Understanding the Total Cost of Ownership
Whether you're just beginning your journey in Azure or are already managing workloads in the cloud, it's essential to ground your strategy in proven guidance. The Microsoft Cloud Adoption Framework for Azure offers a comprehensive set of best practices, documentation, and tools to help you align your cloud adoption efforts with business goals. One of the foundational steps in this journey is understanding the financial implications of cloud migration. When evaluating the migration of workloads to Azure, calculating the Total Cost of Ownership (TCO) is a crucial step. TCO is a comprehensive metric that includes all cost components over the life of the resource. A well-constructed TCO analysis can provide valuable insights that aid in decision-making and drive financial efficiencies. By understanding the comprehensive costs associated with moving to Azure, you can make informed choices that align with your business goals and budget. Here is a breakdown of the main elements that you need to build your own TCO: 1. Current infrastructure configuration: Servers: details about your existing servers, including the number of servers, their specifications (CPU, memory, storage), and operating systems. Databases: information about your current databases, such as the type, size, and any associated licensing costs. Storage: type and amount of storage you are currently using, including any redundancy or backup solutions. Network Traffic: Account for outbound network traffic and any associated costs. 2. Azure Environment Configuration: Virtual Machines (VMs): appropriate Azure VMs that match your current server specifications. This has to be based on CPU, memory, storage, and region. Storage Options: type of storage (e.g., Standard HDD, Premium SSD), access tiers, and redundancy options that align with your needs. Networking: networking components, including virtual networks, load balancers, and bandwidth requirements. 3. Operational Costs: Power and Cooling: Estimate the costs associated with power and cooling for your on-premises infrastructure. IT Labor: Include the costs of IT labor required to manage and maintain your current infrastructure. Software Licensing: Account for any software licensing costs that will be incurred in both the current and Azure environments. Once you have more clarity of these inputs you can complement your analysis with other tools depending on your needs. The Azure Pricing Calculator is well suited to providing granular cost estimation for different Azure services and products. However, if the intent is to estimate cost and savings during migrations, Azure Migrate business case feature should be the preferred approach as it will allow the user to perform detailed financial analysis (TCO/ROI) for the best path forward and assess readiness to move workloads to Azure with confidence. Understand your Azure costs The Azure pricing calculator is a free cost management tool that allows users to understand and estimate costs of Azure Services and products. It serves as the only unauthenticated experience that allows you to configure and budget the expected cost of deploying solutions in Azure The Azure pricing calculator is key for properly adopting Azure. Whether you are in a discovery phase and trying to figure out what to use, what offers to apply or in a post purchase phase where you are trying to optimize your environment and see your negotiated prices, the azure pricing calculator fulfills both new users and existing customers' needs. The Azure pricing calculator allows organizations to plan and forecast cloud expenses, evaluate different configurations and pricing models, and make informed decisions about service selection and deployment options. Decide, plan, and execute your migration to Azure Azure Migrateis Microsoft’s free platform for migrating to and modernizing in Azure. It provides capabilities for discovery, business case (TCO/ROI), assessments, planning and migration in a workload agnostic manner. Customers must have an Azure account and create a migration project within the Azure portal to get started. Azure Migrate supports various migration scenarios, including for VMware and Hyper-V virtual machines (VM), physical servers, databases, and web apps. The service offers accurate appliance based and manual discovery options, to cater to customer needs. The Azure Migrate process consists of three main phases: Decide, Plan, and Execute. In the Decide phase, organizations discover their IT estate through several supported methods and can get a dependency map for their applications to help collocate all resources belonging to an application. Using the data discovered, one can also estimate costs and savings through the business case (TCO/ROI) feature. In the Plan phase, customers can assess for readiness to migrate, get right-sized recommendations for targets in Azure and tools to use for their migration strategy (IaaS/PaaS). Users can also create a migration plan consisting of iterative “waves” where each wave has all dependent workloads for applications to be moved during a maintenance window. Finally, the Execute phase focuses on the actual migration of workloads to a test environment in Azure in a phased manner to ensure a non-disruptive and efficient transition to Azure. A crucial step in the Azure Migrate process is building a business case prior to the move, which helps organizations understand the value Azure can bring to their business. The business case capability highlights the total cost of ownership (TCO) with discounts and compares cost and savings between on-premises and Azure including end-of-support (EOS) Windows OS and SQL versions. It provides year-on-year cash flow analysis with resource utilization insights and identifies quick wins for migration and modernization with an emphasis on long-term cost savings by transitioning from a capital expenditure model to an operating expenditure model, paying only for what is used. Understanding the Total Cost of Ownership (TCO) is essential for making informed decisions when migrating workloads to Azure. By thoroughly evaluating all cost components, including infrastructure, operational, facilities, licensing and migration costs, organizations can optimize their cloud strategy and achieve financial efficiencies. Utilize tools like the Azure Pricing Calculator and Azure Migrate to gain comprehensive insights and ensure a smooth transition to the cloud.News and updates from FinOps X 2024: How Microsoft is empowering organizations
Last year, I shared a broad set of updates that showcased how Microsoft is embracing FinOps practitioners through education, product improvements, and innovative solutions that help organizations achieve more. with AI-powered experiences like Copilot and Microsoft Fabric. Whether you’re an engineer working in the Azure portal or part of a business or finance team collaborating in Microsoft 365 or analyzing data in Power BI, Microsoft Cloud has the tools you need to accelerate business value for your cloud investments.How to choose the right reserved instance in Azure
Are you considering committing to a reserved instance in Azure? Our guide will help you make an informed decision by providing insights on the benefits, flexibility, and limitations of reserved instances. Learn about the steps to evaluate and purchase a reserved instance, the tools and services to optimize and manage them, and the alternative options available. Make the most of your investment with our comprehensive guide to Azure Reserved Instances.Optimizing your Azure VMs – 3 Simple Steps to Cloud Efficiency
Virtual machines are arguably still one of the most fundamental core infrastructure components when it comes to cloud computing. Whether you are hosting databases, custom apps, runner jobs, or leveraging them as nodes for your container hosts, VMs are core to your arsenal of options. At the same time, given they are designed to host operating systems, and come in all shapes and sizes, they are one of the core areas of Azure compute you should aim to optimize as quickly as possible as part of your FinOps: Cloud Efficiency initiatives.
