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Azure Stack Internals

As with any enterprise computer system, Azure Stack also is a combination of three essential components: compute, storage, and network. By utilizing Windows Server 2016’s software-defined data center capabilities, Microsoft Azure Stack abstracts the hardware infrastructure into tenant-ready cloud services that are synonymous with Microsoft Azure.

Hardware Management in Azure Stack

Azure Stack leverages a set of controllers built on top of software-defined data center capabilities of Windows Server 2016 to manage the hardware system. Figure 3.5 summarizes the hardware management cycle of Azure Stack.


FIGURE 3.5 Azure Stack hardware management workflow.

Physical switches use remote authentication dial-in user service (RADIUS) authentication, which allows auditing capabilities (that is, who authenticated on a switch, whether that operation was successful or failed, and so on) in Azure Stack. Baseboard management controllers (BMCs) in Azure Stack support both lightweight directory access protocol (LDAP) and RADIUS authentication. Retrieving hardware-related health information is handled by out-of-band management tools; as Microsoft does not allow monitoring agents to be installed, all hardware-related health information is gathered using an intelligent platform management interface (IPMI) through the BMC. Additionally, the Health Resource Provider (HRP) gathers all hardware- and software-related health information and exposes those via an API.

Physical Node Management Controller (PNM)

Azure Stack interacts with the physical servers using the built-in BMCs such as HP iLO, Dell iDRAC, and so on. PNM uses a PcsvDevice leveraging IPMI implementation to communicate with the BMC. This allows the base operations depicted in Figure 3.6, enabling an Azure Stack administrator to recover a physical node at any given point in time. PNM authenticates using a BMC account or LDAP (recommended for larger scale), and securely stores BMC credentials.


FIGURE 3.6 Azure Stack physical node management controller.

Infrastructure Role Controller

The infrastructure role controller (IRC) interacts with infrastructure roles in Azure Stack and performs lifecycle management as well. It uses Windows authentication to interact with hosting platforms (service fabric, failover clustering, Windows servers, Internet Information Services) of infrastructure roles, and IRC protocol is also based on the hosting platform.

Figure 3.7 is a visual representation of the Azure Stack infrastructure role controller.


FIGURE 3.7 Azure Stack infrastructure role controller.

Compute Controller

The compute controller is leveraged both by Azure Stack infrastructure and the compute resource provider (CRP). It provides virtual machine (VM) lifecycle management in Azure Stack by interacting with the scale unit and Hyper-V to manage virtual machines. It uses a PowerShell implementation and authenticates using Just Enough Administration (JEA) principles in PowerShell.

Figure 3.8 is a visual representation of Azure Stack compute controller.


FIGURE 3.8 Azure Stack compute controller.

Azure Stack Hardware Lifecycle Host

Azure Stack Hardware Lifecycle Host (HLH) is a server connected to a BMC network, which is external to the Azure Stack environment. This is a separate preinstalled physical server shipped with each scale unit. Azure Stack hardware vendors use the HLH to deliver their own lifecycle management software.

The server is connected to the BMC switch and contains Windows Server 2016 Standard or Datacenter edition. It is enabled with the Hyper-V role by default and designed to meet Azure Stack security requirements.

This server will host the hardware monitoring software (such as Dell OpenManage), perform firmware configuration and software updates (drivers), and enable emergency management and hardware monitoring. It will also be responsible for running the Azure Stack deployment virtual machine (DVM) during the initial Azure Stack deployment. The host contains the complete Azure Stack deployment media, including the generic Microsoft Azure Stack image and OEM extension packages such as OEM drivers, firmware, and software.

DVM is the starting point of an Azure Stack deployment and contains OEM drivers from the HLH. During initial setup it holds several roles including Active Directory Domain Services (ADDS), Windows Deployment Services (WDS), Dynamic Host Controller Protocol (DHCP), and so on. When the deployment of first physical nodes is complete, these roles are moved to those physical nodes.

Azure Stack Compute Overview

Azure Stack infrastructure as a service (IaaS) is the collection of foundational services on which all other platform as a service (PaaS) services build. IaaS resources in Azure Stack are provisioned and managed via Azure-consistent tools, such as the Azure Stack SDK and portal. IaaS cloud service design in Azure Stack builds on and extends the software-defined data center platform capabilities of Windows Server 2016.

