AWS Partner Network (APN) Blog

To ensure the safety of travelers and give them renewed confidence in flying, the air travel industry has introduced processes to obtain and validate COVID-19 vaccination information before journey commencement at the origin airport. In this post, we discuss how the WNS Document Verification Solution leverages Amazon Web Services (AWS) to capture auditor telemetry for enabling increased auditor productivity.

AWS is excited to announce that 85 new, additional countries are now approved for the Commercial Channel Programs which consists of the AWS Solution Provider Program and AWS Distribution Program. This announcement means AWS Partners located in these countries are now allowed into our reseller programs, which greatly accelerates AWS’s ability to expand into these regions by several years. Authorized AWS Distributors already have coverage in 60 of the 85 newly-authorized countries.

LoRaWAN is a leading protocol utilizing Semtech’s LoRa long-range communications technology for LPWAN in battery-operated, remote monitoring, and control applications. AWS IoT Core for LoRaWAN offers a fully-managed LoRaWAN network server and delivers highly scalable, reliable services for a wide variety of use cases. Learn the core elements in an asset tracking application and how AWS and Semtech help lower the barrier for developers looking to deploy solutions.

AWS Migration Hub Refactor Spaces is designed to help customers refactor existing applications incrementally, while increasing business agility and time to market and maximizing the business value of AWS. Follow a demonstration of an actual upgrade of a monolithic application with AWS Migration Hub Refactor Spaces, including setting up the Migration Spaces environment and refactoring two microservices of the monolithic application.

One of the biggest advantages of VMware Cloud on AWS is that it can readily integrate with other AWS services. That gives you countless ways to elevate your workloads. If you’re amassing data in your databases over time and are looking for novel ways to glean fresh insights out of it, using Amazon Redshift and Amazon QuickSight is an easy and accessible way to achieve it. This post describes how to get more out of existing data residing inside your databases running in VMware Cloud on AWS.

Firms spend substantial efforts to identify and collect quality data streams from different sources. However, identifying and interpreting energy, water, or gas usage patterns and consumption types is sometimes insufficient. In this post, you’ll learn how Storm Reply, combining industry knowledge with its expertise in the development of data analytics platforms in AWS, can help customers in the design, development, and maintenance of secure serverless IoT big data platforms with a focus on sustainability.

AWS artificial intelligence services can serve as a kind of ready-made building block that enable companies of all sizes and sectors to gain experience and create their own AI services, without having to build the fundamental functions from the bottom up. Via the cloud, companies can access AWS AI services and create their own chatbots, image analysis, or personalization tools, for example. To implement and customize these services, companies can draw on the expertise of Trivadis – Part of Accenture.

The F5 BIG-IP Virtual Edition (VE) load balancer deployment adds new Layer 4 application capabilities and added visibility to those applications inside an Amazon EKS cluster to ensure a successful deployment in a containerized environment. This post presents a step-by-step guide for using the F5 BIG-IP VE on AWS as a load balancer for EKS clusters by using additional components, including the F5 Container Ingress Service (CIS) and F5 IPAM Controller (FIC).

Data-driven decision making is accelerating and defining the way organizations work. With this transformation, there has been a rapid adoption of data lakes across the industry. Hear from Rackspace, an AWS Premier Tier Services Partner, about the drawbacks of existing data lake architecture, what Apache Iceberg is, and how it overcomes the shortcomings of the current state of data lakes. Then dive deep on the design differences between Apache Hive and Iceberg.

Data-centric AI (DCAI) has been described as the discipline of systematically engineering the data used to build an AI system. It prescribes prioritizing improving data quality over tweaking algorithms to improve machine learning models. In this post, explore a DCAI solution built on Snowflake and Amazon SageMaker to serve as a factory for predictive analytics solutions. Learn about Snowflake’s integrations with SageMaker and get hands-on resources to help you put these capabilities into practice.