AWS Partner Network (APN) Blog

The AWS Competency Program welcomed 20 new APN Partners in August—spanning workload, solution, and industry designations. The AWS Competency Program helps customers identify and choose the world’s top APN Partners that have demonstrated technical proficiency and proven customer success in specialized solution areas. Please join us in welcoming our newest AWS Competency Partners!

AWS provides a broad set of managed services for data analytics that, along with a strong APN Partner community, can help you build a scalable, secure, and cost-effective data lake. Customers and APN Partners want to know how to put all these pieces so we created a new poster and video explaining the overall flow of data—from data collection, storage, and processing all the way to analytics and machine learning.

By leveraging services like Amazon S3 to host content, AWS Competency Partner Cloudar has a cost effective way to build websites that are highly available. If content is stored in a single Amazon S3 bucket, all of the content is stored in a single AWS region. To serve content from other regions, you need to route requests to different Amazon S3 buckets. In this post, explore how to accomplished this by using Amazon CloudFront as a content delivery network and Lambda@Edge as a router.

Over the last year, Five Talent has implemented the AWS Well-Architected Framework to help large enterprise customers, mid-sized companies, and startups across the globe. In this post, explore how leveraging the Well-Architected Framework Review accelerates new business opportunities and gives customers a holistic, comprehensive process for managing cloud technology and understanding its impact on their business.

Launch Partners in the AWS Industrial Software Competency Program have built solutions on AWS targeting the primary steps in discrete manufacturing or process industries: Product Design, Production Design, and Production/Operations. These solutions follow AWS best practices for building the most secure, high-performing, resilient, and efficient cloud infrastructure for industry applications. Here are customer stories from APN Partners Siemens Teamcenter, Gräbert GmbH, ZeroLight, Cadence, and Actyx.

Ensuring customers can effectively manage their AWS environments is critical to enabling a successful cloud strategy. Common customer feedback that we hear includes difficulties maintaining control of their AWS environments and managing spend to realize full return on investment. To help customers address these challenges, we are excited to announce the AWS Cloud Management Tools Competency Program.

Launch Partners in the AWS Cloud Management Tools Competency Program have built solutions on AWS that enable customers’ cloud strategies by delivering operations and governance best practices. CMT Competency Partners help customers confidently manage and optimize AWS environments using a “guardrails” approach while continuously monitoring for opportunities to improve efficiency. Here are a few customer stories from APN Partners Cloudability, GoClouds Data, Moogsoft, and Turbonomic.

While market adoption of machine learning varies across industry segments, healthcare and life sciences have lots of opportunity to explore. Pharmaceutical and biotech industries, specifically, have low utilization of the large volumes of data they collect and store for regulatory purposes. Bigfinite is an APN Standard Technology Partner that offers a number of ML solutions to enhance utilization and management of such data in a way that adheres to Good Manufacturing Practice (GMP) in the cloud.

The Modernization Platform-as-a-Service (ModPaaS) from APN Partner Modern Systems allows customers to collaborate in a highly-customizable manner. ModPaaS is available on AWS Marketplace and gives you access to Modern Systems-developed modernization solutions “as a service” on AWS. It can be used in a self-service manner, with assistance from Modern Systems’ modernization specialists, or in a fully-managed approach similar to traditional project engagements.

Mainframe monoliths have grown over the years with overwhelming complexity. They often mix different languages and data stores with various interfaces, evolving coding standards, online and batch, and millions of lines of code. With AWS, customers use microservices for agility, elasticity, and pay-as-you-go cloud technology. In this post, we explore Blu Age solutions to peel off AWS microservices from a mainframe monolith, and how to solve data challenges associated with such a migration.