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Cloud Cost Optimization
FinOps
Octo
July 23, 2024

The Ultimate Guide to Cloud Cost Optimization in 2024

Charlene Acson
Technical Writer
Cherry Pelesco
Technical Writer
Translations are provided by machine translation. In the event of any discrepancy, inconsistency or inconsistency between the translation provided and the English version, the English version shall prevail.
Table of contents

Introduction to Cloud Cost Optimization

The cloud offers a wide range of services that have transformed business functions. It has become essential for many business operations, enabling them to store, access, and process data from any location. According to Gartner, by 2025, over 95% of new digital workloads will be deployed on cloud-native platforms, up from 30% in 2021. This flexibility is particularly beneficial for businesses with remote and hybrid working environments, as it allows for seamless collaboration and access to essential resources from anywhere.

Cloud computing, a concept involving the cloud, provides computing services such as servers, storage, databases, networking, software, and analytics over the Internet. This technology enables faster innovation, flexibility, and economies of scale. Businesses are increasingly adopting cloud computing because it allows them to pay only for their services, reducing operating costs, optimizing infrastructure, and scaling resources as needed.

Cloud computing may appear to be perfect, but it actually comes with a lot of challenges. Businesses are using the cloud to quickly set up and use servers and computing instances, however, they often end up with an excess of unused or underutilized resources. It leads to higher costs as cloud service providers charge for resources whether they are in use or not.

In order to address the challenges associated with cloud computing, cloud cost optimization comes into play. Its aim is to make cloud environments more efficient, less complex, and more cost-effective. In this article, let’s explore some effective strategies, techniques, and tools for optimizing cloud costs and improving business efficiency.

Understanding the Importance of Cloud Cost Optimization

Cloud cost optimization is the process used to optimize the costs of your cloud computing services without compromising the performance of your product or infrastructure. Cloud cost optimization aims to match your business cloud cost with its actual need without compromising on service quality or product performance. This is possible by limiting expenses such as overprovisioned resources and unused instances.

Cloud service providers, also known as vendors, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), offer pricing models that can benefit businesses. However, the complexity of these pricing models often leads to organizations overspending due to mismanagement.

Differentiating Between Cloud Cost Optimization and Cloud Cost Management

Since we already understand the concept of cloud cost optimization, let’s discuss another idea related to cost optimization - cloud cost management. But what are the differences between these two?

Cloud Cost Optimization Cloud Cost Management
Includes creating insights out from the data collected from managing cloud spend. Includes allocating, tracking, reporting, and analyzing cloud cost.
A more strategic approach that involved analyzing the long-term costs and benefits of different cloud services and making informed decisions An ongoing process, constantly changing and new cloud services are being introduced

Why Prioritize Cloud Cost Optimization?

Many people often confuse cloud cost optimization and cloud cost management as interchangeable terms. While they are closely related and often discussed together, they are not necessarily the same. Instead, we’ve come to realize that rather than being the same, they are more connected to each other.

Now, let’s answer the question, ”Why and how do you optimize your cost?”

A good cloud cost optimization strategy is essential for effective cost optimization and business improvement. And how do you do that? It is possible if you have effective cloud cost management.

Benefits of Effective Cloud Cost Management Strategies 

Cloud cost management involves tracking and analyzing the costs of various cloud services, identifying areas where costs can be reduced, and implementing strategies to achieve those cost savings. Below are four benefits of cloud cost management to optimize costs for your business.

  1. Visibility into your cost. An effective cloud cost management gives you a detailed view of your cloud usage and spending, which you can break down by departments or teams. In this way, you can better understand how and where your costs are generated from and help you make better decisions when it comes to optimizing cloud costs.
  1. You can allocate your budget accurately. It also enables your business to have a cohesive view and accurate information about the unit cost, product, cost centers (examples are accounting, HR, and IT department), and roles. With this information made available on your hand, it becomes easier for your business to map your resources and allocate your budget.
  1. Create and promote a culture of accountability. An effective cloud cost management helps your teams to stay focused and aware of their activities in the cloud. This means that from all perspectives, everyone is aware of the services that are being spent on and by whom.
  1. Drives organizational transformation. As your business creates a culture of accountability, you also create a framework that can drive organizational transformation. Through this, you are not just bringing teams together, but you also fuel innovation and growth.

