AWS Partner Network (APN) Blog

Tag: AWS Partner Guest Post

WANdisco-AWS-Partners

WANdisco Accelerates GoDaddy’s Hadoop Cloud Migration to AWS Without Business Interruption

Advances in migration technology enable you to migrate data from actively-used Hadoop environments at scale to the cloud. You can benefit from AWS managed services, pace of innovation, and improve costs for your largest and most complex analytic workloads. Learn how GoDaddy migrated data from their 800-node, 2.5 PB production Apache Hadoop cluster to Amazon S3 using WANdisco’s LiveData Migrator product.

Instana-AWS-Partners

Automatically Visualize and Monitor Applications on Amazon EKS with Instana

The shift from a traditional Service Oriented Architecture (SOA) to microservices running on Kubernetes has given rise to a new set of challenges. To avoid blind spots, engineers need visibility into the dependencies between different microservices at the individual request level. Learn how Instana has fully automated the installation of the monitoring agent into Kubernetes, and how it helps monitor containerized workloads in Amazon EKS.

ThoughtSpot-AWS-Partners

AI-Driven Analytics at Any Scale with ThoughtSpot and Amazon Redshift

ThoughtSpot has developed a way for business people to easily answer their own data questions. Search-driven analytics is based on the concept that finding answers to business questions should be as easy as a basic internet search. With ThoughtSpot, there’s no need for SQL expertise or lengthy training sessions—rather, simple searches are translated into database queries and answers are calculated on-the-fly.

How Ensono Delivered Guinness World Records’ Award-Winning Migration of Windows Workloads to AWS

Many organizations are cautious about moving to the cloud, or are fighting against gravity by staying on-premises. To keep up with their community’s needs, Guinness World Records has had to reimagine their IT architecture. Learn how Ensono helped Guinness World Records move all-in on AWS over a period of 10 months, and explore how Ensono continues to help them innovate using advanced AWS services.

Guardicore-AWS-Partners

Improving Security in the Cloud with Micro-Segmentation 

Micro-segmentation is a building-block of the shared responsibility security model and makes your security measures more effective. Understanding of the shared responsibility security model is imperative for successful, secure cloud and digital transformation projects, as well as the future growth of public cloud infrastructure. Learn how implementing micro-segmentation as part of that process can help you maintain a more secure environment than simple traditional perimeter security.

VTEX-AWS-Partners

One Thousand Orders Per Minute: Peak Retail Planning and Architecture from VTEX and Grupo Éxito

In Colombia, Grupo Éxito has been using VTEX’s marketplace platform capabilities to allow more than 1,000 retailers to connect and sell their products, extend their reach, and ease customer access to an extensive variety of products in a single place. Together with other features such as VTEX Intelligent Search (a fine-tuning search system), Éxito has received positive feedback by making the migration from Oracle ATG to VTEX. They have also experienced continuous improvements, culminating with the Día sin IVA series.

nClouds-AWS-Partners

Rapid Data Lake Development with Data Lake as Code Using AWS CloudFormation

Data lakes have evolved into the single store-platform for all enterprise data managed. On AWS, an integrated set of services are available to engineer and automate data lakes. A data lake on AWS is able to group all of the previously mentioned services of relational and non-relational data and allow you to query results faster and at a lower cost. Learn how nClouds used code automation via AWS CloudFormation to create a dynamic data lake stack to visualize and analyze the financial market data.

How to Export a Model from Domino for Deployment in Amazon SageMaker

Data science is driving significant value for many organizations, including fueling new revenue streams, improving longstanding processes, and optimizing customer experience. Domino Data Lab empowers code-first data science teams to overcome these challenges of building and deploying data science at scale. Learn how to build and export a model from the Domino platform for deployment in Amazon SageMaker. Deploying models within Domino provides insight into the full model lineage.

ClearScale-AWS-Partners

How AWS Machine Learning Services Increase Medical Coding Accuracy and Efficiency

Medical coding helps providers maintain patient records and obtain reimbursement for services. Unfortunately, the process is complicated, time-consuming, and prone to error. Learn how ClearScale developed a solution that increases the efficiency and accuracy of the coding process. Powered by AWS Machine Learning, the application translates recorded medical appointment notes, and uses the information to generate more accurate medical codes.

MongoDB-AWS-Partners

Connecting Applications Securely to a MongoDB Atlas Data Plane with AWS PrivateLink

Customers want to guarantee private connectivity to MongoDB Atlas running on AWS. All dedicated clusters on MongoDB Atlas are deployed in their own VPC, so customers usually connect to a cluster via VPC peering or public IP access-listing. AWS PrivateLink allows you to securely access MongoDB Atlas clusters from your own VPC. In this post, follow step-by-step instructions to configure AWS PrivateLink for MongoDB Atlas, ensuring private connectivity to your data.