AWS Partner Network (APN) Blog

Category: Technical How-to

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Using Snowflake to Access and Combine Multiple Datasets Hosted by the Amazon Sustainability Data Initiative

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.

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Using Amazon Comprehend Medical with the Snowflake Data Cloud

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.

Hybrid and Multi-Region Kubernetes Orchestration Using Kublr

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.

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Automate Data Sharing with Informatica Axon Data Marketplace and AWS Lake Formation

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.

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Instant Cutover for High-Availability Legacy Workload Migration Using AWS Outposts, CloudEndure, and Stromasys

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.

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Amazon FSx for NetApp ONTAP with VMware Cloud on AWS Virtual Machines

Customers running virtual machines on VMware Cloud on AWS have unique storage requirements and require a solution that provides a scalable, high performance, and feature-rich file storage. Learn how you can use Amazon FSx for NetApp ONTAP as one of your options for providing storage to virtual machines running on VMware Cloud on AWS. We’ll then discuss different connectivity options available for VMs to access these storage volumes.

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Bring Your Own Public IP (BYOIP) Addresses to VMware Cloud on AWS

Learn how to support a multi-region, business-critical legacy monolithic application with customer-owned static public IPv4 addresses running on VMware Cloud on AWS. You can do this whilst using the AWS Cloud to deliver the Bring Your Own Public IPv4 Address (BYOIP) function with Amazon VPC, Network Load Balancer, Elastic IP address, Amazon Route 53, and VMware Transit Connect. VMware Cloud on AWS is an integrated hybrid cloud offering jointly developed by AWS and VMware.

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Zero Friction AWS Lambda Instrumentation: A Practical Guide to Extensions

As serverless architectures start to grow, finding the right troubleshooting approach becomes a business-critical aspect. In this post, dive into the “instrumentation approach” and how to keep track of internal events within an AWS Lambda function, and how to export processed telemetry data. Lumigo shares a practical guide on how to use AWS Lambda Extensions and follow a storyline of extracting internal events from Lambda functions, processing them, and sending telemetry data to external services.

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How to Build a Fintech App on AWS Using the Plaid API  

Open Finance initiatives have been gaining momentum across the world. These initiatives require that banks provide access to customer data through a common, open API for third-party applications, which are referred to as fintech apps. Learn how to build and deploy a basic fintech app on AWS in under an hour by using the Plaid Link API. This app allows users to sign up, log in, select their bank from a list, connect to that bank, and display the latest transactions.

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Signing Data Using Keys Stored in AWS CloudHSM with Python

AWS CloudHSM enables you to generate and use your own encryption keys on AWS. The standard service for managing keys for signing would usually be AWS KMS, but due to legacy requirements from the customer side the team at BJSS needed to support both SHA256 and SHA1. Learn how BJSS successfully signed some data with a key from AWS CloudHSM using Python, and walk through the setup of an AWS CloudHSM cluster for testing using a sample application.