Click here to unlock these benefits using Octo.

Overcoming Challenges in Controlling Cloud Costs

Managing cloud costs can be a challenging task. The cloud offers numerous benefits like unlimited resources, but if not managed properly, these advantages can become a burden. The complexity of cloud pricing models often lies at the heart of this problem. And these problems are identified as follows:

  • Some businesses cannot create insights from their cost reports due to the fact that they are not using the right cloud cost management tools.
  • Unbalanced cost and poor performance due to inefficient allocation of budget and resources.
  • Sometimes budget forecasts are inaccurate and a lot more than the actual spending which makes businesses end up paying for unused resources.
  • Incomprehensible and time-consuming spreadsheet checking of the bill.
  • Controlling your cloud costs can be challenging, especially in a multi-cloud environment with different vendor pricing models.
  • The vendors' ever-changing pricing models are challenging to keep track of, leading to missed cost-saving opportunities.

To overcome these challenges, you need to prioritize cloud cost optimization. However, it is not a straightforward matter as it involves techniques and strategies in order to achieve your business goals and ultimately optimize your cloud cost.

Comprehensive Guide to Best Practices in Cloud Cost Optimization

Now that you understand the importance of prioritizing cloud cost optimization, you probably want to know how to achieve it. Well, you’re in luck because we’re here to guide you every step of the way. 

Establishing Efficient Monitoring and Management of Cloud Resources

Cloud resource optimization ultimately leads to optimizing your cloud costs. This means optimizing your cloud costs is just actively monitoring the cloud resources you use. This lets you see where you can save from and reduce your costs. But if you fail to manage your resources properly, don’t be shocked if you receive higher costs on your upcoming bill.

You can say goodbye to your high expenditures by establishing an efficient way to monitor and manage your resources. To do that, you should utilize a cloud cost management tool. This tool can help you track your cloud usage with visualization and offer insights to help you manage your resources. Make sure to choose the right monitoring tool to achieve effective cloud management.

Utilizing Automated Tools for Real-Time Analytics and Insights

Managing cloud costs is not easy, but having access to real-time data for analysis makes it easier for businesses to make quick, cost-effective, and wise decisions. In today’s rapidly evolving world of technology, the traditional way of processing data is falling behind. Fortunately, automated tools for real-time analytics offer several significant advantages, and utilizing these tools can help businesses:

  • do real-time analysis of data and respond to changes quickly;
  • operate efficiently, and solve anomalies and errors detected to avoid causing significant downtime that may lead to higher costs;
  • access to real-time insights of what customers really need and adapt to changing market conditions; and
  • gain a competitive advantage as with these tools, they are ahead when it comes to making faster and informed decisions.

Adopting a Multi-Cloud Strategy to Leverage Competitive Pricing

Optimizing your costs does not just involve monitoring and controlling your usage through cloud cost management tools, but implementing a strategy can be highly beneficial as well. Adopting a multi-cloud strategy means utilizing different cloud services from different providers to get the best benefits from each of them instead of just relying on a single provider. For example, a business can use AWS data storage services and at the same time, use big data tools from Google Cloud Platform (GCP). Each provider has their own pricing models which you can compare to help you choose the service that is most cost-effective for each provider. By leveraging multiple cloud providers, you can use the unique advantages and strengths offered by each provider.

Embracing Right-Sizing Techniques to Match Demand

Rightsizing is the process of optimizing cloud resources by allocating just enough to match your application’s needs. This can help your business optimize resource allocation and lessen the risks of allocating too much resources (over-provisioning), that if unused, leads to unnecessary costs, or allocating insufficient resources which can lead to performance issues or even downtime (under-provisioning). By rightsizing, you can effectively optimize your cloud costs.

Here are some ways to effectively right-size your resources:

  • Identify patterns and peak usage times by closely monitoring your resource usage.
  • Try to take note of situations where you're using only 50% or less of what you’re actually paying for because that can be an opportunity to save money.
  • Utilize a cloud cost management tool for automated alerts that can notify you when your resource usage is more than your predefined thresholds.
  • Learn about vertical and horizontal scaling.