As previously discussed in the “Designing an Azure Stack Scale Unit” section of this chapter, an Azure Stack instance physically starts at a minimum of four servers in a scale unit, which is a hyper-converged system by design. A server contains two CPUs (with a minimum of ten cores per CPU) and 256GB RAM at a minimum. All servers within a scale unit must have the same configuration, meaning you need to have the exact same hardware available inside a scale unit.

VM Sizes

A primary goal of Azure Stack is to provide consistency with Microsoft Azure. This consistency is achieved through fault domains, region concept, VM sizes, and so on. IaaS workloads in Azure Stack are able to leverage equivalent Azure VM SKUs. The VM sizes in Microsoft Azure vary; as Azure is a massive distributed system, not all VM SKUs available in the public cloud are available in a consumer deployment of Azure Stack—due to its limited capacity compared to Azure. Therefore, very small and large SKUs are unavailable and VM sizes in Azure Stack will be aligned to allow for mobility of templates, much like fault domains.

Future releases of Azure Stack will include additional VM sizes aligned with hardware specifications from OEM partners based on factors such as the most popular VM sizes and customer needs. At the time of writing of this book, Azure Stack supports the A, D, and Dv2 series of VM SKUs. Table 3.1 summarizes the available VM SKUs and their capacity limitations in Azure Stack.

Table 3.1 Azure Stack initial IaaS VM SKUs

Instance vCPU RAM (GB) Temp Disk Sizes (GB)
A0 <1 .75 20
A1 1 1.75 70
A2 2 3.5 135
A3 4 7 285
A4 8 14 605
A5 2 14 135
A6 4 28 285
A7 8 56 605
D1 1 3.5 50
D2 2 7 100
D3 4 14 200
D4 8 28 400
D11 2 14 100
D12 4 28 200
D13 8 56 400
D14 16 112 800
D1 v2 1 3.5 50
D2 v2 2 7 100
D3 v2 4 14 200
D4 v2 8 28 400
D5 v2 16 56 800
D11 v2 2 14 100
D12 v2 4 28 200
D13 v2 8 56 400
D14 v2 16 112 800

Compute Resource Provider

The Azure Stack compute resource provider (CRP) is an infrastructure component that manages compute clusters and orchestrates creating IaaS VMs in Azure Stack. It leverages the code hardened in Azure and provides resiliency by running all services in a service fabric ring based on a microservice architecture.

Figure 3.9 demonstrates the high-level architecture of Azure Stack CRP.

VM Creation in Azure Stack

Tenant VM creation sequence in Azure Stack differs from classic Hyper-V VM creation. CRP’s virtual machine pipeline is a goal-seeking engine that exercises the full breadth of core services in Azure Stack. As Figure 3.9 shows, the compute controller performs VM placement, the storage resource provider (SRP) acquires the page blob for the VM, and the network resource provider (NRP) creates the NICs for the tenant VM. These foundational resource providers (CRP, NRP, and SRP) work together and communicate using their APIs to orchestrate VM creation—like solving a jigsaw puzzle, where each block integrates with another to solve the puzzle.


FIGURE 3.9 Azure Stack CRP architecture.

Figure 3.10 demonstrates how a virtual machine is created in Azure Stack.


FIGURE 3.10 Azure Stack VM creation pipeline.

VM Extensions

VM extensions in Azure Stack allow in-guest customization of a new or existing VM, deployed using the Azure Linux and Windows agents. The Azure Linux agent is preloaded into Linux VM images; Azure Stack requires the latest version. When you build your own custom images in Azure Stack, ensure that you have the latest VM agent installed in your custom image, based on its operating system (OS).

CRP exposes administrative user interfaces (UIs) and APIs to facilitate access to the VM image and extension repositories. This is the core functionality used to deliver marketplace syndication. Also, when you curate compute content for Azure Stack (that is, upload your own custom image to Azure Stack marketplace), you need to ensure that the dependencies included in the compute content in your Azure Stack deployment (extensions, custom content, and so on) do not restrict you from using that image in Azure.

Figure 3.11 demonstrates how a virtual machine extension is deployed in Azure Stack.


FIGURE 3.11 Deploying VM extensions in Azure Stack.

