Tag: Technical Use Cases

The Airnguru Suite is a SaaS for airlines. They provide airlines with new generation pricing technology and pricing intelligence solutions and assist airlines in their internal processes related to pricing. In this article, Data Engineer Cesar Moltedo and CTO Daniel Pizarro, will discuss Airnguru’s product offering, how they leveraged Spot Instances to reduce costs, some of the challenges they faced using this technology, and how they solved them.

Backbase is a leader in digital first, omni-channel banking platform and creator of the Backbase Digital-First Banking Platform, a state-of-the-art digital banking software solution that unifies data and functionality from traditional core systems and new fintech players into a seamless, digital customer experience. As they grew, they found that they needed a way to keep resourcing costs low. Here’s how they leveraged Amazon EC2 hibernation to do it.

The construction industry in Germany is second to last when it comes to digitalization, but software startup Capmo hopes to change that by seamlessly integrating with modern technologies and advancements in other fields, as well as newly gained insights from analyzing data to drive disruption of the industry.

Since dely is able to create its own recipe content, the startup can control both human wave-attack based and rule-based annotation, as well as how to apply feedback from user activities. In particular, Amazon SageMaker allows dely to train and deploy models quickly without the cost of additional resources. Here’s how.

Allie K. Miller the Head of ML Growth, Startups and Venture Capital and Emily Webber, Machine Learning Specialist Solutions Architect, both of AWS, walk through how to create an Amazon SageMaker notebook instance.

Reverie Labs uses computation to drive the development of therapeutics for cancer. To do this, they’ve built substantial cloud-based infrastructure to train machine learning models, deploy models to production, and build and ship internal-facing applications for our chemistry teams.

At OpenVPN, which provides secure and scalable communication services, we wanted to launch a virtual private network (VPN) using AWS to provide our remote workforce with security and privacy wherever they are. Here’s how we did it and how it would fit for a use case for a small business.

Druva was born in 2007 when Jaspreet Singh, Ramani Kothandaraman and Milind Borate came together with the thought of disrupting the data protection market. Data protection solutions had become cumbersome to deploy and manage. More often than not, you faced issues when you tried to restore data that was backed up months ago. They wanted to change that.

Individual teams at Cure.fit, a health and fitness app, tried solving poor resource utilization issues by manually clubbing compatible services. Instead of applying band-aid solutions they decided it was time to fix both problems permanently. Here’s how they did it.

Stream has come a long way since they first started working with AWS, and now powers feeds and chat for more than 500 million end-users. In this blog post, Thierry Schellenbach, the Co-Founder and CEO of Stream covers some of the best practices and AWS services that allowed them to sustain this rapid growth.