AWS Partner Network (APN) Blog

Tag: AWS Competency Partners

T-Systems-APN-Blog-071522

How T-Systems Enabled AWS Config at Scale for Deutsche Telekom IT’s Landing Zone

Learn how T-Systems has enabled AWS Config at scale on Deutsche Telekom IT’s AWS landing zone, which is a brownfield environment with more than 600 AWS accounts. AWS Config is a governance and compliance service that enables you to assess, audit, and evaluate the configurations of your resources. The main motivator for Deutsche Telekom IT using AWS Config is that developing compliance checks using custom tools was time consuming, unscalable, and came with a large operational overhead.

Esri-APN-Blog-071322

Big Data Analytics with Amazon EMR and Esri’s ArcGIS GeoAnalytics Engine

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.

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10 Years of Success: AWS and Cloudsoft

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.

Druva-APN-Blog-070822

Future Proof Cost Optimization with Attribute-Based Instance Type Selection and Amazon EC2 Spot

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.

Safely Modernizing a Monolith with AWS Migration Hub Refactor Spaces

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.

Adding F5 BIG-IP Virtual Edition Load Balancing for Container Network Functions in Amazon EKS

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).

Rackspace-APN-Blog-062822

Apache Iceberg: An Introduction from Rackspace on Running the New Open Table Format on AWS

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.

Snowflake-APN-Blog-062722

Enabling Data-Centric Artificial Intelligence Through Snowflake and Amazon SageMaker

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.

Automating Serverless Best Practices with Dashbird’s Serverless Well-Architected Insights

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.

Create AWS Accounts and Align to the CIS AWS Foundations Benchmark with Stax

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.