Azure Stack Storage Overview

Azure Stack storage uses Windows Server 2016 S2D to provide software-defined storage capabilities to tenant workloads. Azure Stack deploys S2D in a hyper-converged architecture, where both compute and storage subsystems reside in the same servers in which Azure Stack is deployed. S2D uses a cluster shared volume file system (CSVFS) with ReFS as the file system allowing cluster-wide data access, fast VHD(X) creation, expansion, and checkpoints; these enhance the performance and reliability of the storage system.

S2D allows you to create a software-defined storage system with a minimum of two to a maximum of sixteen servers, containing up to 400 drives in a single instance. A single S2D cluster can occupy over 3PB of raw storage and allows you to add servers to scale out and drives to scale up, with the S2D pool automatically absorbing new drives when they are added for capacity expansion. S2D offers better storage efficiency and performance at larger scale, and simplifies procuring storage in Azure Stack.

Storage Spaces Direct Architecture

Figure 3.12 examines the underlying high-level architecture of S2D, described as follows. Note that option 1 denotes converged architecture, and option 2 denotes hyper-converged architecture, discussed in the next section.


FIGURE 3.12 S2D architecture.

  • Resilient File System (ReFS): This is a file system built to enhance the server virtualization experience in Windows Server. The accelerated VHDX operations feature in ReFS significantly improves the creation, expansion, and checkpoint merging in virtual disks. Cluster shared volumes (CSV) consolidate the ReFS volumes into a single namespace that you can access from any server, thus making it shared storage.

  • Scale-Out File Server (SOFS): If you have deployed a converged S2D solution, implementing SOFS is a must. A SOFS provides remote file access by leveraging the SMB3 protocol to clients. An example of this is a Hyper-V compute cluster. With a hyper-converged S2D deployment, both storage and compute is available in the same cluster, eliminating the need to deploy SOFS.

  • Storage Spaces: These are deployed as a single scalable pool with all disk devices (except boot) and contain multiple virtual disks per pool (with mirroring or parity). There are three options for fault tolerance for virtual disks in S2D; mirroring, erasure coding, or mirroring + erasure coding. S2D is a distributed, software-defined redundant array of independent disks (RAID), using the drives in the pool. In S2D, these virtual disks usually are resilient to two simultaneous drive or server failures (using three-way mirroring, with each data copy in a different server), although chassis and rack fault tolerance is also available.

  • Software Storage Bus: The Software Storage Bus establishes a software-defined storage fabric that spans across the storage cluster. All servers in the cluster can see each other’s local drives. This replaces the need for expensive and restrictive fiber channel or shared SAS cabling. The Software Storage Bus leverages SMB3 and SMB Direct.

  • Storage Bus Layer Cache: The storage bus layer cache is designed to dynamically bind the fastest drives in S2D to slower drives (for example, binding SSD to SATA HDDs). This provides server-side read/write caching to accelerate IO and boost throughput. The cache is integral to the software storage bus, and is scoped to the local machine. This is agnostic to a storage pool; virtual disks are automatically configured when enabling S2D.

  • Physical disks: Physical disks in S2D can be a combination of SATA, SAS, and NVM Express (NVMe) SSD, and are locally attached to the Azure Stack servers.

Storage Spaces Direct Deployment Options

There are two deployment options available with S2D:

  • Converged: SOFS are built on top of a converged S2D deployment to provide shared storage using SMB3 file shares. This segregates the storage from compute, similar to traditional NAS/SAN systems, and is ideal for a large-scale enterprise deployment, such as Hyper-V VMs hosted by service providers. In this architecture, both compute and storage resources scale and are managed independently from each other. Figure 3.13 depicts S2D converged architecture in Azure Stack.

    FIGURE 3.13

    FIGURE 3.13 S2D converged architecture.

  • Hyper-Converged: With hyper-converged deployments, both compute and storage layers are available in the same servers; this model allows further reduction of the hardware cost and is ideal for SMEs. In a hyper-converged architecture, both compute and storage resources scale and are managed together in a single system. This is the default deployment option for Azure Stack. Figure 3.14 shows S2D hyper-converged architecture in Azure Stack.

    FIGURE 3.14

    FIGURE 3.14 S2D hyper-converged architecture.