Investigating Spot Instances for Cost Savings without Performance Compromise

You can achieve up to 90% cost savings by opting for Spot Instances instead of AWS On-Demand Instances. However, it's important to note that Spot Instances may only be cost-effective for some workloads. Some ideal use cases for Spot Instances are:

  • Distributed databases
  • Processing big data or machine learning workloads
  • Running CI/CD operations
  • Powering stateful applications

It's important to note that Spot Instance prices and availability are subject to change. Therefore, it's essential to have someone or a team that continuously monitors and selects the best combination of price and volume to maximize savings and system efficiency.

Exploring Savings Plans, Reserved Instances, and Other Commitment Discounts

Cloud service providers offer various discount programs to help businesses reduce their spending. Reserved Instances (RIs) can provide up to 75% savings for predictable workloads by committing to specific instance types over one to three years, though they are billed upfront. Another option is Savings Plans, which offer flexibility with prepaid commitments based on hourly usage, accommodating changing needs better than RIs. Spot Instances, available through cloud auctions, can save up to 90% off on-demand pricing but come with availability and reliability risks, making them suitable only for non-critical workloads. Additionally, volume discounts reward higher spending with reduced per-unit costs, potentially making consolidation with a single provider more cost-effective.

The Importance of Identifying Idle Resources and Eliminating Waste

To optimize cloud costs, it's essential to identify and consolidate idle resources. Cloud providers charge for unused capacity, so if your CPU utilization is only at 10% but you're billed for 100%, you're wasting significant resources. To reduce costs, it's important to find and merge idle resources and avoid reserving them for busy seasons or traffic spikes. Instead, utilize cloud features such as auto-scaling, load balancing, and on-demand options to scale capacity as needed. This approach ensures that you're only paying for what you use, maximizing efficiency and minimizing waste.

Optimizing Data Transfer Strategies to Reduce Excess Fees

Transferring data to and from a public cloud can be expensive because cloud service providers often charge data fees to shift from one platform to another or between regions. However, you can reduce your costs by eliminating or transferring unnecessary data to cheaper storage options. But first, let us know what counts as data transfer.

Here’s what:

  • Data Ingress (Data Transfer In). Importing or uploading data into your cloud service provider for the first time.
  • Data Egress (Data Transfer Out). Downloading or moving data into a third-party processing service.
  • Data Transfer Within. This involves transferring data from one service to another service from within a cloud service provider, such as from one AWS service to another AWS service.
  • Data Transfer Between On-Premises. It involves moving data from on-premise data centers into or out of a cloud service provider. For example, moving data from an on-premises data center into or out of AWS, where, in this case, AWS site-to-site VPN or AWS Direct Connect.

Now that we know what counts as data transfer, here are some tips as to how you can optimize your data transfer costs:

  1. Utilize Cost Allocation Tags.
  2. Review data transfer usage.
  3. Reduce outbound data.
  4. Optimize S3 storage.
  5. Keep everything within a single region.
  6. Utilize less expensive regions when possible.
  7. Automate for off-peak hours.
  8. Keep EC2 data transfer within a single region.
  9. Monitor and set up billing alerts.
  10. Use Amazon CloudFront.

The Role of Budgets in Managing and Reducing Costs

Budgeting plays an important role in managing and reducing costs within a business as it involves planning and controlling financial resources to ensure that spending aligns with the company’s objectives and priorities. Here’s how effective budgeting can contribute to the cost and management reduction.

Setting Up Effective Budgets Aligned with Business Goals

Conducting a comprehensive assessment of your business needs and identifying your top priorities is essential. This involves evaluating your current infrastructure, understanding critical requirements, and identifying any gaps. By gaining clarity on your needs, you will be able to allocate your budget more efficiently and effectively.

Consider the hardware and software currently used and evaluate their performance and compatibility with your business objectives. Identify any outdated systems that may cost your business unnecessary expenses or hinder productivity. Also, engage with your employees to understand their technology needs and the challenges they face in their daily tasks. Their insights can help uncover areas where technology improvements are needed.

Incorporating FinOps Into Your Financial Management Practice

FinOps practice allocates over 90% of cloud spend, leaving little difference between the forecasted and actual spend. Many businesses approach cloud cost optimization strategy and implementation by employing a cross-functional FinOps team - one with members from the engineering, finance, and executive - to bring financial accountability to the cloud. 

