Azure Cost Management Guide: 3 Steps To Reducing Your Cloud Bill

Published in
8 min readJun 13, 2023


A top choice among teams looking for enterprise-grade cloud services, Azure comes with just as many cost-related complexities as the other major cloud providers. How do you control and reduce your cloud costs? Here are three Azure cost management best practices and tools to help you get started.

Overview of Azure cost management tools

Similar to the other major cloud service providers (AWS and Google Cloud Platform), Azure comes with multiple tools to manage cloud costs. These tools include budget setting, cost analysis, and a nifty pricing calculator, to name a few.

Use them to stay within your budget and gain better control of your finances. Better yet, you may uncover a few unnecessary expenses or other areas in which you can save on your cloud costs.

Azure offers multiple cost management tools natively to users to help them manage cloud spending better. These tools include:

  1. Azure pricing calculator
  2. Cost analysis tool
  3. Budgets
  4. Azure cost management alerts
  5. Azure Advisor

However, these tools might not be enough in the case of a larger cloud footprint — or the need for real-time cost insights!

Keep reading to learn how each tool works and see how they provide a more granular view — allowing you to dissect your spending down to the dollar per second.

Azure pricing calculator

The Azure pricing calculator allows you to estimate the cost of Azure services and resources such as compute, storage, databases, and managed services like Azure Kubernetes Service (AKS).

Simply select the products you’re interested in and fill out the necessary factors for each service/resource (estimated instances, region, number of virtual machines, etc.). You’ll find a quote below, including both upfront and monthly Azure costs.

For organizations that aren’t using Azure yet, the pricing calculator provides a coherent pricing estimate for your chosen package before starting a project.

However, if you’re already using Azure services and resources, you may want to try a few other tools to manage costs better — for example, the cost analysis tool.

Cost analysis tool

The cost analysis tool provides you with a detailed breakdown of your spending on the Azure cloud platform. It allows you to see where your money is going — grouped by resources, tags, and other features. This helps to gain a better understanding of Azure costs — and you may even identify a few anomalies in the process.

If your cloud bill is higher than expected, the Azure cost analysis tool should be your first point of contact.


Managing cloud costs can at times feel like walking on hot pebbles blindfolded. But setting a budget lets you align Azure spending with your requirements, ensuring you don’t spend a penny more than you intended.

To set a budget, open Scope and click the Budgets menu. You can then name your budget and determine the budget amount and time period — either monthly, quarterly, or annually. Be sure to give a name to your budget to keep track of it — the last thing you want is to muddy the waters, not knowing what budget was meant for which project.

A cool feature of Azure budgets is notifications. You can set up notifications when your spending reaches a given percentage of the total budget or when your resources exceed the budget (either entirely or at a given time of the month based on a percentage).

With a budget and alerts set up, you can be confident that you won’t exceed your spending limits. It’ll also help you keep track of your Azure costs by showing how much money you’re actually spending on given resources or other Azure services.

Azure cost management alerts

While there are budget alerts, Azure also includes other cost management alerts that help you keep track of your spending.

For example, you can set alerts for credit and department spending quotas. Credit alerts are automatically set to notify you when you reach 90–100% of your balance, ensuring you don’t capsize your budget.

On the other hand, department spending quotas can be set at a fixed threshold to alert the appropriate department heads (or other employees) when a set percentage of the threshold is met, allowing you to better optimize Azure costs and spending.

Azure Advisor

Finally, we have Azure Advisor — a handy tool that analyzes resource use. It also suggests alternative solutions to help improve cloud performance, security, and cost-effectiveness.

With custom recommendations, you will gain further valuable insights to understand better where your money is going. Having such clarity of your resource expenditure and knowing where you can save is the best path to optimizing Azure costs going forward.

3 Azure cost management strategies for a lower cloud bill

1. Start with cost visibility

Having a clear picture of your current cloud expenses is a key first step to understanding your spending patterns and the real utilization of the cloud resources your team provisions.

Make sure to track these three metrics

Before you spend money on a cost monitoring solution, make sure it contains the following metrics:

  • Real-time costs — cloud providers usually serve cost data with a delay, and Azure is no exception. But if your teams use dynamic cloud-native approaches like Kubernetes, you need access to cost data in real time.
  • Daily cloud spend — this metric is essential for quickly checking your budget burn rate to understand if you’re going to meet your estimation or go beyond the budget you’ve set for the month.

