The growth in cloud usage has brought more flexibility, scalability, and, along with it, new ways to optimize costs. On AWS, two widely used strategies to reduce computing expenses are Spot Instances and Savings Plans. Each offers specific advantages that can better fit different usage contexts.

In this article, we will compare these two approaches, highlighting how they work, the pros and cons of each model, and which scenarios they are best applied to. We will also show how CodeBit goes beyond traditional management, offering cashback on cloud spending so that your company can save even more.

Why cost control in AWS has become a priority

With the growing adoption of the cloud as a primary infrastructure, companies have gained speed, scalability, and flexibility. However, this advancement brought a new challenge: how to keep costs under control in a highly dynamic environment.

The AWS pay-as-you-go model, although advantageous because it allows organizations to pay only for what they use, can also generate unexpected expenses when there is no clear governance. Environments without granular visibility, inefficient resource allocation, or a lack of capacity planning are factors that contribute to this scenario.

AWS's own studies indicate that up to 30% of provisioned computing resources sit idle, meaning they are paid for but not used. Additionally, the rush to scale solutions or the absence of a purchasing strategy (such as using on-demand instances instead of economic models) can account for a significant portion of wasted budget.

At a time when operational efficiency and predictability of expenses are essential for business sustainability, cloud cost control has become a strategic priority, not just a technical issue.

Spot Instances: maximum savings with flexibility

Spot Instances are an excellent alternative for those looking for high savings in cloud environments. Made available from the spare capacity of AWS datacenters, they can offer discounts of up to 90% compared to the price of on-demand instances.

Because they are based on unused resources, these instances are ideal for workloads that can be interrupted and resumed without significant impact on the business.

When to use Spot Instances:

• Fault-tolerant workloads – such as applications that can recover automatically.

• Batch processes – such as data analysis, parallel workloads, or batch processing.

• Stateless web servers – which do not store local data and can be recreated quickly.

• Temporary tasks – such as testing, CI/CD pipelines, simulations, rendering, or training AI models.

Necessary precautions:

• AWS can interrupt the instance with only a two-minute warning if it needs to reclaim capacity.

• They are not recommended for critical workloads or those requiring continuous availability, such as databases or mission-critical systems.

Strategic usage tip:

Combine Spot Instances with Auto Scaling Groups, distributed workloads, or fault-tolerant mechanisms to take advantage of the savings without compromising environmental stability. This approach ensures resilience even in interruption scenarios.

Savings Plans: savings with predictability

Savings Plans are ideal for those looking to reduce costs on AWS with stability and planning. The premise is simple: you commit to a minimum hourly usage amount (in USD/hour) for a period of 1 or 3 years, and in return, you receive discounts of up to 72% on computing services.

This option is especially advantageous for environments with consistent demands, allowing for savings without sacrificing reliability.

Types of Savings Plans:

• Compute Savings Plans – most flexible, they apply to EC2 instances, AWS Fargate, and AWS Lambda, regardless of region, type, or size.

• EC2 Instance Savings Plans – more specific and with higher discounts, they are tied to a defined instance type, region, and operating system.

When to use:

• Predictable workloads – such as applications with steady traffic and consumption.

• Stable production environments – with well-defined usage patterns.

• Consolidated architectures – where the infrastructure is already sized and does not undergo major changes.

Strategic usage tip:

Start with a conservative commitment. You can acquire multiple Savings Plans over time, gradually adjusting the contracted volume as your cloud usage grows. This way, you maintain flexibility and avoid commitment idleness.

Spot Instances vs. Savings Plans: which to choose?

The choice between Spot Instances and Savings Plans depends directly on your workload profile, the level of predictability in demand, and your AWS cost optimization strategy. While Spot prioritize maximum savings with flexibility, Savings Plans offer consistent discounts with a usage commitment. The table below helps visualize the main differences between the two models:

If your environment requires high availability and predictability, Savings Plans are the best choice to balance cost and stability.

On the other hand, if you run temporary, distributed, or fault-tolerant applications, Spot Instances offer excellent value for money with great flexibility.

In many cases, the strategic combination of both — using Spot for occasional workloads and Savings for continuous workloads — is the key to achieving maximum cost efficiency in the AWS cloud.

Cashback directly on the AWS invoice

In addition to applying savings strategies, CodeBit innovates by offering an exclusive benefit in the Brazilian market: cashback directly on your official AWS invoice.

Here is how it works:

• Your company contracts CloudOps Fly, our comprehensive AWS environment support and optimization solution.

• CodeBit returns 100% of the commission received from AWS in the form of cashback to you.

• The return is automatic, directly on the invoice, ranging from 10% to 17% of the amount spent on the cloud.

Practical example:

A company with monthly AWS spending of US$ 10,000 can receive up to US$ 1,700 back directly on their invoice, without bureaucracy, extensive contracts, or hidden fees.

In many cases, the cashback value fully covers the cost of CloudOps Fly, making contracting the solution practically cost-neutral. This means your company gains cost reduction, expert technical management, and continuous performance improvement, all with personalized support aligned with AWS best practices.

Cost optimization in three fronts

Cloud cost reduction must be an integrated strategy. Acting on three complementary fronts to ensure your AWS operation is efficient, economical, and technically robust:

• Cashback directly on the AWS invoice: up to 17% monthly return, returning 100% of the AWS commission to your company.

• Architecture optimization: smart choice of instances and services, focusing on performance, scalability, and actual savings.

• 24/7 technical support: agile service with an AWS-certified team focusing on the maintenance and continuous evolution of your environment.

This model allows you to reduce your invoice without compromising technical quality — quite the contrary, with real gains in efficiency and governance.

Global trend: cheaper, controlled, and strategic cloud

The way companies use the cloud is changing rapidly. The focus is no longer just on scaling, but on scaling intelligently. The combination of Spot Instances, Savings Plans, and solutions like CodeBit’s cashback reflects a global trend: making the cloud more predictable, efficient, and aligned with the business.

Organizations worldwide are reassessing their contracts, optimizing workloads, and adopting tools like AWS Cost Explorer, Trusted Advisor, and advanced tagging practices to gain more control over consumption. Reducing the invoice has become a strategic priority, and those who master cloud costs gain margin, flexibility, and breathing room to innovate.

In this scenario, CodeBit positions itself as the ideal partner for companies that want to save sustainably. With a practical, results-oriented approach.

If your company looks to transform the cloud into a growth asset, talk to a specialist at CodeBit now. We will show you how it is possible to reduce expenses, optimize resources, and generate real value, month after month.