Azure-Consistent Storage Architecture

Azure-consistent storage is a set of storage cloud services that provides blob, table, queue, and account management features in Azure Stack. Azure-consistent storage provides the following functionalities:

  • Blobs: Azure-consistent page blobs, block blobs, and append blobs

  • Tables: Azure-consistent entities, partitions, and other table properties

  • Queues: Reliable and persistent messages and queues that are compatible with Azure-consistent queue behavior

  • Accounts: Azure-consistent storage account resource management for general-purpose storage accounts provisioned in the ARM deployment model

  • Administration: Management of tenant-facing and storage internal storage services that are Azure-consistent

Figure 3.15 shows an overview of an Azure-consistent storage solution.


FIGURE 3.15 Azure-consistent storage: solution view.

The following describes the Azure Stack storage functionalities that leverage the Azure-consistent storage virtualized services and clusters:

  • Blob service and software-defined storage

    The Blob service runs on the back end, running directly on the SOFS cluster nodes. Azure Stack SOFS is based on the S2D-based, shared-nothing failover cluster. Figure 3.15 illustrates the major component services of the Azure-consistent storage solution in Azure Stack. Azure-consistent storage conforms with existing software-defined storage features in Windows Server 2016; therefore, no special hardware is required for Azure-consistent storage beyond these software-defined platform requirements.

  • Storage farm

    A storage farm is a collection of storage infrastructure, resources, and back-end services that together provide tenant-facing and administrator-facing Azure-consistent storage services in Azure Stack. It possesses all storage cloud service infrastructure in the region, including the following:

    • Storage hardware (SOFS nodes, disks)

    • Storage fabric resources (SMB shares)

    • Storage-related service fabric services (blob endpoint service off Azure-consistent storage cluster)

    • Storage-related services that run on a SOFS (blob service)

  • Storage usage scenarios

    As in Microsoft Azure, Azure-consistent storage page blobs provide the virtual disks for all IaaS usage scenarios in Azure Stack:

    • Creating a VM based on a custom OS disk in a page blob

    • Creating a VM based on a custom OS image in a page blob

    • Creating a VM based on an Azure Marketplace image in a new page blob

    • Creating a VM based on a blank disk in a new page blob

In Azure Stack PaaS services, storage block blobs, append blobs, queues, and tables behave in a similar manner as in Azure.

Azure Stack Networking Overview

Azure Stack network resource creation is consistent with Azure, as it brings the power of the new Microsoft software-defined networking stack to Azure Stack. Azure Stack SDN embraces industry standards like Virtual Extensible LAN (VXLAN) and Open vSwitch Database (OVSDB), and incorporates technologies directly from Azure such as the Software Load Balancer (SLB) and Virtual Filtering Platform (VFP) vSwitch extension that is proven to be reliable, robust, and scalable.

Azure Stack SDN leverages investments in Windows Server 2016 such as Packet Direct, Switch Embedded Teaming (SET), converged NIC, offloads, and many others to provide software-defined networking capabilities at cloud scale.

Physical Network Switch Topology

Azure Stack has two connectivity types:

  • DATA: Windows Server 2016 Converged NIC : SDN + Storage

  • BMC: Physical host control + third party hardware monitoring

The intent of this architecture is to provide data transport for both storage/tenant workloads and physical hosts in the form of BMC connections. This is important, as in Azure Stack you not only perform the initial deployment and control the individual servers but will also redeploy servers in the event of a failure. As an example, if the boot disk of a server fails, you would add a new server with a functioning boot disk and provide the BMC IP address in the Azure Stack administrator portal; Azure Stack would do the rest of the configuration itself.

Resiliency is always adhered to while designing each infrastructure component in Azure Stack. In the network layer, resiliency is achieved by using redundant network interfaces (DATA – 10Gbps + single physical NIC with dual ports at a minimum), and on top of that using switch-embedded-teaming for port/link resiliency and building up a dual-switch (TOR) configuration from there.

As Figure 3.16 shows, each server is connected to both ToR switches and the BMC switch is connected to each of the ToR switches. The ToR switches are also inter-connected for resiliency. When you add another scale unit, you must have connectivity between scale units; this is achieved by adding another layer of switching, referred to as aggregated switches, on top of the scale unit. This entire mesh of network topology is known as a layer 3/flat L3 network. Once a packet travels northbound from the layer 2 level of ToR switches towards aggregated switches—that is, to another rack or outside the solution—it is travelling through a layer 3 network.


FIGURE 3.16 Azure Stack physical switch connectivity.

