AWS Partner Network (APN) Blog

Tag: Amazon S3

How to Ace the AWS MSP Partner Program Validation Audit with CloudHealth by VMware

In addition to delivering value-adding products and services, next-gen MSPs are increasingly expected to provide validation that they can meet all of your cloud needs. For AWS Managed Service Providers, learn how using CloudHealth by VMware can help you meet many of the requirements to become an AWS MSP Partner. CloudHealth makes it possible for enterprises to control and analyze the costs, compliance, and performance of their computing environments.

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How Onica Leverages AWS AI, ML, and IoT Services to Combat the Pandemic

Many organizations have started applying machine learning and artificial intelligence expertise to scale customer communications and accelerate research during the COVID-19 pandemic. Onica has been actively involved in these efforts, leveraging AWS technologies to help decision makers navigate this pandemic. In this post, dive into the technical details of two COVID-19-related solutions Onica has produced and learn about their results and impact.

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Account and VPC Considerations for VMware Cloud on AWS

When VMware Cloud on AWS is connected to the connected VPC, it always uses the default VPC route table in the VPC. During the deployment phase of VMware Cloud on AWS, the Software Defined Data Center is connected to an AWS (or customer) account for seamless access to native AWS services. In this post, we provide guidance on which AWS account and respective VPC to connect VMware Cloud on AWS to take advantage of native AWS service integrations.

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Mainframe Data Migration to AWS with Infosys

Mainframe applications have been running the most mission-critical workloads in many large enterprises for decades. It’s common for them to store, compute, and transfer terabytes of data in day-to-day processing. Modernization projects can fail or become subtly complex in execution for a variety of reasons. Learn how tools and accelerators from Infosys are helping data migration from mainframe systems overcome many technical challenges.

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How to Tokenize and De-Identify Your Data in Amazon RDS with Baffle

Baffle Data Protection Services (DPS) provides a data-centric protection layer allowing customers to tokenize, encrypt, and mask data in Amazon RDS at the column or row level, without any application code modifications while supporting a BYOK or HYOK model. Review the architecture for Baffle DPS, and walk through how to launch and test Baffle DPS from an AWS CloudFormation template with Amazon RDS databases to encrypt data at the column level.

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Amazon Redshift Benchmarking: Comparison of RA3 vs. DS2 Instance Types 

Follow along as Agilisium provides an early look at Amazon Redshift’s ra3.4xlarge instance type (RA3). This post details the result of various tests comparing the performance and cost for the RA3 and DS2 instance types. It will help AWS customers make an informed decision on choosing the instance type best suited to their data storage and compute needs. As a result of choosing the appropriate instance, your applications can perform better while also optimizing costs.

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Loading SaaS Application Data into Snowflake Using Amazon AppFlow and AWS PrivateLink

Customers often need to rely on third-party solutions to extract and transform data from sources such as Slack and Zendesk. Some vendors, however, do not support all of the sources and rely on multiple products to perform ETL and persist data into Snowflake. This post details how Amazon AppFlow simplifies the data transfer process, and how customers can use AWS PrivateLink for transmitting data over AWS rather than via the public internet.

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Ridgeline Leverages AWS SaaS Factory to Launch Enterprise Platform for Investment Managers

The AWS SaaS Factory team had the chance to work with Ridgeline, a privately funded fintech startup determined to modernize investment management software, and help build their purpose-built enterprise platform on AWS. We speak with Chris Petrunik, Director of Engineering at Ridgeline, to learn how their platform works and what advice they have for other businesses building SaaS solutions on AWS.

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Leveraging Serverless Architecture to Build an Enterprise Data Repository Platform for Customer Insights and Analytics

Moving data between multiple data stores requires an extract, transform, load (ETL) process using various data analysis approaches. ETL operations form the backbone of any modern enterprise data and analytics platform. AWS provides a broad range of services to deploy enterprise-grade applications in the cloud. This post explores a strategic collaboration between Tech Mahindra and a customer to build and deploy an enterprise data repository on AWS and create ETL workflows using a serverless architecture.

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How Pr3vent Uses Machine Learning on AWS to Combat Preventable Vision Loss in Infants

Scaling doctors’ expertise through artificial intelligence (AI) and machine learning (ML) provides an affordable and accurate solution, giving millions of infants equal access to eye screening. Learn how Pr3vent, a medical AI company founded by ophthalmologists, teamed up with AWS Machine Learning Competency Partner Provectus to develop an advanced disease screening solution powered by deep learning that detects pathology and signs of possible abnormalities in the retinas of newborns.

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