Managing Access to Multiple VRFs from Azure VNETs
The document outlines methodologies for managing access to multiple VRFs from Azure VNETs, detailing various scenarios and their respective solutions. It covers single VRF access, multiple VRFs without IP overlap, multiple VRFs with a single Hub, and multiple VRFs with IP overlap, providing comprehensive solutions for different use casesA Guide to Azure Data Transfer Pricing
Understanding Azure networking charges is essential for businesses aiming to manage their budgets effectively. Given the complexity of Azure networking pricing, which involves various influencing factors, the goal here is to bring a clearer understanding of the associated data transfer costs by breaking down the pricing models into the following use cases: VM to VM VM to Private Endpoint VM to Internal Standard Load Balancer (ILB) VM to Internet Hybrid connectivity Please note this is a first version, with a second version to follow that will include additional scenarios. Disclaimer: Pricing may change over time, check the public Azure pricing calculator for up-to-date pricing information. Actual pricing may vary depending on agreements, purchase dates, and currency exchange rates. Sign in to the Azure pricing calculator to see pricing based on your current program/offer with Microsoft. 1. VM to VM 1.1. VM to VM, same VNet Data transfer within the same virtual network (VNet) is free of charge. This means that traffic between VMs within the same VNet will not incur any additional costs. Doc. Data transfer across Availability Zones (AZ) is free. Doc. 1.2. VM to VM, across VNet peering Azure VNet peering enables seamless connectivity between two virtual networks, allowing resources in different VNets to communicate with each other as if they were within the same network. When data is transferred between VNets, charges apply for both ingress and egress data. Doc: VM to VM, across VNet peering, same region VM to VM, across Global VNet peering Azure regions are grouped into 3 Zones (distinct from Avaialbility Zones within a specific Azure region). The pricing for Global VNet Peering is based on that geographic structure. Data transfer between VNets in different zones incurs outbound and inbound data transfer rates for the respective zones. When data is transferred from a VNet in Zone 1 to a VNet in Zone 2, outbound data transfer rates for Zone 1 and inbound data transfer rates for Zone 2 will be applicable. Doc. 1.3. VM to VM, through Network Virtual Appliance (NVA) Data transfer through an NVA involves charges for both ingress and egress data, depending on the volume of data processed. When an NVA is in the path, such as for spoke VNet to spoke VNet connectivity via an NVA (firewall...) in the hub VNet, it incurs VM to VM pricing twice. The table above reflects only data transfer charges and does not include NVA/Azure Firewall processing costs. 2. VM to Private Endpoint (PE) Private Endpoint pricing includes charges for the provisioned resource and data transfer costs based on traffic direction. For instance, writing to a Storage Account through a Private Endpoint incurs outbound data charges, while reading incurs inbound data charges. Doc: 2.1. VM to PE, same VNet Since data transfer within a VNet is free, charges are only applied for data processing through the Private Endpoint. Cross-region traffic will incur additional costs if the Storage Account and the Private Endpoint are located in different regions. 2.2. VM to PE, across VNet peering Accessing Private Endpoints from a peered network incurs only Private Link Premium charges, with no peering fees. Doc. VM to PE, across VNet peering, same region VM to PE, across VNet peering, PE region != SA region 2.3. VM to PE, through NVA When an NVA is in the path, such as for spoke VNet to spoke VNet connectivity via a firewall in the hub VNet, it incurs VM to VM charges between the VM and the NVA. However, as per the PE pricing model, there are no charges between the NVA and the PE. The table above reflects only data transfer charges and does not include NVA/Azure Firewall processing costs. 3. VM to Internal Load Balancer (ILB) Azure Standard Load Balancer pricing is based on the number of load balancing rules as well as the volume of data processed. Doc: 3.1. VM to ILB, same VNet Data transfer within the same virtual network (VNet) is free. However, the data processed by the ILB is charged based on its volume and on the number load balancing rules implemented. Only the inbound traffic is processed by the ILB (and charged), the return traffic goes direct from the backend to the source VM (free of charge). 3.2. VM to ILB, across VNet peering In addition to the Load Balancer costs, data transfer charges between VNets apply for both ingress and egress. 3.3. VM to ILB, through NVA When an NVA is in the path, such as for spoke VNet to spoke VNet connectivity via a firewall in the hub VNet, it incurs VM to VM charges between the VM and the NVA and VM to ILB charges between the NVA and the ILB/backend resource. The table above reflects only data transfer charges and does not include NVA/Azure Firewall processing costs. 