Announcing savings plan for databases: flexible savings for modern, evolving workloads
As organizations modernize their data platforms, database environments are constantly changing. Teams migrate between services, scale across regions, and evolve architectures to support new applications and AI driven workloads. But optimizing costs in these environments can be challenging, especially when savings options require locking into specific services, regions, or configurations. To help with these challenges, we’re introducing savings plan for databases, a new way to save on eligible database services while maintaining the flexibility needed to modernize and grow your business. Savings plan for databases helps IT, engineering, and FinOps teams reduce database costs with a simple, spend based commitment—without slowing down architectural change. What is savings plan for databases? Savings plan for databases is a spend based pricing model that enables customers to save on eligible database services by committing to a fixed hourly spend for one year. In return, customers receive lower prices—up to 35% compared to pay-as-you go pricing on select services*. Instead of committing to a specific database service, region, or configuration, customers commit to an hourly dollar amount (for example, $5 per hour). The plan automatically applies savings to eligible database usage each hour, prioritizing the usage that delivers the greatest savings first—across services and regions—until the hourly commitment is met. Any usage beyond the commitment continues at pay-as-you go rates, ensuring flexibility as needs change. Pricing is for illustrative purposes only. Benefits designed for modern database workloads Flexibility as environments evolve Savings plan for databases is designed for change. Savings continue to apply as workloads modernize or move across regions—without requiring customers to repurchase or reconfigure commitments. This makes it well suited for dynamic environments where architectures are expected to evolve over time. Automatic cost optimization With a single hourly commitment, customers unlock discounted prices on eligible database usage. Savings are applied automatically each hour, ensuring customers get the most value from their commitment without manual management or constant tuning. Predictable budgeting and forecasting A fixed hourly spend replaces variable pay-as-you-go costs with a predictable commitment, making it easier for FinOps and IT finance teams to forecast spend, plan budgets, and manage cloud investments with confidence. What services that are covered with the savings plan for databases: Savings plan for databases pricing How to purchase a savings plan for databases Getting started is simple: Review personalized recommendations in the Azure portal based on recent database usage. Choose an hourly commitment and scope it into a subscription, resource group, management group, or entire account. Select a payment option—pay monthly or upfront at no additional cost—and optionally enable auto‑renewal. Once purchased, savings are applied automatically to eligible database usage every hour. Learn more here on how to purchase a savings plans here. Example: saving while modernizing Consider a team running a global application that uses Azure SQL Database and Azure Database for PostgreSQL today, with plans to expand into additional regions over the next year. Instead of purchasing individual reservations tied to specific services or regions, the team purchases a 1‑year savings plan for databases with a $5/hour commitment. As usage shifts across database services and regions, Azure automatically applies discounted prices to eligible usage up to the hourly commitment. The team continues modernizing without disruption—while benefiting from predictable savings. Summary Savings plan for databases provides a new way to optimize database costs —without locking into fixed architectures. With hourly commitments, automatic optimization, and predictable costs, it’s designed to support modernization today and continued growth tomorrow. Get started You can begin saving today: View your recommendation in Azure Advisor Purchase a plan in Azure portal Visit the Savings plan homepage Review the Microsoft Documentation Watch demo videos at the Azure Essentials Show *Customers may see savings estimated to be between 0% and 35%. The 35% savings estimate is based on one Azure SQL Database serverless running for 12 months at a pay-as-you-go rate vs. a reduced rate for a 1-year savings plan. Based on Azure pricing as of March 2026. Prices are subject to change. Actual savings may vary based on location, database service, and/or usage. ** Note that savings plan for databases will also be consumed by SQL Server on Azure Virtual Machines and SQL Server enabled by Azure Arc hourly license at the normal pay-go price.Microsoft Agent Pre-Purchase Plan: One Unified Path to Scale AI Agents
