Big Data Archives - Spot.io

Arcadia is a guardian of healthcare data, managing records for more than 170 million patients across their databases. Their customers include many prestigious healthcare organizations, including provider and payer groups When they needed a more efficient way to handle its Amazon Web Services (AWS) instances and manage costs, Arcadia turned to Eco from Spot by […]

Lingk.io is a data loading, data pipelines, and integration platform built on top of Apache Spark, serving commercial customers, with expertise in the education sector. Their visual interface makes it easy to load, deduplicate and enrich data from dozens of sources, and promote projects from development to production in a few clicks. They were looking […]

About Fyber Founded in 2009 HQ: Berlin Industry: Software Fyber is an app monetization company with a platform that supports more than 10,000 mobile apps and games. Spot by NetApp Benefits Automated, flexible infrastructure to support dynamic Kubernetes applications Eliminate manual infrastructure management Integration with Terraform for fully automated environments Efficient resource allocation to reduce […]

The Challenge Running Big Data workloads is common in the Account-based Marketing industry and requires a large number of computing resources. Demandbase utilizes hundreds of resource-intensive instances to process hundreds of terabytes of data. As Demandbase became more successful, their user base grew substantially and their infrastructure had to scale accordingly. At this point, costs […]

Spotad Keen on Spot Instances, but Environments Don’t Seem Immediately Compatible Like any forward-thinking business, Spotad always kept one eye on their rising EC2 costs. Naturally, as the company went from success to success, these costs began to increase and Tal Maizels, CTO at Spotad, was determined to find a way to manage these rising […]

HYPR’s Challenge: Fast Phase Growth and AWS Elastic Beanstalk Management HYPR runs a large scale of Elastic Beanstalk environments based on on-demand instances. As a result of a fast phase growth, they needed to scale up their instances at once. They had less than one month to scale, activate and perform ongoing health checks and […]

Reserved Instances Prove too Inflexible and Spot Proves too Difficult to Manage For EyeEm, reserved instances were the first option explored when trying to reduce cloud compute costs. Reserved instances do offer reductions in cost compared to on-demand, yet for EyeEm they were also too limiting: buying a large number of instances in advanced would […]

The Challenge One of our motorsports strategy products requires a lot of horsepower during ‘race day’. Every weekend we need approximately an additional 16 cores and 32GB of memory above what is required during the rest of the week. Initially, we solved this by purchasing machines with specs that were able to handle the peak […]