4. VM to internet 4.1. Data transfer and inter-region pricing model Bandwidth refers to data moving in and out of Azure data centers, as well as data moving between Azure data centers; other transfers are explicitly covered by the Content Delivery Network, ExpressRoute pricing, or Peering. Doc: 4.2. Routing Preference in Azure and internet egress pricing model When creating a public IP in Azure, Azure Routing Preference allows you to choose how your traffic routes between Azure and the Internet. You can select either the Microsoft Global Network or the public internet for routing your traffic. Doc: See how this choice can impact the performance and reliability of network traffic: By selecting a Routing Preference set to Microsoft network, ingress traffic enters the Microsoft network closest to the user, and egress traffic exits the network closest to the user, minimizing travel on the public internet (“Cold Potato” routing). On the contrary, setting the Routing Preference to internet, ingress traffic enters the Microsoft network closest to the hosted service region. Transit ISP networks are used to route traffic, travel on the Microsoft Global Network is minimized (“Hot Potato” routing). Bandwidth pricing for internet egress, Doc: 4.3. VM to internet, direct Data transferred out of Azure to the internet incurs charges, while data transferred into Azure is free of charge. Doc. It is important to note that default outbound access for VMs in Azure will be retired on September 30 2025, migration to an explicit outbound internet connectivity method is recommended. Doc. 4.4. VM to internet, with a public IP Here a standard public IP is explicitly associated to a VM NIC, that incurs additional costs. Like in the previous scenario, data transferred out of Azure to the internet incurs charges, while data transferred into Azure is free of charge. Doc. 4.5. VM to internet, with NAT Gateway In addition to the previous costs, data transfer through a NAT Gateway involves charges for both the data processed and the NAT Gateway itself, Doc: 5. Hybrid connectivity Hybrid connectivity involves connecting on-premises networks to Azure VNets. The pricing model includes charges for data transfer between the on-premises network and Azure, as well as any additional costs for using Network Virtual Appliances (NVAs) or Azure Firewalls in the hub VNet. 5.1. H&S Hybrid connectivity without firewall inspection in the hub For an inbound flow, from the ExpressRoute Gateway to a spoke VNet, VNet peering charges are applied once on the spoke inbound. There are no charges on the hub outbound. For an outbound flow, from a spoke VNet to an ER branch, VNet peering charges are applied once, outbound of the spoke only. There are no charges on the hub inbound. Doc. The table above does not include ExpressRoute connectivity related costs. 5.2. H&S Hybrid connectivity with firewall inspection in the hub Since traffic transits and is inspected via a firewall in the hub VNet (Azure Firewall or 3P firewall NVA), the previous concepts do not apply. “Standard” inter-VNet VM-to-VM charges apply between the FW and the destination VM : inbound and outbound on both directions. Once outbound from the source VNet (Hub or Spoke), once inbound on the destination VNet (Spoke or Hub). The table above reflects only data transfer charges within Azure and does not include NVA/Azure Firewall processing costs nor the costs related to ExpressRoute connectivity. 5.3. H&S Hybrid connectivity via a 3rd party connectivity NVA (SDWAN or IPSec) Standard inter-VNet VM-to-VM charges apply between the NVA and the destination VM: inbound and outbound on both directions, both in the Hub VNet and in the Spoke VNet. 5.4. vWAN scenarios VNet peering is charged only from the point of view of the spoke – see examples and vWAN pricing components. Next steps with cost management To optimize cost management, Azure offers tools for monitoring and analyzing network charges. Azure Cost Management and Billing allows you to track and allocate costs across various services and resources, ensuring transparency and control over your expenses. By leveraging these tools, businesses can gain a deeper understanding of their network costs and make informed decisions to optimize their Azure spending.Achieve high-bandwidth, private, and seamless Microsoft Azure connectivity
Multicloud computing is revolutionizing enterprise IT, enabling businesses to harness the strengths of different public cloud providers for greater agility, performance, and cost efficiency. However, without the right connectivity strategy, organizations risk increased complexity, higher latency, and security vulnerabilities—ultimately undermining the benefits of a multicloud approach. Together, Microsoft and Equinix provide a complete platform for multicloud networking with all the ingredients you need to achieve a best-case mix of performance, security, cost-effectiveness, and flexibility. Join us for a two-part webinar series where Equinix and Microsoft experts will guide you through best practices for seamless, secure, and high-performance multicloud networking. Learn how to optimize connectivity, reduce data egress costs, and unlock the full potential of Azure and Equinix’s global interconnection ecosystem. Webinar 1: Key Considerations for Optimized Microsoft Azure Connectivity Summary Achieve high-bandwidth, private, and seamless Microsoft Azure connectivity. As organizations modernize their IT infrastructure, hybrid cloud has emerged as the preferred solution for ensuring scalability, security, and performance. However, just as critical as deciding where to place specific workloads is determining how everything will be connected. Join experts from Microsoft, Equinix and Enterprise Strategy Group as they reveal five key cloud migration considerations for 2025 to help you: Prioritize essential network capabilities Manage top cost drivers Improve network scalability and simplicity Increase app performance Our speakers: Jim Frey – Principal Analyst, Enterprise Strategy Group Jim has over 30 years of experience in networking and software product development, including senior leadership