Example: Imagine that you have a $2,000 monthly budget. If your average daily spend is closer to $90 than $66.6 (30 days x $66.6 = $1998), your cloud bill is bound to be higher than you planned.

Example: Your per-provisioned CPU cost is $2. But your cloud application isn’t optimized, and, as a result, your per-requested CPU fee is $10. This suggests you’re running your cluster at a 5x higher cost than planned.

Set up budget alerts and notifications

Another important point to keep in mind is that cloud costs can quickly get out of control. Setting up alerts and notifications when certain areas of your cloud application reach or surpass set thresholds gives you an opportunity to act immediately.

A team at Adobe once raked up a cloud bill of over $500k because of a workload left running unchecked. One alert could have prevented this.

Implement tagging and resource organization

Tags are the sole mechanism for understanding the cost of your cloud environment. Cloud tagging is very important for governance and security as well.

So, it pays to build a cloud tagging strategy that describes the rules and processes teams must follow and implement. Make sure that your strategy explains how to use tags effectively (including proper formatting), who should create them, and how tagging decisions will be made.

Check out this guide to learn more about tagging: Build A Cloud Tagging Strategy In 5 Steps

2. Rightsize cloud resources

Start by defining your application’s requirements

Identify your application’s minimal requirements and ensure that the instance type you choose can fulfill them across all dimensions such as CPU count (or GPU), memory, SSD storage, and network architecture.

A low-cost instance may appear appealing, but it soon might experience performance challenges while executing CPU-intensive applications.

Azure offers a wide range of options for virtual machines optimized for different workloads, such as compute-optimized, memory-optimized, or accelerated computing for machine learning applications.

Once you determine the type that works best for your application, you need to choose the right size of the machine. Imagine doing all of this manually for the 650 different VMs Azure offers! Hint: You can use an automated engine to do this job for you.

Examine your storage performance constraints

Another item to think about while optimizing your cost reductions is data storage.

Every application has different storage requirements. When selecting a virtual machine, ensure that it has the storage throughput and IOPS that your application requires.

Also, don’t go for expensive disk choices like premium SSDs unless you intend to use them extensively.

Think about network bandwidth

Pay attention to the size of the network connection between your instance and the consumers allocated to it if you’re dealing with a large data migration or a high amount of traffic.

There are some cases when you can boost transfer speeds to 10 or 20 Gbps. The catch is that only those instances will be able to sustain this amount of network traffic.

3. Take advantage of spot virtual machines

Buying idle capacity from cloud providers is a smart decision because it may save you up to 90% on on-demand resources. However, Azure can reclaim spot VMs at any time, giving you just a short window of opportunity to locate another location for your application to execute. In the case of Azure, it’s just 30 seconds.

Teams often use the following sequence when employing spot instances:

  • Checking to see if the workload is spot-on — Can you put up with interruptions? How long will it take to finish the project? Is this a time-sensitive task?
  • Pick the spot instance — Going through the available spot instances, seek for less popular instances that are less likely to be interrupted and can run for longer periods of time (interrupt frequency rate).
  • Bid on a spot instance — Set the maximum sum you are willing to pay for your preferred spot instance. The rule of thumb here is to set this at the level of on-demand pricing.
  • Manage spot instances in groups — This enables you to request many instance types at the same time, enhancing your chances of securing a spot instance.
  • Prepare for disruptions — Create a backup plan for your application in case your spot instances are reclaimed.

As you can see, running spot instances requires a lot of energy and time invested in configuration, setup, and maintenance tasks. Good news: you can automate this. The mobile marketing company saved several millions of dollars per year by leveraging spot instance automation.

You can see a practical example of what spot instance automation for Kubernetes looks like here.

Ace Azure cost management with the right tooling

Azure cost management and optimization are by no means a one-time job. These are both processes you need to carry out regularly.

To slash their workload, teams are turning to automation solutions to handle tasks such as resource selection and spot instance automation.

This form of optimization requires no more effort from engineers and yields round-the-clock savings, even for teams that are already doing an excellent job manually optimizing their Azure setups.

If you use Kubernetes and would like to see how automation could help you solve Azure cost management challenges, book a demo with one of our engineers to get a walkthrough of the platform we built specifically for the Azure Kubernetes Service.

Originally published at on June 13, 2023.




Cut your cloud bill in half. AI-driven cloud optimization for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.