Tag: APN

Achieving APN Tier Compliance by Meeting the Requirement for Public References 

Achieving APN Tier Compliance by Meeting the Requirement for Public References 

By Ryan Cauthron, Sr. APN Program Manager at AWS

AWS Partner NetworkOn April 1, 2019, the AWS Partner Network (APN) announced updates to the overall APN program, which included updated APN tier requirements. One of those requirements focuses on the identification of publicly referenceable customers.

Customer references are consistently recognized by successful APN Partners as one of the top reasons they are selected by net-new customers.

References give you the opportunity to highlight previous successes and demonstrate how your organization can solve current business challenges for Amazon Web Services (AWS) customers.

In this post, I will cover the ways in which your organization can identify a publicly referenceable customer, the various public asset options available, and how you can track and manage your progress toward compliance against this requirement in APN Partner Central.

What Qualifies as a Public Reference?

The APN’s renewed approach to publicly referenceable customers includes a range of options and improved flexibility for organizations. Achieving compliance may be easier than you think.

Many APN Partners have found they can leverage assets they already have in place to meet this customer-focused requirement while they work to identify future referenceable workloads and customers.

Case Studies

Case studies are considered by our most successful APN Partners to be the highest value referenceable asset you can make available to a potential customer. Case studies can either be self-authored or co-authored with AWS.

We have seen great examples of APN Partners creating unique case studies, leveraging case study templates available in APN Marketing Central, or providing website links that focus on customer success stories.

Other Approved Assets

Case studies are not the only option available to your organization when providing a link to a publicly referenceable asset. Other approved assets include news articles, blog posts, videos, customer quotes, and a page on your website featuring customer logos.

What we care about most when approving references is that your entry clearly indicates the relationship between your organization and the AWS customer, by name, as well as a reference to the AWS-based workload that was delivered.

Download the recently-updated 2019 APN Tier Requirements Guide for additional guidance on publicly available assets you can submit.

Submitting a Public Reference

APN Consulting and Technology Partners at the Select tier and above are required to submit public references per the updated APN tier requirements. The following table outlines the number of public references for each tier.


Once you have identified a referenceable customer, the process for submitting that customer as a public reference has been streamlined to reduce the amount of time, effort, and impact to your organization.

We now provide two simplified ways to submit public references within APN Partner Central.

APN Public References Tool

Your organization’s Alliance Lead can submit a publicly referenceable customer via the Public References Tool in APN Partner Central.

  • Log in to APN Partner Central.
  • Go to View My APN Account.
  • Scroll down to the Public References Tool.
  • Select New and complete the required fields. Click Save.

ACE Pipeline Manager

Previously launched opportunities can be designated as publicly referenceable via the ACE Pipeline Manager.

The APN Customer Engagements (ACE) platform provides you with resources, tools, and the sales and technical support to ensure you are supported in driving meaningful engagements with AWS customers.

  • Log in to APN Partner Central.
  • Go to the My Customers tab.
  • Click into a previously launched opportunity from your list of customers.
  • Select the Public Reference tab.
  • Complete the required fields and click Save.

Both of these methods asks you to provide a few details about your referenceable customer, such as customer name, public reference title, and public reference URL.

Creating Compelling Titles for Your References

We understand you may deliver multiple workloads for your customers. To recognize these efforts with new and existing customers, it’s important to the take advantage of the public reference title field. This allows you to differentiate between various workloads you’ve delivered and want to reference publicly for the same customer.

Examples of informative public reference titles include: “DevOps and Cloud Culture Drive Velocity in Retail,” and “Introducing Serverless to Optimize Cost with Everyday Applications.”

Watch the APN Partner Central Overview video on submitting publicly referenceable customers for a step-by-step walk through of the submission process.

Tracking Your Organization’s Progress

After logging into APN Partner Central, your Alliance Lead can track the count of publicly referenceable customers from the Partner Scorecard Overview.


Publicly referenceable customers submitted via the ACE platform are instantly reflected in your Partner Scorecard. References submitted via the Public References Tool are reviewed for approval within five (5) business days.

Best Practices for Capturing Public References

  • Identify existing case studies, blog posts, news articles, or logo pages that can be leveraged as references.
  • Work with your sales team to identify potential customers that might act as a great customer reference.
  • Review contractual language for updates that might open the door to future reference opportunities.
  • Work with your APN representative to explore additional options for public references, and referenceable assets.

Next Steps

Contact your APN representative with any additional questions you might have about public reference options, or issues related to public reference submissions.

Here are a few quick links to help you get started:

from AWS Partner Network (APN) Blog

AWS re/Start Creates New Career Paths in Cloud Computing for Non-Traditional Job Candidates

AWS re/Start Creates New Career Paths in Cloud Computing for Non-Traditional Job Candidates

By Kevin Kelly, Director of AWS Certification and Education Programs

We’ve heard from AWS Partner Network (APN) Partners and customers around the world that hiring skilled cloud talent can be a challenge. As part of our larger AWS Training and Certification vision, we want to help build a pipeline for entry-level cloud roles.

To this end, we have a new cohort of cloud-ready, AWS-trained individuals ready for employment across the United States.

We are excited to announce the launch of AWS re/Start in the U.S. after a two-year pilot in the United Kingdom. AWS re/Start is a full-time, classroom-based skills development and training program designed to prepare individuals to launch new careers in cloud computing.

Cohorts of 25 students in Atlanta, Dallas, and Miami are finishing up their course of study and will be ready for employment before the end of August 2019.

AWS re-Start-Miami-Cohort-2019

Figure 1 – AWS re/Start learners in Miami, Summer 2019.

