Another exciting week is in the books. News our team is covering this week includes Microsoft's commitment to expand Azure Availability Zones to more regions, Monitor your spending through forecasted cost alerts with Azure Cost Management and Billing, Make workloads on AMD-backed virtual machines confidential without recompiling code, Long-term backup retention (LTR) for Azure SQL Managed Instance in public preview, Machine Learning Services on Azure SQL Managed Instance now generally available and an enterprise-scale Microsoft Learn module of the week.
Microsoft continues to build Azure to support customer needs for low-latency, high-availability cloud services and with the ability to both store and process data within a country or geography. In 2021, Microsoft continued thier plans to expand datacenter regions to new markets like Indonesia and grow in existing markets in the United States and China. As the continued effort to bring local cloud services to more countries moves along, resiliency and high availability has become top of mind.
Microsoft has announced that by end of 2021, every country in which they operate a datacenter region will deliver Azure Availability Zones. More information surrounding new Availability Zone capabilities coming to your region can be found here: Microsoft's commitment to expand Azure Availability Zones
Manage cloud spending with confidence by using the newly generally available forecasted cost alerts. Azure Cost Management and Billing can prevent cost overruns with Azure budget alerts on forecasted costs.
Learn more here: Prevent exceeding Azure budget with forecasted cost alerts
Microsoft announced the limited preview of AMD-backed Azure confidential computing virtual machines. Microsoft is further broadening the confidential computing options available to Azure customers through our technology partnership with AMD, specifically by being the first major cloud provider to offer confidential virtual machines on the new AMD EPYC™ 7003 series processors. This new approach complements existing Azure confidential computing solutions such as confidential containers for Azure Kubernetes Service and opens the possibility to create new confidential applications without requiring code modifications which in turn substantially simplifies the process of creating confidential applications.
Many applications have regulatory, compliance, or other business purposes that require you to retain database backups beyond the 35 days provided by Azure SQL Managed Instance automatic backups. When using the LTR feature, you can automatically retain specified SQL Managed Instance full backups in separate Azure Blob storage with configured redundancy for up to 10 years. You can then restore any backups as a new database. LTR may be configured on both single and pooled instances.
Microsoft's goal is to continue making investments in Machine Learning Services across all SQL Server products in such platforms as Windows, Linux, Virtual Machines, Edge, Synapse, and Managed Instance, with feature parity and consistent user experience. To start this endeavour, Microsoft has enabled machine learning capabilities to operate R or Python runtime with increased performance on a preconfigured SQL Managed Instance.
The Machine Learning Services with R or Python support in Azure SQL Managed Instance can now be used to:
Learn how Microsoft Cloud Adoption Framework for Azure enterprise-scale landing zones can help organizations accelerate cloud adoption from months to weeks. This learning path will explore how to create Azure landing zone architecture at enterprise-scale. Learn about landing zone critical design areas to build and operationalize your Azure environment.
Learn more here: Create an enterprise-scale architecture in Azure
Let us know in the comments below if there are any news items you would like to see covered in the next show. Be sure to catch the next AzUpdate episode and join us in the live chat.
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