A great throwback discussion to one of the earliest (and most robust) of Azure Services, the Classic Cloud Service, with Adam Modlin, a Senior App Dev Consultant at Microsoft.
Both Azure Virtual Machines and Azure Cloud Services will be available only in the Azure portal. Access from the classic portal will no longer be supported. If you were using the classic portal for OS images, please use PowerShell instead.
For details on how to get started in the Azure portal, refer to the Virtual Machines and Azure Cloud Services documentation.
New features for Virtual Machines in the Azure portal include:
• Ability to add classic disks to a VM
• Ability to add classic images to a VM
New features for Azure Cloud Services in the Azure portal include:
• Deployment-related operation logs
• Ability to update one or more roles at a time
✓ Are powered by the latest Intel Xeon Scalable processors, code-named Skylake.
✓ Are ideal for compute intensive workloads such as scientific modeling, advanced analytics, engineering simulations, and machine learning inference.
✓ Are available in seven sizes, the largest of which has 72 vCPUs and 144 GB of random-access memory (RAM).
✓ Will support Azure Premium Storage disks by default and Field Programmable Gate Array (FPGA)-based Azure accelerated networking capabilities for ultra-low VM-to-VM latencies.
✓ Have newly added Skylake processor capabilities that will provide up to twice the performance boost to vector processing workloads on both single and double precision floating point operations.
Fv2-Series VMs are now generally available in the West US 2, East US, Southeast Asia, and West Europe regions.
G-Series VMs provide a high-performance foundation for database workloads that require high compute performance and large amounts of RAM to support in-memory database operations. G-Series VMs are now generally available in the UK South region. GA pricing will begin on January 1, 2018. Usage prior to January 1, 2018, will be billed at preview rates.
Learn more about Azure Virtual Machines on the overview and pricing webpages.
Azure Container Registry lets you store and manage images for all types of container deployments including DC/OS, Docker Swarm, Kubernetes, and Azure services such as App Service, Batch, Service Fabric, and others. Using Container Registry, you can:
✓ Keep container images near deployments to reduce latency and cost.
✓ Simplify your registry access management using Azure Active Directory.
Managed tiers generally available
Container Registry is now generally available in Basic, Standard, and Premium tiers. By using managed tiers, you can easily move between Basic, Standard, and Premium, and Container Registry will manage caching of storage accounts to meet the throughput and API calls. By choosing Premium, you’ll have higher throughput because Container Registry replicates and manages images across multiple (encrypted at rest) storage accounts.
Geo-replication available in preview
eo-replication enables Container Registry to function as a single registry, while being available for local operations in the replicated regions. As images are used across many Azure services, you can benefit from a single management plane while maintaining network-close, fast, and reliable image pulls. Geo-replicated registries provide the following benefits
✓ Network-close registry access from regional deployments
✓ No additional egress fees, as images are pulled from a local, replicated registry in the same region as your container host
Azure Batch is a platform service for running large-scale parallel and high-performance computing (HPC) apps efficiently in the cloud. Batch schedules compute-intensive work to run on a managed collection of virtual machines (VMs) and can automatically scale compute resources to meet the needs of your jobs. Batch lets you:
✓ Scale to tens, hundreds, or thousands of VMs
✓ Cloud-enable batch and HPC apps
✓ Stage data and execute compute pipelines
Low-priority VMs are allocated from surplus capacity and therefore availability varies. If Batch apps can tolerate interruption and job execution time is flexible, low-priority VMs can reduce the cost of running workloads or let more work be performed at a greater scale for the same cost.
Azure API Management lets organizations publish APIs more securely, reliably, and at scale. You can use API Management to drive API consumption among internal teams, partners, and developers while benefiting from business and log analytics available in the admin portal. This service helps provide the tools your organization needs for end-to-end API management, including provisioning user roles and creating usage plans and quotas. In response to customer feedback, we’re making three important updates to API Management begnning December 1, 2017:
✓ A new hourly billing rate, instead of the daily billing rate, makes API Management more accessible and cost-effective to operate. All current customers will be automatically moved to hourly pricing effective December 1, 2017.
✓ In addition to the Developer, Standard, and Premium pricing tiers, a new Basic pricing tier will be available.
✓ Azure Active Directory (Azure AD) will now be included with the Standard pricing tier.
Azure SQL Data Warehouse is a fully managed, elastic scale service that truly accelerates your journey to a high performance, secure, and compliant cloud data warehouse.
The new compute-optimized performance tier for SQL Data Warehouse is designed for customers that need high performance and massive scale to meet the needs of compute-intensive analytical workloads. You can now provision five times the computing power and store an unlimited amount of columnar data, empowering you to run your largest and most complex analytics workloads.
Today, application settings are more likely to appear in local XML files, but the Windows Registry and its hives of key/value pairs can also be used. The good news is that interacting with the Registry is straightforward, as Tim shows you here.
Microsoft shared some lessons learned at this week’s Live! 360 conference in Orlando, detailing how the Visual Studio Team Services/Team Foundation Server group eats its own DevOps dog food.
No anti-patterns this time – Steve is talking patterns! Carl and Richard chat with Steve Smith about various development patterns that can help you build software that is more reliable, scalable and robust. While Steve is famous for his anti-pattern ca…
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