AWS Partner Network (APN) Blog

MachineMetrics, an AWS Industrial Software Competency Partner, is committed to supporting front-line workers on the manufacturing floor and in the medical field. By enabling mobile workers, industrial companies are better able to ensure the safety of their employees while continuing to serve their own customers. MachineMetrics is offering free access to its Industrial IoT platform to any manufacturer involved with the production of ventilator parts, test equipment, protective equipment, or COVID-19 treatment-related manufacturing.

To help support our APN Partners in this unprecedented time, AWS Training and Certification provides an enhanced portfolio of online resources so you can virtually grow your cloud skills and confidence on AWS. Learn about the new resources for APN Partners that have been developed for remote learning. This includes free virtual and on-demand trainings and online webinar series, as well as online AWS Certification exams and readiness workshops.

A critical first step to successfully migrate workloads from data centers to AWS is to analyze the IT assets in your data center using a comprehensive discovery process, followed by a total cost of ownership analysis to produce a directional business case for migration. Learn about the key characteristics of technologies needed to effectively serve the discovery purpose, such as modelizeIT, an advanced discovery and application architecture mapping tool that helps customers maximize discovery automation and accuracy.

AWS IoT Core supports billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and other devices reliably and securely. AWS IoT Core requires X.509 certificates for authentication, but the X.509 standard consumes battery power, negating LPWAN’s advantage in that area. Telefonica developed a data bridge to enable IoT devices to connect securely to AWS IoT Core, while preserving the long range, low cost, and low power advantages of LPWAN connections.

When streaming data comes in from a variety of sources, organizations should have the capability to ingest this data quickly and join it with other relevant business data to derive insights and provide positive experiences to customers. Learn how you can build and run a fully managed Apache Kafka-compatible Amazon MSK to ingest streaming data, and explore how to use a Kafka connect application to persist this data to Snowflake. This enables businesses to derive near real-time insights into end users’ experiences and feedback.

Terraform and AWS CloudFormation allow you to express infrastructure resources as code and manage them programmatically. Each has its advantages, but some enterprises already have expertise in Terraform and prefer using it to manage their AWS resources. To accommodate that preference, CloudFormation allows you to use non-AWS resources to manage AWS infrastructure. Learn the steps to create a CloudFormation registry resource type for Terraform and deploy it as an AWS Service Catalog product.

Many vendors, services, and resources are available to migrate one or two applications at a time, but most struggle to migrate a large number of applications with the same skill level and outcomes. A tool that provided effective application discovery and containerization for a large number of apps was missing. CloudHedge’s automated discovery, containerization, and deployment tools can reduce the time and effort required to transform large numbers of monolithic, on-premises Windows applications to cloud-native services running on AWS.

We are excited to highlight 49 APN Partners that received new designations in March for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

In spite of the rich set of machine learning tools AWS provides, coordinating and monitoring workflows across an ML pipeline remains a complex task. Control-M by BMC Software that simplifies complex application, data, and file transfer workflows, whether on-premises, on the AWS Cloud, or across a hybrid cloud model. Walk through the architecture of a predictive maintenance system we developed to simplify the complex orchestration steps in a machine learning pipeline used to reduce downtime and costs for a trucking company.

In order to deliver serverless applications, customers often turn to DevOps principles to efficiently build, deploy, operate, and iterate on features and changes. CI/CD is one of the major components of DevOps that helps deliver code faster and more reliably to production. GitLab’s continuous integration offering provides a rich set of features for automating how new code is incorporated into your software and how new versions of your software get built and deployed.