The Evolving Landscape of AWS Spot Instances

In the dynamic world of cloud computing, the lure of AWS Spot Instances has long been irresistible for many organizations. However, the winds of change are blowing. The savings once associated with Spot Instances are starting to wane, and organizations must reconsider their cloud strategies.

As the CTO of DoiT International, I’ve had the privilege of observing and responding to the dynamic landscape of cloud computing. AWS Spot Instances have long been a favored choice for many organizations seeking cost benefits, especially those ready to architect around preemptible instances. However, the landscape is evolving. The savings once associated with Spot Instances are beginning to fade, and it’s crucial for us to rethink our cloud strategies.

Evolving Landscape of AWS Spot Instances (created with OpenAI DALL·E)

Recently, I came across a discussion on HackerNews about an intriguing article called “Farewell to the Era of Cheap EC2 Spot Instances”. The article presents a rather bleak perspective on the current trends in EC2 Spot pricing.


Organizations with predictable usage should now consider guaranteed savings alternatives, such as Savings Plans. But there’s still a glimmer of hope for those who’ve found value in Spot Instances.

We may eventually reach a state of equilibrium where Spot capacity becomes available again at a reasonable price. With AWS currently offering over 600 instance types, many priced almost at par with On-Demand, a diversification strategy could still uncover instance types that deliver significant savings.

This is where our offering, DoiT Spot Scaling, comes is the most effective. Spot Scaling is designed to automate your AWS Spot Instances, saving you up to 90% on compute spend without compromising on reliability by diversifying across the widest possible range of instance types, cheapest than your initial On-Demand instance type.

The idea is to make Spot savings simple. You can save more with AWS Spot Instances without worrying about launch templates, configurations, mixed instance policies, or other implementation challenges. We’ve made the process as effortless as possible, automatically diversifying across the widest possible range of instance types that are cheaper than your initial On-Demand instance type.

Spot Scaling is designed with a fallback mechanism to On-Demand when there isn’t enough available Spot capacity. This helps avoid any performance or availability disruptions to your applications, ensuring operational continuity in a volatile capacity environment.

You can achieve a similar configuration (with the exception of “Fallback to OnDemand) using standard AWS AutoScaling groups, but it would necessitate reconfiguring each group individually. On the other hand, Spot Scaling, it’s a one-stop global configuration that can be applied automatically across your entire AWS organization.

What also sets Spot Scaling apart from other tools on the market is its no-cost model for DoiT customers. This means you get to keep 100% of the savings generated by using Spot Instances.

While Spot Scaling offers a smart solution, it also integrates seamlessly with Savings Plans and Reserved Instances. It sets an automatic cutover point for each instance type, making it easier for you to purchase RIs and Savings Plans for the remaining On-Demand capacity.

For those wanting to automate their AWS discount management strategy, Spot Scaling can work in tandem with DoiT Flexsave, creating a holistic, automated solution for managing your AWS discounts.

In conclusion, while the cost benefits of Spot Instances may be evolving, with the right strategy and tools like DoiT Spot Scaling and Flexsave, we can continue to optimize costs effectively. The key is to stay adaptable and strategic in this ever-changing cloud landscape.

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