AWS Partner Network (APN) Blog

Containers are an increasingly important way for developers to package and deploy their applications. AWS customers use containers as the fundamental unit of compute to deploy both existing and net-new workloads like microservices, big data, machine learning models, and batch jobs. At AWS re:Invent 2018, we announced the AWS Container Competency Program to highlight top APN Partner solutions that offer support to run workloads on containers on AWS.

The new AWS Device Qualification Program makes it easier for APN Partners to qualify their devices on AWS IoT Greengrass, Amazon FreeRTOS, AWS IoT Core, and/or Amazon Kinesis Video Streams so that customers can find and purchase hardware they can trust for their IoT projects. With AWS IoT along with our APN Partners and their qualified hardware, customers will have the intelligence needed to build new services and business models, improve products and services, and strengthen the customer experiences.

The AWS Service Delivery Program identifies and endorses APN Partners with validated customer experience and a deep understanding of specific AWS services, such as Amazon Aurora, Amazon Redshift, and Amazon EC2 for Windows. Please join us in congratulating these top 8 APN Partners on achieving AWS Service Delivery Program designations in October. Each organization follows AWS best practices and has proven success delivering AWS services to end customers.

Many organizations feel that AI will be the biggest disruptor to their industry in the next five years, and many leaders are asking if machine learning is right for their business. We offer an approach to identifying real business value using ML and discuss how to identify and quantify which use cases are the best fit for your industry and how to derive business value with the help of AWS Machine Learning Competency Partners.

Managed services have historically been tied to infrastructure, but next-generation MSPs are involved at a much deeper level on the AWS Cloud. It’s not just about managing the infrastructure anymore. It’s about managing the full lifecycle of services—from planning and designing to building and optimizing workloads for AWS Customers. The AWS MSP Partner Program recognizes leading APN Consulting Partners that are highly skilled at providing full lifecycle solutions to AWS Customers.

The AWS Competency Program welcomed 25 new APN Partners in October—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!

NetOps ensures the infrastructure used to support application delivery is configured for performance, scalability, and availability. SecOps ensures that applications, regardless of where they are deployed, are done so in a consistent and secure manner. F5 Networks shows how to walk through a typical application deployment utilizing the F5 BIG-IP Cloud Edition to provide a centralized point of control for provisioning, configuring, and managing F5 BIG-IP application delivery controllers.

Ippon Technologies has successfully re-written a large mainframe third-party software package to Java Angular Spring Boot microservices. The package supported 130 TPS and 1,800 MIPS, catered to over 5,000 users, and housed more than 5 TB of business-critical data. Ippon helped the customer define the approach and architecture, and then developed the microservices along with the CI/CD pipeline on AWS. Learn about the project’s technical aspects, methodologies, and lessons learned.

Dome9’s integration with Amazon GuardDuty brings to the table a way of surfacing security findings, providing context and creating automated remediations. Users that identify a finding can look through their Dome9 console and pinpoint the exact instance, VPC, and security group associated with it. This helps customers identify the compromised instance, as well as potential instances that may have a similar posture, thereby allowing you to mitigate the risk before exposure.

Do you want to become more familiar with how your company can use artificial intelligence (AI) and machine learning (ML) but feel a bit lost amongst the buzzwords and hype? Driving business outcomes with AI doesn’t need to be overwhelming. It’s all about exploring which business problems you want to solve, how good predictions can help you achieve those outcomes, and then taking practical steps to get there while implementing an organization-wide AI strategy.