More and more businesses are using Amazon EC2 Spot instances to run and scale their infrastructure cost-effectively. Here are some examples of how customers have achieved business agility, cost savings, and scale with EC2 Spot instances.  

Launch an Amazon EC2 Instance for Free

Try Amazon EC2 for Free

AWS Free Tier includes 750 hours of Linux and Windows t2.micro instances each month for one year. To stay within the Free Tier, use only EC2 Micro instances.

View AWS Free Tier Details »

Guttman Labs (at Cal Tech)

The Guttman Lab at the California Institute of Technology (Caltech) chose EC2 Spot instances beacuse they needed a cost-effective, flexible, and elastic infrastructure solution for lab researchers to access large HPC clusters on the fly. Since they could launch and de-commission 1,000's of nodes on-demand, lab researchers could easily run multiple projects simultaneously, while reducing the time required to complete genomic sequencing from weeks to days. Learn more >>

TLG Aerospace

Seattle-based aerospace engineering company, TLG Aerospace, saves 75% on STAR-CCM+ computational fluid dynamics (CFD) simulations. EC2 Spot instances have enabled TLG to access more memory and cores at a lower cost, allowing them to scale the number and size of increasingly demanding simulations. Learn more >>

ironSource

With over 800 million users, ironSource leverages Spot to scale their production environment quickly while saving up to 80%. ironSource powers their big data solution, ironsource Atom, with EC2 Spot so they can reliably handle any amount of data while reducing costs by tens of thousands of dollars. Learn more about how they did this >>

Fugro Roames

By using AWS and Amazon EC2 Spot Instances, Fugro Roames has enabled Ergon Energy to reduce the annual cost of vegetation management from AU$100 million to AU$60 million. Learn more >>

National Instruments

With Amazon EC2 Spot Instances, National Instruments easily saves 85–90% in costs, and allowed them to quickly scale to meet current demands while avoiding additional headcount and procurement lag associated with expanding on-premises infrastructure.

Innneractive

Based in Tel Aviv, Inneractive is a mobile ad exchange that provides technologies for the buying and selling of mobile advertising space. By partnering with Spotinst and using Spot instances, Inneractive has saved 20-30% on their total AWS bill while maintaining performance of its platform. 

Lyft

Lyft is a San Francisco-based ridesharing company that is on Fortune magazine’s “Unicorn” list of hot startups, with a valuation of $5.5 billion. By using AWS Spot instances, Lyft saves up to 90% percent a month simply by changing four lines of code. 

Gett

Gett is an Israeli-based startup that connects people with taxi drivers and runs its website and mobile app on several hundred Amazon Elastic Compute Cloud (Amazon EC2) instances.  Gett chose to reduce some of its costs by taking advantage of Amazon EC2 Spot Instances. The company runs the Amazon Elastic MapReduce (EMR) service on Amazon EC2 Spot Instances to help them process huge amounts of data. Learn more >>

Krux

Krux helps companies worldwide deliver more valuable and personalized marketing, media, and commerce experiences. Krux implemented the Amazon EMR infrastructure using Amazon EC2 Spot instances to gain access to compute functionality at reduced costs, using an internal framework to determine Spot bid prices.

TellApart

TellApart’s big data platform enables retailers to unlock the power of their customer data. They use Amazon Elastic MapReduce to bring up Hadoop clusters to batch process log data, and have reduced costs by 75% by using Spot Instances. Click here to learn more.

AdRoll
AdRoll is a global leader in ad retargeting, providing cross-platform reach across large display inventory sources and tools to enable personalized ad campaigns. AdRoll chose to run their business with Amazon EC2, S3, and DynamoDB, because of low latency, guaranteed throughput, and the ability to scale quickly. Additionally, they use Spot for variable capacity, allowing them to run workloads more quickly and efficiently at a lower cost. Read the case study to learn more.

NetSeer
NetSeer provides concept-based advertising solutions that match search queries and webpage content to relevant ads for advertisers and publishers.  Netseer uses Amazon EC2 Spot Fleet to launch and manage a collection of Spot Instances with one request. Read the case study to learn more.

BloomReach
BloomReach built a personalized discovery platform with applications for search, content marketing, and merchandizing. They launch up to 2,000 Amazon EMR clusters and run 6,000 Hadoop jobs every day. With Spot and Amazon EMR, they have increased efficiency while reducing costs. Learn more about how they did this on the AWS blog.

Fin Design + Effects

Fin Design + Effects is a boutique design and visual effects (VFX) company, who needed a cost-effective, agile solution to access additional capacity on the fly. Fin artists often required additional compute resources last minute to perform complex tasks using rendering software. They "wanted to save money and gain more agility in how we added compute resources, and AWS looked like it could enable us to do both of those things quite easily." Fin Design implemented a hybrid cloud environment with Amazon EC2 and EC2 Spot instances to access capacity on-demand and at a low cost.

Ooyala
Ooyala is a leader in online video technology for publishing, analytics, and monetization across all connected devices. Its comprehensive video technology gives content owners deep insights that help drive increased viewer engagement and revenue from video. Its use of Amazon Elastic Compute Cloud (Amazon EC2), including Spot, Reserved, and On-Demand Instances and Amazon Simple Storage Service (Amazon S3) has enabled the company to decrease time to market and virtually eliminate wait time for users.

Fermilab
Fermilab is participating in the CERN project, the largest data-intensive project in the world. After proving the existence of the Higgs Boson (“God particle” which gives humans their mass), CERN can analyze even more data at a higher velocity and get closer to proving the existence of dark matter. They successfully increased computing capacity cost-effectively by a factor of 4, to a total of 58K cores. More than 500 Million events were fully simulated in nearly 10 days using 2.9 million jobs that normally would have taken Fermilab six weeks to complete without the help from AWS.

DNAnexus
DNAnexus provides a unified system of data management and sequence analysis for DNA sequencing centers and researchers. DNAnexus uses Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances to conduct all of its DNA analysis, while Amazon EC2 On-Demand Instances handle the company’s interactive services, such as its client front end portal and visualization tools. DNAnexus also relies on Amazon Simple Storage Service (Amazon S3) to meet the company’s extensive storage demand, which will grow from terabytes into petabytes of data.

Novartis
Novartis built a platform for cancer research, estimating that it would take $40 million dollars. With Spot Instances, they conducted 39 years of computational chemistry in 9 hours for $4,232 and discovered 3 compounds to help fight cancer. Learn how from Novartis' Global Head of Scientific Computing.

Cycle Computing
With world class expertise in compute-intensive environments, Cycle Computing helps clients in research & science maximize existing infrastructure and increase compute power by provisioning large-scale, secure HPC clusters on desktops, servers, virtualized environments and in on-demand with Amazon EC2 Spot. To learn more, visit the Scientific Computing using Spot page.

Flux7
Flux7, an IT consultancy, helps businesses create or optimize cloud infrastructure that provides elastic support for applications and workflows, helping customers to control costs while easily scaling to meet demands. They are an APN Healthcare Partner, with demonstrated success in building solutions for healthcare payers and providers.

Spotinst
Spotinst helps clients fully leverage the cloud’s excess capacity power with an elegant and reliable approach to handle Spot instances. The Elastigroup autoscaling engine automatically creates and maintains blended clusters composed from primarily EC2 Spot, On-demand and Reserved instances. In order to optimize the clusters, Elastigroup automatically balances between the three price models, and as part of that, maintains and manages the Spot instance purchasing operations and interruptions. This includes setting the bid and selecting the instance and Availability Zone.