The following subnets are used in the Azure Stack host network:

  • BMC

  • Infrastructure

  • Storage

  • External virtual IPs

Virtual IP Addressing

Figure 3.17 illustrates each arrow representing a set of virtual IP addresses (VIP) in Azure Stack. Each component in Azure Stack architecture has its own set of VIPs.


FIGURE 3.17 Azure Stack virtual IP addressing.

Hyper-V Network Virtualization (HNV) in Azure Stack

Figure 3.18 represents how inbound and outbound network traffic flows to the SDN layer of Azure Stack. The transit network interacts directly with the network switch, creating a BGP relationship and routing the traffic to the next hop end-point from the physical switch into the SDN stack. The traffic is then routed through the vSwitch up to the VMs, which are running the SDN infrastructure in Azure Stack. The SLB has VIP mappings to the tenant workloads and rewrites the network traffic to the designated tenant VMs.


FIGURE 3.18 Azure Stack Hyper-V Network virtualization architecture.

Physical to Logical Switch Transition

Figure 3.19 depicts the network traffic transition from physical switch to logical switch. The SLB has a separate BGP instance with its own ASN number. From a physical switch standpoint, it is just another switch. When there are multiple scale units, present traffic should travel through the aggregated switches. If you lose an aggregate switch in the first scale unit, the routing comes in on the second one; Azure Stack should then be able to route through the whole infrastructure despite the failure. BGP is utilized in the figure in the second scale unit, through the TOR switch and SLB. The ASN number in both SLBs is the same, so to the physical topology, traffic travels through the same physical switch from a routing standpoint.


FIGURE 3.19 Azure Stack physical-to-logical switch translation.

Software-Defined Networking in Azure Stack

Azure Stack builds upon the Windows Server 2016 SDN implementation. By implementing SDN, you can configure both physical and virtual network devices. Core elements of Azure Stack SDN infrastructure include Hyper-V Virtual Switch, Hyper-V Network Virtualization, and RAS Gateway. Although the existing physical switches, routers, and other hardware devices can still be used independently, deeper integration can be achieved between the virtual network and the physical network in Azure Stack, as these devices are designed for compatibility with software-defined networking.

SDN implementation in Azure Stack is possible since the three network planes—the management, control, and data planes—are independent of the network devices themselves, but abstracted for use by other entities such as Azure Stack. SDN allows Azure Stack to dynamically manage its data center network to provide an automated, centralized mechanism to meet the requirements of the applications and workloads. SDN in Azure Stack provides the following capabilities:

  • The ability to abstract applications and workloads from the underlying physical network, by virtualizing the network. Just as with server virtualization using Hyper-V, the abstractions are consistent and work with the applications and workloads in a non-disruptive manner. In fact, software-defined networking provides virtual abstractions for Azure Stack’s physical network elements, such as IP addresses, switches, and load balancers.

  • The ability to centrally define and control policies that govern both physical and virtual networks, including traffic flow between these two network types.

  • The ability to implement network policies in a consistent manner at scale, even as you deploy new workloads or move workloads across virtual or physical networks in Azure Stack.

Figure 3.20 shows the high-level topology of Azure Stack SDN implementation.


FIGURE 3.20 Azure Stack SDN implementation explained.

Figures 3.21 and 3.22 explain how the SDN architecture in Azure Stack is designed to provide hyper-scale networking capacities similar to Azure. In the management plane, ARM handles the authentication, authorization, and orchestration, and in turn communicates directly with the NRP. NRP, like other foundational resource providers in Azure Stack, is a web service that provides a foundation for all Azure-based IaaS and PaaS services. ARM relies on different resource providers to provide access to Azure Stack’s services.


FIGURE 3.21 Azure Stack SDN high-level architecture.


FIGURE 3.22 Azure Stack SDN detailed architecture.

The NRP possesses a series of SDN and network function virtualization (NFV) features to Azure Stack. These are consistent with Azure, enabling application templates to be written once and deployed both in Azure or Azure Stack. The network resource provider offers more granular network control, metadata tags, faster configuration, and rapid and repeatable customization. It also supports multiple control interfaces such as PowerShell, .NET SDK, Node.JS SDK, REST-based API, and so on.

