Today, we’re excited to announce the public preview of HDInsight on AKS, our cloud-native, open-source big data service, completely rearchitected on Azure Kubernetes Service infrastructure with two new workloads and numerous improvements across the stack.
Learn how to monitor the workloads running on your Azure HDInsight cluster and view relevant logs to assist with debugging.
Recent announcements in the open source ecosystem have led customers of prominent open source analytics technology companies to explore options with Microsoft Azure and to this end, we now have new and compelling offers aimed at helping on-premises open source analytics workloads to migrate to
Microsoft FHIR Server for Azure extends to SQL; Azure Shared Image Gallery now generally available; Accelerating smart building solutions with cloud, AI, and IoT; and much more.
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.
Apache Kafka is one of the most popular open source streaming platforms today. However, deploying and running Kafka remains a challenge for most.
Read how governments can benefit from Azure, get the latest on Azure Kubernetes service, and learn how IoT helps supply chains.
We are excited to announce the General Availability of the autoscale feature for Azure HDInsight. This feature enables enterprises to become more productive and cost-efficient by automatically scaling clusters up or down based on the load or a customized schedule.
We’re really looking forward to Microsoft Build 2019, our premier event for developers happening next week, May 6-8 at the Washington State Convention Center in Seattle.
Migrating big data workloads to the cloud remains a key priority for our customers and Azure HDInsight is committed to making that journey simple and cost effective.
