Skip to main content

How to Optimize Cloud Costs with Spot Instances: New on Cloud Academy

One of the main promises of cloud computing is access to nearly endless capacity. However, it doesn’t come cheap. With the introduction of Spot Instances for Amazon Web Services’ Elastic Compute Cloud (AWS EC2) in 2009, spot instances have been a way for major cloud providers to sell spare cloud capacity at considerable savings over on-demand instances. While this approach is not without its risks, the opportunity to capitalize on discounted capacity is one that organizations can’t ignore. With the right strategy and tools, cloud teams can take advantage of spot instances to optimize costs without risking downtime or availability.

Developed in partnership with Spotinst, our new course Optimizing Cloud Costs with Spot Instances prepares cloud teams to leverage excess cloud capacity from AWS, Microsoft Azure, and Google Cloud Platform to optimize costs.

How to Optimize Cloud Costs with Spot Instances

According to 451 Research, cloud costs are both the number-one motivator for moving to the cloud and the top pain point after migration. While spot instances can make the public cloud much more accessible and affordable, what really may be holding organizations back are fluctuating prices, the risk of workloads being terminated with little notice, and the complexity of options.

Costs are both the number-one motivator for moving to the cloud and the top pain point after migration.

To make the most of the spot instance opportunity, teams need to understand how the spot market works, the tools and services available, and what they can do to get the highest availability with the best pricing. In Optimizing Cloud Costs with Spot Instances, cloud teams will have everything they need to create a spot market strategy for their cloud workloads.

With this course, you will be able to:

  • Apply basic concepts of spare cloud capacity and compare spot instance offerings from major cloud providers
  • Use AWS Spot Instances and key AWS services including AWS Spot Advisor, RunInstances API, Spot Blocks, and Capacity and Spot Pools
  • Understand how spot prices are calculated and how to manage interruptions
  • Create your spot instance strategy for use with development and test environments, data processing with Amazon Elastic MapReduce (EMR), running task nodes as spot instances, container workloads for Kubernetes and Amazon Elastic Container Service (ECS), and more

Optimizing Cloud Costs with Spot Instances is now available in the Cloud Academy library. Sign in to your Cloud Academy account to get started or register for your account today.

What to Learn Next

Create on-demand Amazon EC2 instances, auto-scale a spot fleet, work with Spot Bid Advisor and more in this hands-on lab, Using EC2 Spot Instances.

Written by

Related Posts

— October 18, 2018

Microservices Architecture: Advantages and Drawbacks

Microservices are a way of breaking large software projects into loosely coupled modules, which communicate with each other through simple Application Programming Interfaces (APIs).Microservices have become increasingly popular over the past few years. The modular architectural style,...

Read more
  • AWS
  • Microservices
— October 2, 2018

What Are Best Practices for Tagging AWS Resources?

There are many use cases for tags, but what are the best practices for tagging AWS resources? In order for your organization to effectively manage resources (and your monthly AWS bill), you need to implement and adopt a thoughtful tagging strategy that makes sense for your business. The...

Read more
  • AWS
  • cost optimization
— September 26, 2018

How to Optimize Amazon S3 Performance

Amazon S3 is the most common storage options for many organizations, being object storage it is used for a wide variety of data types, from the smallest objects to huge datasets. All in all, Amazon S3 is a great service to store a wide scope of data types in a highly available and resil...

Read more
  • Amazon S3
  • AWS
— August 23, 2018

What are the Benefits of Machine Learning in the Cloud?

A Comparison of Machine Learning Services on AWS, Azure, and Google CloudArtificial intelligence and machine learning are steadily making their way into enterprise applications in areas such as customer support, fraud detection, and business intelligence. There is every reason to beli...

Read more
  • AWS
  • Azure
  • Google Cloud
  • Machine Learning
— August 17, 2018

How to Use AWS CLI

The AWS Command Line Interface (CLI) is for managing your AWS services from a terminal session on your own client, allowing you to control and configure multiple AWS services.So you’ve been using AWS for awhile and finally feel comfortable clicking your way through all the services....

Read more
  • AWS
Albert Qian
— August 9, 2018

AWS Summit Chicago: New AWS Features Announced

Thousands of cloud practitioners descended on Chicago’s McCormick Place West last week to hear the latest updates around Amazon Web Services (AWS). While a typical hot and humid summer made its presence known outside, attendees inside basked in the comfort of air conditioning to hone th...

Read more
  • AWS
  • AWS Summits
— August 8, 2018

From Monolith to Serverless – The Evolving Cloudscape of Compute

Containers can help fragment monoliths into logical, easier to use workloads. The AWS Summit New York was held on July 17 and Cloud Academy sponsored my trip to the event. As someone who covers enterprise cloud technologies and services, the recent Amazon Web Services event was an insig...

Read more
  • AWS
  • AWS Summits
  • Containers
  • DevOps
  • serverless
— July 11, 2018

AWS Certification Practice Exam: What to Expect from Test Questions

If you’re building applications on the AWS cloud or looking to get started in cloud computing, certification is a way to build deep knowledge in key services unique to the AWS platform. AWS currently offers nine certifications that cover the major cloud roles including Solutions Archite...

Read more
  • AWS
— June 26, 2018

Disadvantages of Cloud Computing

If you want to deliver digital services of any kind, you’ll need to compute resources including CPU, memory, storage, and network connectivity. Which resources you choose for your delivery, cloud-based or local, is up to you. But you’ll definitely want to do your homework first.Cloud ...

Read more
  • AWS
  • Azure
  • Cloud Computing
  • Google Cloud
— March 13, 2018

Choosing the Right AWS Certification for You and Your Team

As companies increasingly shift workloads to the public cloud, cloud computing has moved from a nice-to-have to a core competency in the enterprise. This shift requires a new set of skills to design, deploy, and manage applications in the cloud.As the market leader and most mature pro...

Read more
  • AWS
  • AWS certifications
— March 7, 2018

How to Encrypt an EBS Volume

Keeping data and applications safe in the cloud is one the most visible challenges facing cloud teams in 2018. Cloud storage services where data resides are frequently a target for hackers, not because the services are inherently weak, but because they are often improperly configured....

Read more
  • AWS
  • encryption
— February 28, 2018

How to Develop Machine Learning Models in TensorFlow

Predictive analytics and automation—through AI and machine learning—are increasingly being integrated into enterprise applications to support decision making and address critical issues such as security and business intelligence. Public cloud platforms like AWS offer dedicated services ...

Read more
  • Amazon Machine Learning
  • AWS
  • AWS Labs