Assuming that you are familiar with the basic concepts of Azure, in this article, I want to share some guidance on how to optimize costs in Azure so you can get the most out of your subscription.
All of us are looking for our bills to be way lower than expected, so Azure billing cannot be an exception. After all, who doesn’t like money? Azure Cost optimization is a constant concern for organizations. One of the most cost-effective and lowest-risk ways is through Azure optimization. This blog will discuss how you can optimize your Azure usage by leveraging a few simple practices, which will result in significant savings over time without impacting performance or functionality. Let’s take a deep dive into this.
Continuous Process to Optimize Cost in Azure
Azure Cost Management allows you to have visibility into your computing, storage, and networking costs. I am allowing you to allocate budgets based on actual use and get alerts when a budget is exceeded.
Let’s talk about the continual process to manage costs in Azure defined by Microsoft.
Taking the right approach to planning is the first step. When planning your cloud usage, it is essential to ask yourself what business problem you are solving and how you will use it. This can help determine if we should choose specific offerings or infrastructure types for maximum Azure efficiency.
Therefore we should plan carefully before implementing and designing your cloud architecture so that you can make optimum use of resources and services in Azure.
When used effectively, Microsoft Azure’s Cost Management feature can help you achieve two things: inform people about expenses they’re responsible for or the money spent and find ways to optimize spending. To take advantage of these tools, there are three steps that should be followed closely:
1) Identify where your costs lie with services designed by Azure
2) Remove waste if any is found in underused resources/services
3) Look at cost-saving opportunities so efficiencies may be maximized.
To understand your organization’s Azure spending, it is important to know who within the team has responsibility for each cost. Organization of resources into groups helps you maximize insight into costs and hold people accountable for the efficient use of resources.
To make the most of your money and save the cost, follow these steps:
- Plan out what needs doing and then start cutting down on spending.
- Consider purchasing optimizations, licensing changes, or infrastructure deployment with more detail in this document.
Azure’s pricing models
Now that we are ready to start exploring how to save the cost in Azure, let’s look at how cost or billing works in Azure.
Consumption-Based Billing: Azure charges for the resources on a consumption basis. The Azure service and product charges are based solely on what you use. Your charges are determined by how much resources or services you use. It is known as a pay-as-you-go model.
This pricing model is perfect for those who want to convert their capital expenses into operating expenditures, and prefer flexibility and applications with volatile or short-term workloads.
Reserved Instances: With Azure, you can reserve virtual machines to get a discount of up to 72% compared with pay-as-you-go prices. As long as your needs do not change during the commitment term, users can cancel early or replace reserved instances without incurring an additional fee.
There are many different ways to charge for your cloud computing resources. This pricing model is best suited when you have a fixed budget and an application with “stable ongoing usage” – that is, an application with the same number of virtual machines in use (such as Netflix, Mailchimp, or Dropbox).
Spot Pricing: Azure lets you save up to 90% of computing power costs with its spot instances. However, the catch is that they are interrupted on short notice, so only tolerable workloads can use these types of virtual machines. Azure provides Virtual Machine Scale Sets (VMSS), an autoscaling mechanism where policies determine when and how many VMs run to provide cost-efficient.
Spot instances are ideal for distributed, fault-tolerant applications, and stateless applications that aren’t time-sensitive or heavily parallelized.
Fixed Price: Resource instances are provisioned and charged even if they are not used in a fixed price model.
When estimating costs, it is common to take into account workloads at peak capacity. However, under consistently high utilization, consumption-based pricing can be less efficient for estimating baseline costs when compared with the equivalent provisioned pricing using PaaS and serverless technologies.
Tools for Cost Management in Azure
Using Azure’s cost management tools, you can estimate, plan, and optimize your cloud computing costs. Let’s look at these tools in detail:
Azure Price Calculator:
A tool that helps you estimate your cloud costs for one or more virtual machines in the Microsoft public and private clouds.
The Azure price calculator can help users understand the future cost of running specific workloads on any given platform, both in terms of dollars spent as well as resources consumed. The user inputs how many servers they would like to use along with other details such as what kind of processor will be used and the size (i.e., number)of VMs being run across all physical hosts chosen by inputting these values into an online form where after it calculates exactly how much each machine runs per hour which allows them to choose whether this solution fits within their budget or not.
Azure Cost Analysis
Azure is a great cloud platform. It contains many tools and services that make it easy for developers to build, deploy, and monitor their applications in the cloud.
Azure Cost Analysis Azure’s pricing structure has 3 components of cost Compute (CPU credit), Network In/out and Storage per month allocated at the account level by default on any compute instance type which includes D1-D14 virtual machines with additional Reserved Instances available as an option if you wish to commit your spend upfront from 1 year upfront or more depending upon duration required but obviously, this will incur long term costs over time regardless as well as pay only when use approach for VMs. The storage component charges are based on how much data they store within specific regions.
Azure Budgets is a new feature that enables Azure customers to track and manage their resource usage. Using the pre-defined built-in Resource Group budgets, you can set up alerts when your spending exceeds budget thresholds or stays below them to keep costs under control and avoid unexpected overage charges from cloud providers like Microsoft.
Azure Budgets is a new feature for Azure users which helps monitor how much money they spend on resources with built-in limits defined by default of different types such as countries, regions, per user, etc., allowing people to be notified if they exceed certain boundaries so that there are no surprises later about additional billing.
Azure Advisor is a cloud platform service that gives you advice on how to improve performance, security management, and Azure cost Management for different solutions.
The Microsoft Azure advisor can give suggestions for improving performance, and security, and optimizing costs in different parts of an individual’s or company’s solution on Microsoft’s Cloud Platform.
5 ways to optimize Cost in Azure
There are many ways for companies to save the cost in Azure like going with the pay-as-you-go model, using reserved instances, and also understanding what Cloud Services is.
Azure is a great tool to streamline your technology. There are many ways you can optimize cost in Azure including:
1) Using Reserved Instances for Virtual Machines.
2) Running on the right size VM and avoiding over-provisioning.
3) Architecting so that VMs only do what they need to (automation), and finally.
4) Scaling down when not needed or during non-busy hours.
5) Remove orphaned resources.
In conclusion, Azure provides lots of cool tools for Azure Cost management. They just need to be utilized optimally and there are four ways to do that in Azure plans, visualizing, analyzing, and optimizing. There can be many other ways to optimize cost in Azure, I would love to discuss them in detail some other day. To learn more about Cloud computing check our website.
See you soon.
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