Tag: AWS Competency Partners

Data is growing in all aspects of our world; every vertical and technical domain is being pushed to the limit by growing data—geospatial is no exception. Learn about Esri’s ArcGIS GeoAnalytics Engine on Amazon EMR and how its geospatial capabilities can complement your current analytics workflows. GeoAnalytics seamlessly integrates with Amazon EMR and can be deployed with an Esri-provided bootstrap script at EMR cluster creation.

This year marks the 10-year anniversary of the AWS Partner Network (APN). To celebrate this important milestone, we’re launching a series of partner transformation stories—“10 Years of Success”—highlighting some of our AWS Partners who have been “all in” and grown with us over the past decade. Up first in our Q&A-style series is Cloudsoft, an AWS Advanced Tier Services Partner that helps businesses securely migrate, run, and evolve applications in the cloud.

As part of its SaaS platform, Druva runs containerized applications with microservices architecture using Auto Scaling groups and Amazon Amazon ECS. Explore the cost optimization journey of Druva using Spot instances with Auto Scaling groups, challenges faced by them during this journey, and how attribute-based instance type selection (ABS) came to the rescue in addressing those challenges in optimizing costs.

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.

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.

Customers building on AWS can benefit from specific alignment to either their architecture or an industry vertical via lenses which are included within the AWS Well-Architected Tool and include questions applicable to that particular workload. Learn how findings from the Serverless Application Lens can be automated using Dashbird Insights to show misconfigurations and best practice violations in relation to serverless workloads. This post walks through the deployment of an example serverless application that we’ll profile using Dashbird Insights.

Learn how the CIS AWS Foundations Benchmark helps organizations operate securely whilst examining the common challenges businesses face in its implementation. Stax can offer a solution to speed up AWS account creation while adhering to the CIS AWS Foundations Benchmark. Creating and configuring AWS accounts securely can be a time-consuming and tedious exercise. Competing priorities can result in rushed or inconsistent process, impacting security, agility, and velocity.

As a long-standing partner of automotive and life science companies, the Atos Science + Computing Unit specializes in providing customers with tailor-made and demand-driven HPC solutions. Learn about two hybrid HPC deployments that are transparently integrated with the traditional workload manager that controls existing on-premises HPC resources, and how they are distinguished by entirely different approaches.