AWS Knowledge

How AWS Spot Instances Reduce Cloud Costs Effectively

Piyush Kalra

Nov 15, 2024

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Cloud computing has transformed the functioning of most businesses as it has provided convenience to a large extent. However, as the usage of the cloud grows, the costs tend to increase; hence, companies have started to find more inventive ways to cut costs. That is the point where Amazon Web Services Spot Instances come in, which is a revolutionary approach that allows you to achieve a cloud cost cut of up to 90% while still achieving great performance. 

In this guide, we will further explain how to make use of Spot Instances, what are their main use cases, and how you can save significantly by using Spot Instances.

What Are AWS Spot Instances?

AWS Spot Instances are highly discounted EC2 that are 90% cheaper than the On-Demand pricing. AWS offers these instances because they are built up using the cloud provider's unused capacity.

These On-Demand Instances ensure a very high availability ratio, while the Reserved Instances require a long-term commitment. On the other hand, On-Demand Instances enable bidding on surplus capacity and use such bidding for low costs until AWS has no inclination to reclaim such resources.

AWS Spot Instances are very economical and, therefore, are recommended for flexible or stateless workloads that are also fault-tolerant and tolerable of being interrupted.

Key Benefits of AWS Spot Instances 


  • Significant Cost Savings: Across the cloud-offered services, Spot Instances remain one of the economical options, with prices as low as 90%.

  • Flexibility: Since Spot Instance is unsuitable for cost-sensitive operations, it is ideal for situations that do not involve sensitive tasks. Moreover, it is cost-effective for demanding tasks.

  • Full Access to EC2 Features: Spot instances can perform all the functions the on-demand instances serve, such as various store settings or networking ones. 

How AWS Spot Instances Work 

AWS Spot Instances Pricing Model 

They are all made available through the dynamic pricing model, which enables the price to change based on demand and availability. This implies that the cost will depend on the location of the instance, its type, and the time of day.

Whenever you want to work with Spot Instances, you will have to make a Spot request, indicating how much you are willing to pay and what type of instance you would prefer. AWS will only start your instance when it is equal to or less than the current bid.

Be aware that if capacity is displaced, AWS could shut down your instance with two minutes' notice.

Strategies to Maximize Savings 


  1. Diversify Instance Types and Regions: Doing so increases your odds of getting Spot Instances while lowering your odds of being interrupted often.

  2. Set Competitive Bids: Avoid being outbid by placing the bid closely to demand prices of the instances during peak times.

  3. Leverage Automation Tools: Such as those which replace dropped instances automatically. Tasks and workloads are easier to manage through AWS Auto Scaling, Spot Fleet and EC2 Fleet due to automatic tuning.

  4. Analyze Spot Price Trends: Using Spot Price History and Spot Instance Advisor, which can assist in analyzing the spot market, helps in accurately determining risk and return.

  5. Start with Small-Scale Workloads: When using Spot Instances, it is best to start with non-intensified workloads. Use non-vital workloads first before getting into more intensive tasks.

Use Cases for Spot Instances 

The selling point across the cloud is reducing expenses, which businesses from small-scale to big corporations can achieve by utilizing Spot Instances. Below are the use cases which make them excel most:

1. Batch Processing 

For Echo tasks that do not emphasize running continuously, Spot Instances are great. For instance, rendering multiple 3D graphics or transcoding video for video-on-demand services requires simply configuring a queue in your tool and setting it to a spot instance. If the provider reclaims or restarts the jobs if instances are interrupted, the automatic tooling ensures that the processes run smoothly as intended.

2. High-Performance Computing (HPC) 

Engaging in high-performance computing workloads such as elaborate simulations or genomics studies that are compute-intensive yet do not need to be continuous, for instance, a biotech company running a DNA sequencing simulation can better achieve efficiency by using a combination of Spot and On-Demand Instances automated tooling. Using tools like AWS Parallel Cluster or Slurm for building clusters that ensure reliability is needed. These tools also tend to handle interruptions by automatically redirecting the workload to the available spot capacity.

3. CI/CD Pipelines 

CI/CD pipelines are costly due to the requirement of multiple test runs or instancing. To economize without compromising speed, development teams such as Coders, who use nightly code builds in conjunction with automated testing, can utilize Spot Instances. Furthermore, build your CI/CD pipeline with Jenkins, GitLab, or AWS CodePipeline tools with Spot Instances enabled in your computing environment. Platforms that utilize these methods tend to circumvent interruption by resubmitting or relocating tasks to different resources.

Challenges and How to Overcome Them 

While the benefits are clear, using Spot Instances does come with challenges. Here are some of the most effective strategies that will prove effective in tackling Spot Issues:

1. Risk of Interruptions 

AWS On-Demand Instances have the ability to charge for On-Demand Instances, leading to increased use of these instances, which subsequently results in interruptions. The solution to this issue is EC2 Instance Rebalancing Recommendations. These features warn users of the risks involved with the termination of the instance. These warnings, in conjunction with automation, greatly reduce application disruption by relocating workloads to other instances before termination.

2. Availability Challenges 

The availability of Spot Instances is determined largely by the excess capacity available in different instance types and regions at a particular time, which limits it at specific periods. To elaborate on this, it is best to implement multi-region deployments where your applications span multiple AWS regions. Furthermore, expanding your flexibility on the instance type helps you get Spot Instances more easily whenever necessary.

3. Increased Monitoring Complexity 

As a result of having many Spot Instances, things change since you now have to juggle interruptions across multiple Spot Instances in tandem with costs and performance. To help combat these troubles, it is recommended that you use AWS Cost Explorer to manage and keep track of your expenses or Amazon CloudWatch to monitor performance and set alerts. Such services allow for greater confidence by limiting expenditures without sacrificing the effective cost management of the different Spot Instances and their volatility.

How to Get Started with AWS Spot Instances 

Step-by-Step Guide 


  1. Log in to the AWS Console: Go to the EC2 dashboard, select Spot Instances and click on "Request Spot Instances.

  2. Set Up Your Instance: Select your desired configuration, including instance type, operating system, and availability zone. 

  3. Place Your Bid: Enter your bid amount and review historical pricing data to make an informed choice. 

  4. Launch Your Instance: Your instance will automatically launch once your bid matches the current Spot price. 

  5. Monitor and Optimize: Use AWS tools like Spot Fleet Management and Auto Scaling Groups to manage interruptions and ensure smooth, uninterrupted operations.

To view spot price history, follow these steps:


  1. Open the Amazon EC2 console and go to the "Spot Requests" section. 

  2. Click on "Pricing History" to see the spot price history. 

  3. Filter your search by selecting the desired product (operating system), instance type, and date range. 

  4. A detailed price history chart will appear based on your selection. 

  5. Hover over the chart to analyze price trends over time.

Why AWS Spot Instances Are a Must for Cost Optimization 

AWS Spot Instances have the capability to reduce your cloud service expenses remarkably without sacrificing the scalability and flexibility required by your business. Spot Resources should enable you to do more for less if you are dealing with batch jobs, CI/CD pipelines, or HPC-capable applications.

Spot Instances also boast powerful applications and automation, making them an essential tool for any business that is tipping towards the cost-effective side of cloud services. Start your practice with Spot Instances today and reap the benefits of appropriate cloud expenses in the future.

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