerized applications, including from Kubernetes, without any overhead and with an easily scriptable set of commands Credit: Thinkstock Azure is rapidly turning into a container-driven public cloud, with strategic investments...
instance, a hybrid cloud environment is ideal for DevOps and other teams to develop and test web applications. This frees organizations from purchasing and expanding the on-premises physical hardware needed to run application testing, offering faster time to market. Once a team has developed an ...
For instance, is there alignment between your data vision and goals, business strategy, and AI use cases? Are there gaps or challenges across your data landscape, like siloed data, multiple reporting tools, and more? Is governance in place to ensure security, data qua...