Category: Advanced (300)

By powering personalized, relevant, and timely digital interactions built on guest behavior data, Braze can help AWS lodging customers generate additional revenue and engage guests for the long run using personalization. Learn how a hotel customer can rapidly and simply transform their web booking engine into a digital user engagement solution offering a personalized booking experience including upsell capabilities.

Learn how DXC Technology was able to leverage Amazon ECS Anywhere to fulfill regulatory and compute requirements and increase operational efficiency for a use case for an in-house proprietary tool where a part of the application stack must run on premises. DXC needed a hybrid cloud solution to execute their toolkit data capture and analysis strategy without major changes in application design or architecture.

Many SaaS providers are leveraging Amazon EKS to build their solutions on AWS, as EKS provides builders with a range of different constructs that can be used to implement multi-tenant strategies. In this post, explore an architecture based on EKS that demonstrates a siloed SaaS deployment model, using Istio Service Mesh to manage request authentication and per-tenant routing. Istio is an open-source service mesh that many SaaS providers use for deploying their multi-tenant applications.

The zero-cost Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to analyze large sustainability datasets. In this post, we’ll use Snowflake, a data cloud company, to work with two different ASDI datasets containing climate and air quality data. We’ll demonstrate how to access ASDI datasets, join them together by date, and ultimately form a merged result.

Healthcare customers use Snowflake to store all types of clinical data in a single source of truth. One method for gaining insights from this data is to use Amazon Comprehend Medical, which is a HIPAA-eligible natural language processing service that uses machine learning to extract health data from medical text. Learn how the Snowflake Data Cloud allows healthcare and life sciences organizations to centralize data in a single and secure location.

Organizations hosting customer-specific machine learning models on AWS have unique isolation and performance requirements and require a solution that provides a scalable, high-performance, and feature-rich ML platform. Learn how Amazon SageMaker Pipelines helps you to pre-process data, build, train, tune, and register ML models in SaaS applications. We’ll focus on best practices for building tenant-specific ML models with particular focus on tenant isolation and cost attribution.

Kublr is a Kubernetes management platform which accelerates and controls the deployment, scaling, monitoring, and management of Kubernetes clusters. Learn how provisioning and managing Kubernetes clusters across multiple regions can be simplified with Kublr, ensuring quick deployment of a production-ready, operationally mature, multi-region, cloud-native container management platform-based Kubernetes.

Amazon Athena is a serverless interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Data stored in S3 can span gigabytes to petabytes, however, and querying such massive data poses unique challenges. Follow along as experts from AWS and Innovative Solutions present a use case-based approach to help evaluate these challenges and propose solutions to improve Amazon Athena query performance.

A key goal of modern data strategy, whether a data mesh, data fabric, data lake, or data warehouse, is to deliver access to data when and where it’s needed. Learn how AWS and Informatica can combine and automate data governance for access within a data marketplace. This solution combines Information’s data governance architecture and the Informatica Intelligent Data Management Cloud (IDMC) which orchestrates and automates data access management with AWS Lake Formation.

Numerous legacy workloads, still hosted on premises, are mission-critical and hardly interruptible. Their migration to AWS must happen quasi-transparently for their users. This post details how the combination of AWS Outposts and CloudEndure can be used to solve for this issue. We demonstrate this by migrating a Solaris machine making use of the Charon SSP emulator by Stromasys, running on standard Amazon EC2 instances and using CloudEndure.