Azure Pricing: How to estimate Azure project costs

Azure Pricing: How to estimate Azure project costs

In the previous blog we explained how you can learn about Azure pricing with free services and a pay-as-you-go model. Next, lets understand how you can calculate your project costs when migrating or building a new solution in Azure. We will continue to use the example of Contoso, a hypothetical digital media company, and how they use Azure pricing resources to guide their migration to the cloud.


Accurately Estimate Total Cost of Ownership

Now that Contoso has a better understanding of how Azure pricing works, they need to confirm what solutions they want to migrate. This involves understanding their current infrastructure and applications, defining their goals and requirements, and estimating their project costs on Azure.


Through collaboration and internal alignment, the dev team decided to migrate their media content delivery application and their Data Analytics and Business Intelligence solution. They also decided to build an OpenAI chatbot application in Azure.


Azure provides different tools to help you estimate costs before migrating to the cloud. The Total Cost of Ownership (TCO) Calculator lets you compare costs for running an on-premises infrastructure to an Azure Cloud infrastructure. You enter your current infrastructure configuration (ex: number of servers, storage, storage costs, etc.) and the TCO calculator will compare those costs to anticipated costs when running on Azure.


Customers can also leverage Azure Migrate which provides a simplified migration, modernization, and optimization service for Azure. All pre-migration steps such as discovery, assessments, and right-sizing of on-premises resources are included for infrastructure, data, and applications.


For their migration project Contoso decided to use Azure Migrate to take advantage of the business case capability. This capability builds a business proposal that includes data such as on-premises vs. Azure total cost of ownership, year on year cashflow analysis, and resource utilization based on insight to identify servers and workloads ideal for the cloud. 


To help build the OpenAI Chatbot application they leveraged the Azure Architecture Center to get guidance for architecting solutions using established patterns and practices. Using this direction, they identified which Azure products and services would be needed to run this application, such as Azure OpenAI Service, Virtual Machines, and Azure Cosmos DB.



(Baseline OpenAI end-to-end chat reference architecture)


Prepare for new project and build a plan

Knowing the TCO of running their environment on-premises vs Azure and which specific products and services are needed to run their applications lets Contoso successfully estimate their project costs. However, there are options to budget and save on these costs by leveraging Azure's pricing calculator and benefits. We will discuss these in the next blog.



Additional Resources:

Azure Enablement Show: Learn to budget & optimize in Azure

Blog: Get the best value in your cloud journey with Azure pricing offers and resources

Blog: Azure pricing | How to navigate Azure pricing options and resources

Blog: Azure pricing | How to calculate costs of Azure products and services

Blog: Azure pricing | How to optimize costs for your Azure workloads

Microsoft Learn Training: Compare the Pricing and Total Cost of Ownership calculators

Microsoft Learn: Azure Migrate documentation

Published on:

Learn more
Azure Governance and Management Blog articles
Azure Governance and Management Blog articles

Azure Governance and Management Blog articles

Share post:

Related posts

Azure Update Manager to support CIS hardened images among other images

What’s coming in by end of July 2024: Azure Update Manager will add support for 35 CIS hardened images. This is the first time that Update Man...

6 hours ago

Mastering your cloud journey: Essentials to Innovating, Migrating and Modernizing, on Azure

We are living during a time of rapid growth in AI technologies and seeing cloud complexity increase as a result of those advanced workloads, w...

16 hours ago

Announcing the stable release of Azure Event Grid Namespaces HTTP client libraries

This post announces stable release of the HTTP Azure Event Grid Namespaces client libraries in .NET, Java, JavaScript, Python, and Go. The pos...

21 hours ago

Portal extension for Azure Firewall with DDoS protection

Introduction In the ever-evolving landscape of network security, Azure Firewall has emerged as a key player. As a managed, cloud-based network...

1 day ago

Generative AI with Azure Cosmos DB

Leverage Azure Cosmos DB for generative AI workloads for automatic scalability, low latency, and global distribution to handle massive data vo...

1 day ago

Enhancing Document Extraction with Azure AI Document Intelligence and LangChain for RAG Workflows.

Overview. The broadening of conventional data engineering pipelines and applications to include document extraction and preprocessing for ...

1 day ago

Azure Capacity Reservations with Automatic Consumption

Solving the ask – Automatic Capacity Reservations Historically, the setting to use a Capacity Reservations Groups must be defined while the vi...

1 day ago
Stay up to date with latest Microsoft Dynamics 365 and Power Platform news!
* Yes, I agree to the privacy policy