AWS Partner Network (APN) Blog

AWS MSP Program

The Business Case for Next-Generation AWS Managed Service Providers (MSPs)

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.

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Say Hello

Say Hello to 25 New AWS Competency Partners Added in October

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!

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F5_AWS Solutions

Simplicity and Security Through Centralized Application Delivery and F5 Networks

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.

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Ippon_AWS Solutions

Re-Writing a Mainframe Software Package to Java on AWS with Ippon Technologies

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.

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AWS Security

Automating Remediation of Amazon GuardDuty Findings with Dome9 CloudBots

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.

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Machine Learning-3

Artificial Intelligence and Machine Learning: Going Beyond the Hype to Drive Better Business Outcomes

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.

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Domino_AWS Solutions

Understanding the Data Science Life Cycle to Drive Competitive Advantage

Companies struggling with data science don’t understand the data science life cycle. As a result, they fall into the trap of the model myth. This is the mistake of thinking that because data scientists work in code, the same processes that works for building software will work for building models. Models are different, and the wrong approach leads to trouble. Domino Data Lab shares that organizations excelling at data science are those that understand it as a unique endeavor, requiring a new approach.

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Crayon-ML-1

An Executive’s Guide to Delivering Business Value Through Data-Driven Innovation and AI

Fostering a data-driven culture within your organization isn’t only about technology. It’s also about enabling stakeholders to make better decisions and realizing new opportunities by embracing an AI-driven mentality for solving business problems. In this post, AWS Machine Learning Competency Partner Crayon discusses some of the first steps you should take and the essential questions to ask yourself as you thoughtfully develop your company’s relationship with data.

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Figure Eight_AWS Solutions

The Curse of Big Data Labeling and Three Ways to Solve It

The nature of data has changed dramatically. Just a decade back, the majority of our data was structured (residing in relational databases) or textual. Now, with the advent of self-driving vehicles, drones, and the Internet of Things (IoT), images and video data are taking the lion’s share of the data storage zoo. As we create more and more data on more and more devices, however, this problem is not going away. In fact, we have reached a point where there aren’t enough people on the planet to label all the data we’re creating.

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VMware Cloud on AWS_blue

Using Elastic Load Balancing for Horizon 7 on VMware Cloud on AWS Deployments

With Horizon 7 on VMware Cloud on AWS, customers can enjoy the agile, flexible consumption models and management of the AWS Cloud. This is great for temporary desktop and application capacity, application locality, data center expansions,POC, and disaster recovery use cases. In this post, we provide guidance on how customers looking to deploy Horizon 7 on VMware Cloud on AWS can make use of Amazon Route 53 and Elastic Load Balancing to provide greater scalability, availability, and fault tolerance.

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