roles in partner marketing at Kentik Technologies. He has also held executive positions in industry research, marketing, and product management. Jim holds a BSc in Engineering from the Colorado School of Mines and an MSc in Computer and Information Sciences from Rensselaer Polytechnic Institute. Kevin Lopez – Director of Solution Sales, Microsoft Azure Kevin is a seasoned leader with over 30 years in sales and business development. He joined Microsoft in 2007 and has held various roles, including Technical Architect and Azure Global Black Belt team member. Currently, he leads the Azure Network Security Global Black Belt team for the Americas is involved in Microsoft Worldwide Learning and social change initiatives. Brian Petit – Principal Solution Architect, Equinix Brian is a hybrid multicloud network professional with decades of experience in data networking infrastructure design, deployment, and applications. As the Senior Principal Solutions Architect dedicated to Microsoft at Equinix, he has responsibility for overall platform integration and alignment with Azure. Learn how to optimize hybrid cloud connectivity with Microsoft Azure ExpressRoute in Equinix. Reserve your spot: Date: Thursday, March 13, 2025 Time (AMER): 10:00 AM Pacific Daylight Time Time (EMEA): 11:00 AM Central European Time Time (APAC): 11:00 AM Singapore Time Duration: 1 hour Webinar 2: Explore Microsoft Azure ExpressRoute use cases and reference architectures Summary Explore Microsoft Azure ExpressRoute use cases and reference architectures Migrating to Azure while managing a hybrid multicloud strategy can be complex, with challenges around network performance, security, and cost optimization. In this technical webinar, Microsoft and Equinix experts will showcase real-world Azure ExpressRoute customer use cases, demonstrating how businesses are overcoming these hurdles to migrate faster, more securely, and cost-effectively—all while maintaining seamless connectivity between on-prem, Microsoft Azure and other clouds. Learn how to: Leverage cloud-adjacent architectures Minimize egress costs Improve network performance Ensure data sovereignty and compliance Our speakers: Mays Algebary – Global Black Belt, Microsoft Azure Mays is a cloud network security professional with a decade of experience safeguarding enterprise infrastructures. As a Global Black Belt at Microsoft, she is an expert in zero-trust architectures, secure cloud networking, and migration strategies. Mays works closely with organizations to strengthen their security posture, minimize risks, and ensure seamless, high-performance cloud connectivity. Brian Petit – Sr. Principal Solution Architect, Equinix Brian is a hybrid multicloud network professional with decades of experience in data networking infrastructure design, deployment, and applications. As the Senior Principal Solutions Architect dedicated to Microsoft at Equinix, he has responsibility for overall platform integration and alignment with Azure. RSVP today to learn how Equinix and Azure can help you migrate with confidence, ensuring seamless connectivity, performance, and security across your hybrid multicloud infrastructure. Reserve your spot: Date: Thursday, March 20, 2025 Time (AMER): 10:00 AM Pacific Daylight Time Time (EMEA): 11:00 AM Central European Time Time (APAC): 11:00 AM Singapore Time Duration: 30 minutesIntroducing Copilot in Azure for Networking: Your AI-Powered Azure Networking Assistant
As cloud networking grows in complexity, managing and operating these services efficiently can be tedious and time consuming. That’s where Copilot in Azure for Networking steps in, a generative AI tool that simplifies every aspect of network management, making it easier for network administrators to stay on top of their Azure infrastructure. With Copilot, network professionals can design, deploy, and troubleshoot Azure Networking services using a streamlined, AI-powered approach. A Comprehensive Networking Assistant for Azure We’ve designed Copilot to really feel like an intuitive assistant you can talk to just like a colleague. Copilot understands networking-related questions in simple terms and responds with actionable solutions, drawing from Microsoft’s expansive networking knowledge base and the specifics of your unique Azure environment. Think of Copilot as an all-encompassing AI-Powered Azure Networking Assistant. It acts as: Your Cloud Networking Specialist by quickly answering questions about Azure networking services, providing product guidance, and configuration suggestions. Your Cloud Network Architect by helping you select the right network services, architectures, and patterns to connect, secure, and scale your workloads in Azure. Your Cloud Network Engineer by helping you diagnose and troubleshoot network connectivity issues with step-by-step guidance. One of the most powerful features of Copilot in Azure is its ability to automatically diagnose common networking issues. Misconfigurations, connectivity failures, or degraded performance? Copilot can help with step-by-step guidance to resolve these issues quickly with minimal input and assistance from the user, simply ask questions like ”Why can’t my VM connect to the internet?”