The network controller resides in the control plane, and is designed with Azure in mind. It is a highly available and scalable server role, and provides an API that allows it to communicate with the Azure Stack network, and a second API that allows you to communicate with the network controller. The network controller communicates with the network layer using a south-bound API, which can discover, detect, and gather all information regarding network devices and services in the Azure Stack SDN implementation. The south-bound API also provides a channel to send information back to the physical network infrastructure, such as network configuration changes in Azure Stack.

The data plane, also known as the forwarding plane, is a set of hosts that perform the ground level traffic operations in SDN, such as forwarding the traffic to the next hop along the path to the selected destination network according to the control plane logic.

The network controller performs the bulk of the heavy operations in the SDN stack. SDN in Azure Stack is a componentized architecture, is not monolithic, and consists of a set of binaries and services that work together to build the SDN implementation in Azure Stack.

VNets in Azure Stack allow you to deploy your own network. They are completely isolated from one another, allowing you to create disjointed networks for development, testing, and production that all use the same CIDR address blocks. Using VNets, you can create subnets with your private or public IP address spaces.

By default, Internet access in a VNet is provided through NAT and does not require a gateway.

Another important consideration in VNets is how Azure Stack performs name resolution. Azure Stack has an internal DNS name resolution mechanism for instances deployed in tenant VNet. Tenants can also use their own DNS servers and configure the subsequent VNets to use with them. Security in VNets is provided through network security groups that control which traffic can enter or exit the tenant VNets.

VNets in Azure Stack support for VXLAN or NVGRE encapsulation formats (VXLAN is the default), and the Virtual Network Manager module in the network controller manages CA/PA mappings. Packet processing occurs on the Azure Stack host(s).

Figure 3.23 explains the communication flow of an Azure Stack VNET.


FIGURE 3.23 Azure Stack VNet architecture implementation.

Software Load Balancer (SLB)

In Azure Stack, SLB performs the duties of a layer 4 load balancer and balances multiple network requests among hosts via a VIP. It also load balances among one or more VM instances and allows port redirection, SLB control traffic to endpoints with inbound NAT rules, and provides outbound (NAT) connectivity to the Internet while providing high availability for workloads with failover.

SLB maps VIPs to dynamic IP addresses (DIPs). VIPs are single IP addresses providing public access to a pool of load-balanced VMs. These IP addresses can be exposed on the Internet so Azure Stack service providers and tenants can connect to available resources.

DIPs are the IP addresses of the VMs of a load-balanced pool behind a VIP. They are assigned within the cloud infrastructure to tenant resources. VIPs are in the SLB multiplexer (MUX). The MUX consists of one or more VMs and the network controller provides each MUX with a VIP. Each MUX uses border gateway protocol (BGP) to advertise each VIP to routers on the physical network as a /32 route.

Figure 3.24 displays the communication flow of an Azure Stack software load balancer.


FIGURE 3.24 Azure Stack SLB architecture.

Virtual Network Gateways

The implementation of virtual network gateways in Azure Stack is slightly different from that of Azure. The SDN capabilities of Windows Server 2016 allow Azure Stack to provide virtual network gateway capabilities in Azure while the underlying infrastructure is scaled down into a much smaller set.

Gateways in Azure Stack are designed to allow cross-premise connectivity capacities such as site-to-site (S2S) VPN. Azure Stack leverages the multi-tenant gateway capabilities of Windows Server 2016 and provides high availability through an M+N model (active/passive).

A gateway manager balances load across gateway instances, monitors health, and handles failover in the event any active instance fails.

Figure 3.25 shows the network traffic flow from a virtual network gateway to the virtual NIC of a virtual machine in Azure Stack.


FIGURE 3.25 Azure Stack gateway architecture.


iDNS in Azure Stack allows you to resolve external DNS names (such as http://www.google.com). It also allows you to register internal virtual network names. This lets you resolve VMs on the same virtual network by name, rather than IP address, without having to provide custom DNS server entries.

iDNS in Azure Stack can provide the following, without needing to specify custom DNS server entries:

  • Shared DNS name resolution services for tenant workloads.

  • Authoritative DNS service for name resolution and DNS registration within the tenant virtual network.

  • Recursive DNS service for resolution of Internet names from tenant VMs. Tenants no longer need to specify custom DNS entries to resolve Internet names (for example, www.google.com).

You can always use your own DNS and use custom DNS servers if required. However, if you just want to resolve Internet DNS names and to connect to other virtual machines in the same virtual network, there is no need to specify anything in the network configuration and resolution will just work using iDNS.

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