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.

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Guttman Labs (at CalTech)

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 >>

Lotame

“Analytics is at the core of Lotame platform which helps our customers to maximize the value of data. We use Spot instances to run large-scale Big Data Analytics workloads. The new EC2 Spot Instances pricing model makes it even easier for us to acquire Spot capacity at predictable prices, giving us more confidence in the savings and stability we can get by moving additional workloads to Spot Instances.”

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.

Inneractive

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 >>

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.

CoreLogic

CoreLogic is the largest provider of property information, analytics and property-related risk management services in Australia and New Zealand. CoreLogic replaced their EC2 fleet with spot instances and use a worker pattern to reduce their compute costs by 90% Learn more.

Revcontent

“We use Spot instances to run our Jenkins code deployments and production web server workloads. The new EC2 Spot Instances pricing model makes it even easier for us to acquire Spot capacity at predictable prices, giving us more confidence in the savings and stability we can get by moving additional workloads to Spot Instances.”

FuseFX logo

FuseFX

FuseFX is an award-winning visual effects (VFX) studio that specializes in content creation for television, film, commercials, games, and special venues. FuseFX uses Thinkbox Deadline and Amazon EC2 Spot Instances to render its scenes, enabling it to meet project deadlines. Thinkbox Deadline is a render management solution that integrates with the AWS Portal, enabling VFX studios to take advantage of the reduced rendering cost available via Amazon EC2 Spot Instances. “Using Spot Instances gives us limitless capacity. We would not be able to make our delivery schedules without Deadline and Spot, and we no longer need to worry about having enough physical capacity for rendering. We can react on a moment’s notice to our daily rendering needs. This allows us to be agile and efficient.” –Jason Fotter, CTO, FuseFX

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.

Caltech

“We use EC2 Spot instances to perform high-intensity genomic sequencing that requires analyzing large data sets to discover millions of unique patterns to detect early-stage cancer. As our research needs vary week over week, we have spiky computing needs and Spot’s new pricing model gives us the reliability of savings to scale our research with low and predictable prices.”

GRAIL

“We use EC2 Spot instances to perform high-intensity genomic sequencing that requires analyzing large data sets to discover millions of unique patterns to detect early-stage cancer. As our research needs vary week over week, we have spiky computing needs and Spot’s new pricing model gives us the reliability of savings to scale our research with low and predictable prices.”

illumina

“We use EC2 Spot instances to perform high-intensity genomic sequencing enabling our customers to read and understand genetic variations. We are excited to move our additional genetic pipelines that run for more than 12 hours to Spot Instances as Spot’s new pricing model makes it even easier for us to acquire Spot capacity and gives us the reliability of savings at low and predictable prices”

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.

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.