. As seen above, upon the user identifying the source and destination, Copilot can automatically discover the connectivity path and analyze the state and status of all the network elements in the path to pinpoint issues such as blocked ports, unhealthy network devices, or misconfigured Network Security Groups (NSGs). Technical Deep Dive: Contextualized Responses with Real-Time Insights When users ask a question on the Azure Portal, it gets sent to the Orchestrator. This step is crucial to generating a deep semantic understanding of the user’s question, reasoning over all Azure resources, and then determining that the question requires Network-specific capabilities to be answered. Copilot then collects contextual information based on what the user is looking at and what they have access to before dispatching the question to the relevant domain-specific plugins. Those plugins then use their service-specific capabilities to answer the user’s question. Copilot may even combine information from multiple plugins to provide responses to complex questions. In the case of questions relevant to Azure Networking services, Copilot uses real-time data from sources like diagnostic APIs, user logs, Azure metrics, Azure Resource Graph etc. all while maintaining complete privacy and security and only accessing what the user can access as defined in Azure Role based Access Control (RBAC) to help generate data-driven insights that help keep your network operating smoothly and securely. This information is then used by Copilot to help answer the user’s question via a variety of techniques including but not limited to Retrieval-Augmented Generation (RAG) and grounding. To learn more about how Copilot works, including our Responsible AI commitments, see Copilot in Azure Technical Deep Dive | Microsoft Community Hub. Summary: Key Benefits, Capabilities and Sample Prompts Copilot boosts efficiency by automating routine tasks and offering targeted answers, which saves network administrators time while troubleshooting, configuring and architecting their environments. Copilot also helps organizations reduce costs by minimizing manual work and catching errors while empowering customers to resolve networking issues on their own with AI-powered insights backed by Azure expertise. Copilot is equipped with powerful skills to assist users with network product information and selection, resource inventory and topology, and troubleshooting. For product information, Copilot can answer questions about Azure Networking products by leveraging published documentation, helping users with questions like “What type of Firewall is best suited for my environment?”. It offers tailored guidance for selecting and planning network architectures, including specific services like Azure Load Balancer and Azure Firewall. This guidance also extends to resilience-related questions like “What more can I do to ensure my app gateway is resilient?” involving services such as Azure Application Gateway and Azure Traffic Manager, among others. When it comes to inventory and topology, Copilot can help with questions like “What is the data path between my VM and the internet?” by mapping network resources, visualizing topologies, and tracking traffic paths, providing users with clear topology maps and connectivity graphs. For troubleshooting questions like “Why can’t I connect to my VM from on prem?”, Copilot analyzes both the control plane and data plane, offering diagnostics at the network and individual service levels. By using on-behalf-of RBAC, Copilot maintains secure, authorized access, ensuring users interact only with resources permitted by their access level. Looking Forward: Future Enhancements This is only the first step we are taking toward bringing interactive, generative-AI powered capabilities to Azure Networking services and as it evolves over time, future releases will introduce advanced capabilities. We also acknowledge that today Copilot in preview works better with certain Azure Networking services, and we will continue to onboard more services to the capabilities we are launching today. Some of the more advanced capabilities we are working on include predictive troubleshooting where Copilot will anticipate potential issues before they impact network performance. Network optimization capabilities that suggest ways to optimize your network for better performance, resilience and reliability alongside enhanced security capabilities providing insights into network security and compliance, helping organizations meet regulatory requirements starting with the integration of Security Copilot attack investigation capabilities for Azure Firewall. Conclusion Copilot in Azure for Networking is intended to enhance the overall Azure experience and help network administrators easily manage their Azure Networking services. By combining AI-driven insights with user-friendly interfaces, it empowers networking professionals and users to plan, deploy, and operate their Azure Network. These capabilities are now in preview, see Azure networking capabilities using Microsoft Copilot in Azure (preview) | Microsoft Learn to learn more and get started.ExpressRoute guided configuration of multi-site circuits and connections is generally available
This new experience will help you design a highly resilient ExpressRoute solution easily. This experience integrates resiliency into the process of configuring ExpressRoute circuits and virtual network gateway connections.
Issue with Azure VM Conditional Access for Office 365 and Dynamic Public IP Detection
Hi all, I have a VM in Azure where I need to allow an account with MFA to bypass the requirement on this specific server when using Office 365. I've tried to achieve this using Conditional Access by excluding locations, specifically the IP range of my Azure environment. Although I’ve disconnected any public IPs from this server, the Conditional Access policy still isn’t working as intended. The issue seems to be that it continues to detect a public IP, which changes frequently, making it impossible to exclude. What am I doing wrong?
