Tag: Lambda@Edge

In the digital-first era, being a content platform means serving thousands of requests per second to users all over the world. Learn how Contentful delivers media files using Amazon CloudFront with Lambda@Edge, achieving low latency on every region worldwide while also running custom-code at the edge that enables security features and high availability. With Lambda@Edge, Contentful can easily ship code that runs close to the user to deliver secure assets.

Montoux’s next-generation decision science platform for insurers uniquely combines actuarial and data science in its software, providing a modern, flexible, and sophisticated alternative to legacy actuarial software. Learn how the AI-driven model replication module is specifically developed to support an insurer’s transition to cloud and reduces the time, cost, and effort required to migrate to a new platform.

Modern e-commerce websites face challenges in website versioning, system uptime, continuous deployments, and A/B testing. Migrating a full e-commerce solution is not a trivial project, and doing so while maintaining two versions of the website in production makes it more challenging on many levels. Leveraging AWS edge services, you can increase business agility by not only improving the migration experience, but also by employing A/B testing to validate business decisions faster.

One of the biggest obstacles for brands today is improving the performance of their digital properties. While much of today’s marketing technologies leverage modern advances in cloud computing, many of the technologies powering digital properties (web and mobile sites) still use the prior generation of server-based technologies. Learn how to modernize your digital technology stack with Crownpeak to optimize customer experiences for speed, and ultimately improve performance for your brand.

Deep learning is inspired by the human brain and once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial neural network learns to detect more and more types of cyber threats, its prediction capabilities become instinctive. As a result, malware both known and new can be predicted and prevented in zero-time. Deep Instinct’s predictive threat prevention platform can be applied against known or unknown threats, whether it be a file or fileless attack.