FinOps practices rely on reporting and automation to increase ROI by continuously identifying opportunities for efficiency and taking action regarding cloud optimization in real time. Businesses can also ensure their cloud environment's underlying infrastructure always meets service-level objectives by automating their dynamic resourcing.

The Three Phases of The FinOps Journey: Inform, Optimize, Operate

FinOps emphasizes three important FinOps phases: inform, optimize, and operate. Following these phases will enable your business to manage its cloud costs effectively and drive efficiency.

Source: FinOps Framework Overview

Teams within an organization may be at different stages of FinOps at any given time. FinOps practitioners should always review the organization's cloud usage, identify opportunities for improvement, and create documentation to help the personas responsible for making changes that will provide the most value.

Building an Organizational Culture Focused on Continuous Cost Optimization

Remember these pointers for creating an effective cloud cost optimization strategy that connects costs to specific business activities. It will help you understand who, what, why, and how you spend your cloud budget.

  1. Ensure that your internal budgeting and escalation processes align with our business goals.
  2. Consider cost as a primary metric.
  3. Identify other metrics that are crucial to your business goals.
  4. Ensure that the right people can access accurate data at the right time.
  5. Make timely cost decisions with precise time analytics.
  6. Utilize cloud costs strategically for business purposes.
  7. Adjust your cloud computing resources proactively.
  8. Take advantage of volume discounts by reserving capacity.
  9. Automate optimization of cloud spending using the appropriate cost management tool.
  10. Continuous optimization of cloud costs is the new standard.

These tips are only a few of many that enable your business to have clear visibility into costs. This will empower you to make informed decisions and reallocate cloud resources for higher returns on investment. Visibility in your costs will help you reduce unnecessary costs and minimize cloud waste.

The Future of Cloud Costs: Trends and Predictions

As cloud computing continues to evolve, businesses must stay competitive and manage expenses effectively by understanding future trends and predictions in cloud costs. Key areas likely to change the shape of cloud costs include innovations in cloud billing practices, changes in consumption patterns, and the impact of AI and machine learning on resource allocation.

Innovations Likely to Influence Cloud Billing Practices

  • Advanced analytics and AI. Transforms cloud cost management by offering real-time cost monitoring, automated resource allocation, and predictive analytics for precise budgeting.
  • Usage-based billing models. Calculate charges based on detailed usage metrics, reducing overcharges and aligning costs with actual usage.
  • Event-based billing. Provides a transparent cost structure, such as API calls or data queries. 
  • Dynamic pricing. Which includes spot instances and time-based models, adjusts costs based on real-time demand, promoting off-peak usage for cost savings.
  • Integrated financial management tools. Bring together cloud billing with broader financial planning. 
  • Blockchain technology. Ensures transparent and immutable records, enhancing trust and accountability.

Anticipating Changes in Consumption Patterns

Here are some changes you can expect in your consumption patterns in the near future:

  1. Serverless computing is shifting billing models to charge based on the time and resources used by specific functions, making costs more predictable and understandable. 
  2. Growth of multi-cloud and hybrid cloud environments, where new tools help businesses track expenses across providers, ensuring accurate and transparent billing. 
  3. There's a growing emphasis on sustainable cloud practices, with billing reports including carbon footprint metrics and incentives for using energy-efficient resources and off-peak data centers, encouraging environmentally friendly decisions.

The Influence of AI and Machine Learning on Resource Allocation

Since AI and machine learning are starting to power our world today, here's how they can also influence your cloud resource allocation:

  1. AI-driven cloud management enhances resource allocation by using intelligent workload placement and dynamic scaling to maximize efficiency and reduce costs. 
  2. Machine learning predicts demand and automatically adjusts resources, minimizing waste. 

Cloud Cost Optimization with Octo by Alphaus

Maximize your savings and optimize cloud expenses with Octo. Streamline your cloud cost management and effortlessly reduce expenses with our cutting-edge tools. Take advantage of the opportunity to minimize cloud spending and enhance financial efficiency. Visit Octo by Alphaus Inc. today to learn more and take control of your cloud finances!

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