AI is now essential, and at Microsoft Ignite 2025, we introduced a new foundation for intelligent agents: Work IQ, Fabric IQ, and Foundry IQ. These three IQs represent the intelligence layer that gives agents deep context; understanding how people work, connecting to enterprise data, and orchestrating knowledge across platforms. Together with the launch of Microsoft Agent Factory, organizations now have a unified program to build, deploy, and manage agents powered by these IQs. Microsoft Agent Pre-Purchase Plan (P3) is designed to for organizations looking to confidently invest in AI agent development with a single, predictable budget. It empowers businesses to experiment, build, and scale sophisticated AI agents without the friction of fragmented licensing or unexpected costs. By unifying access to agentic services across Microsoft Foundry, Microsoft Copilot Studio*, Microsoft Fabric, and GitHub, Microsoft Agent P3 empowers organizations to harness the full potential of the IQ layer thus removing barriers and unlocking the value of truly intelligent, context-driven agents. What is Microsoft Agent Pre-Purchase Plan and how to does it work? Microsoft Agent P3 is a one-year pay-upfront option. Customers commit upfront to a lump-sum pool of Agent Commit Units (ACU) that can be used at any time during the one-year term. Every time you consume eligible services across Microsoft Foundry, Microsoft Copilot Studio*, Microsoft Fabric, and GitHub, the ACUs are automatically drawn down from your P3 balance. If you use up your balance before the year ends, you can add another P3 plan or switch to pay-as-you-go. If you don’t use all your credits by the end of the year, the remaining balance expires. Pricing* *Pricing as of November 2025, subject to change. **Example if Microsoft Copilot Studio generates a retail cost of $100 based on Copilot Credit and Microsoft Foundry usage, then 100 Agent CUs (ACUs) are consumed. What is covered by the Microsoft Agent Pre-Purchase Plan? * List as of February 2026, subject to change ** Currently in Private Preview *** Covers Copilot Credits enabled agentic services: Microsoft Copilot Studio, Dynamics 365 first-party agents, and Copilot. Microsoft reserves the right to update Copilot Credit eligible products. Customer Example Suppose a customer expects to consume 1,500,000 Copilot Credit with custom agents created in Microsoft Copilot Studio. Assuming the pay-as-you-go rate for Copilot Credit to be $0.01, then at the pay-as-you-go rate, this will cost $15,000. In addition, if they are using 5000 Microsoft Foundry Provisioned Throughput Units (PTU) and assuming the pay-as-you-go rate for PTU to be $1, then at the pay-as-you-go rate, this will cost $5,000. By purchasing Tier 1 (20,000 ACUs) Microsoft Agent P3 at the cost of $19,000, it will give a 5% saving compared to the pay-as-you-go rate for the same usage. How to purchase a Microsoft Agent Pre-Purchase Plan? Sign in to the Azure portal →Reservations → + Add → Microsoft Agent Pre-Purchase Plan. Select your subscription and scope Choose your tier and complete payment. What sets Microsoft Agent Pre-Purchase Plan apart? At the heart of Microsoft Agent Pre-Purchase Plan are four pillars that redefine how organizations consume AI services: One Plan: A single offer that spans Microsoft Foundry, Microsoft Copilot Studio*, Microsoft Fabric, and GitHub. No more siloed credits or SKU-level complexity, just one pool for all your AI workloads. Breadth of Services: Access to 30+ services, from Azure AI Search and Cognitive Services to orchestration tools and Copilot-enabled experiences. One Governance Path: Simplifies procurement and budget management. Procurement teams gain visibility and control without sacrificing agility. Predictable Savings: Get discounts and avoid surprises when you choose this plan. Conclusion The Microsoft Agent Pre-Purchase Plan is designed to make your AI journey simpler, smarter, and more cost-effective. By combining the strengths of Microsoft Foundry, Microsoft Copilot Studio*, Microsoft Fabric, and GitHub into a single, unified offer, the plan eliminates the need to choose one platform or manage multiple contracts. Organizations benefit from predictable budgeting, streamlined procurement, and the flexibility to innovate across more than 30+ agentic services—all with one pool of funds. Whether you’re just starting with AI or scaling enterprise-wide adoption, the Microsoft Agent Pre-Purchase Plan empowers you to unlock the full value of Microsoft’s agentic platform—driving innovation, efficiency, and business impact. And with support for agents built on Work IQ, Fabric IQ, and Foundry IQ, customers can be confident their solutions are grounded in the latest intelligence announced at Ignite. What’s next Read the Microsoft Agent P3 Offer MS Learn Doc Purchase Microsoft Agent P3 in your Azure Portal * Covers Copilot Credits enabled agentic services: Microsoft Copilot Studio, Dynamics 365 first-party agents, and Copilot. Microsoft reserves the right to update Copilot Credit eligible products
