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Why You Need Cloud Cost Optimization and 8 Optimization Tips

Written by Keren Shmuely

What Is Cloud Cost Optimization? 

Cloud cost optimization is the practice of selecting and allocating the appropriate cloud resources for your application or workload. You achieve efficiency when you balance workload performance, cost, and compliance by optimizing infrastructure in real time.

Every application and workload has unique infrastructure requirements, which can change over time. Traditionally, cloud operations teams would establish baseline performance using their experience or domain knowledge, and in this way, choose the resources for their workloads. Today, teams can use machine intelligence to optimize any workload and match it automatically to cloud resources. 

Dynamically matching applications to cloud resources provides many advantages, including:

  • Improved performance
  • Easier management
  • Workloads consume fewer resources
  • Workloads require less supporting infrastructure
  • Lower cloud costs

This is part of a series of articles about cloud cost management.

In this article:

What Are the Benefits of Cloud Cost Optimization? 

According to research from Hashicorp, over a third of organizations surveyed have an annual cloud computing budget of over $2 million. At the same time, 51% said cloud cost is a concern for them, 39% said their organization spent too much in the cloud in the past year, and respondents estimated that as much as 20% of their cloud spend is wasted.

An effective cost optimization strategy can have two main impacts on your organization – reducing cost and improving performance with existing resources. An important way to achieve these goals is monitoring and controlling your cloud spending. 

Cloud cost optimization provides more accurate measurements of how your organization uses the cloud. It can help discover unutilized features, identify and consolidate resources, and evaluate poorly managed tools. It lets you measure and remediate these deficiencies to avoid wastage. 

Optimize cloud with Granulate

Cloud optimization increases cloud utilization while reducing unnecessary cloud spending. It not only saves money but also balances costs with performance. Optimization tools increase the IT and development teams’ productivity by analyzing the areas covered by cloud providers. 

Teams can use this analysis to optimize application performance in the cloud. They apply their skills and time to the right task at the right time to ensure efficiency and productivity. Cloud cost optimization gives you more resources and time for your company’s innovation and decision-making.

Related content: Read our guide to cloud computing costs (coming soon)

8 Best Practices and Strategies for Cloud Cost Optimization 

Use the following practices to optimize your cloud costs.

1. Establish an Understanding of Cloud Usage Patterns 

The first step in a cloud cost optimization strategy is to accurately understand your organization’s IT resource usage requirements and workload patterns. When you understand key factors such as demand patterns and seasonality, it becomes easier to leverage techniques and tools to predict cloud spend.

If your organization is already using the cloud, it may be best to use a cloud cost optimization tool to get a comprehensive picture of your established usage and spending patterns. Some tools are cloud native or vendor-specific, while other third-party solutions can extend your analysis and visualization capabilities.

2. Use Auto Scaling

Cloud services are scalable, allowing you to use more resources when demand spikes and reduce the provisioned resources during low-demand periods. You might use auto scaling to optimize your organization’s cloud spending. 

Ensure you always understand your business requirements and verify that your cloud usage matches your needs. You might also use historical reports to view cloud usage and business growth trends —these insights will help you make the appropriate changes.

3. Use Cloud Optimization Tools to Analyze Resource Usage 

Data visualization is important for understanding how your organization uses a system. For example, a heatmap makes identifying potential hotspots easier, allowing you to catch them before they disrupt your system. 

If you see the system load starting to go in one direction, you can balance and adjust it before it becomes an issue. While viewing raw numbers doesn’t always help, looking at a graph or map can provide quick insights. Administrators often cannot make the necessary adjustments because they can’t view the data in an easy-to-understand format.

4. Choose Between Single-cloud vs. Multi-cloud Architecture

Your organization might opt for a multi-cloud solution because you can easily add new tools when you need them. However, you can also create a flexible single-cloud solution using a powerful infrastructure like AWS or Azure, providing all your organization’s needs.

A managed service provider (MSP) can run various single—and multi-cloud solution scenarios. Sometimes, migrating to a single-cloud solution while optimizing available resources can provide significant savings. Single-cloud solutions typically cost the same and operate more efficiently than multi-cloud solutions.

Many organizations assume that they can’t get everything from a single cloud, but this is untrue. Today, many cloud providers offer numerous add-ons, integrations, and customizations.

5. Reduce Data Transfer Costs

Moving data in and out of public clouds can be expensive. Cloud service providers charge data transfer fees to move data off-platform or between geographic regions. Avoiding unnecessary data transfers helps reduce cloud costs.

Start by evaluating the CSP’s data transfer fees and adjusting your cloud architecture to minimize the number of data transfers required. For instance, an on-premises application that frequently accesses data hosted in the cloud can move to the cloud to eliminate these transfers.

Check the pricing for various data transfer methods designed to secure and accelerate data movement between public clouds and private data centers.

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6. Avoid Cloud Sprawl

Cloud sprawl, an uncontrolled proliferation of resources in the cloud, is often the reason for excessive cloud bills. If you don’t eliminate the cloud services you no longer need for your overall strategy, you will continue to pay in vain.

Cloud storage instances often accumulate, especially when disconnected from compute instances or used for data protection. You might ignore the attached storage instance when deleting a cloud server instance. Identify unnecessary storage instances and delete them based on your organization’s data retention policy.

You can minimize the risk of cloud sprawl by using application and infrastructure management and monitoring tools to gain better visibility into cloud environments. Establish corporate policies to determine when and how to decommission unwanted cloud resources —terminate old workloads with auto-provisioning. Carefully track your cloud bills and service agreements to determine if you are paying for services you no longer use.

7. Tag Cloud Assets and Infrastructure 

Tagging is important, even if you don’t see the need for it now, because it will help you manage your assets when your cloud spending and usage grow. Establishing an asset tagging mechanism later is more difficult. 

Tags help you identify the team responsible for all infrastructure assets and help you attribute costs when your bill arrives at the end of the month.

Tagging also helps to decommission resources you no longer need automatically. For example, you can search for the relevant application tag when you stop using a specific application —this lets you view all the resources related to the application, allowing you to delete everything safely. 

Most CSPs let you use tags to specify budgets to help control spending and alert you when you approach a specified threshold. 

8. Leverage a Continuous Optimization Solution

Managing cloud costs is too complex for humans to do alone. This complexity boils down to three specialties that every IT professional knows but, as a whole, are impossible to master at a deep level.

When cloud services and workload requirements change, a continuous optimization tool can automatically respond to optimization recommendations from infrastructure management tools. It implements the appropriate internal and external policies and controls, applying the changes necessary to keep the infrastructure in an optimized state.

Continuous optimization ensures that your infrastructure matches your workload requirements and application goals.

Like manual workload optimization, continuous optimization helps match the right infrastructure with your workloads, ensures peak application performance, maximizes cloud instances, and prevents unnecessary spending. The difference is that continuous optimization can respond automatically and dynamically make the appropriate changes without manual intervention.

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