Microsoft Azure portal May 2019 update
This month is packed with updates on the Azure portal, including enhancements to the user experience, resource configuration, management tools and more.
Management and governance
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Azure.Source – Volume 83
News and updates from Azure SQL Database Edge, Azure portal updates, and Azure Cosmos DB. -
All US Azure regions now approved for FedRAMP High impact level
oday, I’m excited to share our ability to support US Federal Risk and Authorization Management Program (FedRAMP) High impact level FedRAMP services with the extension of FedRAMP High Provisional Authorization to Operate (P-ATO) to all of our Azure public regions in the United States. -
Transforming Azure Monitor Logs for DevOps, granular access control, and improved Azure integration
Logs are critical for many scenarios in the modern digital world. -
Manage your cross cloud spend using Azure Cost Management
It’s common for enterprises to run workloads on more than one cloud provider; however, adopting a multi-cloud strategy comes with complexities like handling different cost models, varying billing cycles, and different cloud designs that can be difficult to navigate across multiple dashboards and views. -
Azure Cost Management updates – May 2019
Azure Cost Management helps you understand how and where you’re accruing costs in the cloud, identify and prevent bad spending patterns, and optimize costs, empowering you to do more with less. -
Announcing service monitor alliances for Azure Deployment Manager
Azure Deployment Manager is a new set of features for Azure Resource Manager that greatly expands your deployment capabilities. -
Visual data ops for Apache Kafka on Azure HDInsight, powered by Lenses
Apache Kafka is one of the most popular open source streaming platforms today. -
Customize your automatic update settings for Azure Virtual Machine disaster recovery
When we released the capability of automatic update of agents used in disaster recovery of Azure VMs, the most frequent feedback we received was related to access control. -
A look at Azure’s automated machine learning capabilities
The automated machine learning capability in Azure Machine Learning service allows data scientists, analysts, and developers to build machine learning models with high scalability, efficiency, and productivity all while sustaining model quality. -
Taking advantage of the new Azure Application Gateway V2
We recently released Azure Application Gateway V2 or Autoscaling version (SKU) and Web Application Firewall (WAF). -
Monitoring on Azure HDInsight Part 3: Performance and resource utilization
Learn how to monitor performance and resource utilization on Azure HDInsight by keeping tabs on metrics, such as CPU, memory, and network usage, to better understand how your cluster is handling your workloads and whether you have enough resources to complete the task at hand.
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