About AWS re/Start

AWS re/Start is building a new generation of talent at a time when industry needs it the most. According to Global Knowledge, 70 percent of IT decision-makers said their teams presently face a shortage of necessary skills. Likewise, according to LinkedIn data, cloud computing is the number one hard skill companies need most in 2019.

AWS re/Start is the latest addition to our growing suite of education programs to help build the pipeline of cloud talent, which includes AWS Academy.

AWS re/Start’s mission is to build local talent by providing accessible Amazon Web Services (AWS) skills development and job opportunities to underserved populations. The program recruits unemployed or underemployed individuals, including military veterans and their families as well as young people, and prepares them to launch careers in cloud technology.

AWS re/Start provides learners with scenario-based exercises, labs, and coursework to help them gain the skills needed to be successful in entry-level cloud roles. The program also provides learners with resume and interview coaching to prepare for employer meetings and interviews.

We intentionally developed this program to give people who may not have considered a cloud career a way to get started. We’re not waiting for learners to come to us. We’re bringing cloud to them.

How Are AWS re/Start Graduates Performing in Their New Roles?

Hear from Christopher Livermore, Head of Operations at Hive Home, about how AWS re/Start graduates enabled his team to save time on training and quickly start solving company-specific challenges.

What Do AWS re/Start Graduates Learn in the Program?

Learn how AWS re/Start alumna Savannah learned programming to launch a career on the AWS Cloud.

Hear from AWS re/Start alumnus Cameron about his experience learning scripting and programming in order to launch a career in technology.

Getting Started

If you’re an AWS customer or APN Partner looking to learn more about the AWS re/Start program, please contact the AWS re/Start team >>

from AWS Partner Network (APN) Blog

Best Practices for Managing Your APN Partner Solutions Finder Listing to Connect with Customers

Best Practices for Managing Your APN Partner Solutions Finder Listing to Connect with Customers

By Rose Cruze, APN Partner Support Rep at AWS

AWS Partner NetworkFor AWS Partner Network (APN) Partners at the Select tier and above, the AWS Partner Solutions Finder (PSF) is a useful tool that enables AWS customers to easily search for and connect with APN Consulting and Technology Partners based on their business needs.

This experience is now available in Japanese apart from English.

Customers regularly use the Partner Solutions Finder to discover APN Partners that can help them design, migrate, manage, and optimize workloads on Amazon Web Services (AWS).

Each APN Partner is responsible for managing their own PSF profile listing, with up-to-date information about your company that will help your page surface in customers’ search results.

In this post, I will explore best practices for managing your PSF listing and getting the most out of this valuable resource for APN Partners.

How Customers Use the Search Options

The AWS Partner Solutions Finder search bar delivers results based on partner name, AWS Competency and other APN program designations, as well as partner solutions, case studies, office locations, and other key areas important to customers.

Searches can be further refined based on industry, AWS products, use cases, and public sector offerings such as socioeconomic categories and contract vehicles.


Figure 1 – The search bar delivers results based on company name, keyword, solution, location, and more.

An APN Partner’s standing in PSF search results depends on several factors. It’s primarily based on search relevance related to keywords input by users that connect with partner information such as name, locations, solutions, case studies, and participation in various APN programs.

Another factor that influences standing in PSF search results is a partner’s APN tier status (Select, Advanced, Premier). Organizations at the registered level are not shown in PSF results. Companies must be Select tier or higher to have a visible PSF listing.

With the launch of the PSF in Japanese, APN Partners with offices in Japan will rank higher in the Japanese language experience.

The PSF also surfaces APN Partners based on AWS-validated qualifications, such as AWS Competency and AWS Service Delivery designations, as well as membership in the AWS Managed Services Provider (MSP), Well-Architected, Public Sector, and Solution Provider Partner Programs, to name a few.

APN programs like these help highlight a company’s areas of expertise to AWS customers. Learn more about the differentiation programs available to APN Consulting and Technology Partners, and connect with your partner representative to see how you can join.

What’s Included in Your PSF Listing

The Partner Solutions Finder listing for each APN Partner includes important information about your company’s AWS offering, including:

  • AWS Competencies
  • AWS Service Delivery designations
  • APN program memberships (MSP, Public Sector, Well-Architected)
  • AWS Certifications
  • Target customer base
  • Case studies
  • Company locations

Some of this information is reported by AWS and will appear in an APN Partner’s PSF listing automatically. This includes AWS Competencies, APN program memberships, and public sector contract vehicles. Other information, such as your company logo and areas of focus, must be self-reported by APN Partners in their Partner Central account.

Other information, such as company logo, description, and areas of focus, must be self-reported by APN Partners in their APN Partner Central account. You can also provide content in Japanese apart from English on the My Partner Solution Finder Listing page in Partner Central.

APN Partner descriptions and reported qualifications are provided by the APN Partner and are not verified by AWS.

Let’s take a look at a sample PSF listing and the information that is the responsibility of AWS and the APN Partner to manage. Red designates areas of the PSF listing that are auto-populated by AWS; Green represents areas that must be self-reported by APN Partners. Please click the image to enlarge.


Figure 2 – Red areas of the PSF listing are auto-populated by AWS; green areas must be self-reported by APN Partners.

How to Manage Your PSF Listing

APN Partners at the Select tier and above can manage their Partner Solutions Finder listing in APN Partner Central. To make edits to your listing, Alliance Leads can access the My Partner Solutions Finder Listing page and update the company details section.

You can add office locations and updated partner-reported qualifications. Organizations at the registered level do have access to this page and can update their company information, but the Partner Solution Finder listing page will only go live when they move to the Select tier.

To update your PSF listing, follow these easy steps:

  1. Login to APN Partner Central (Alliance Lead access only).
  2. Click on My Partner Solutions Finder listing.
  3. Choose the information you want to update.
  4. Click Edit on the relevant tab and add content to the field you wish to update, and then Save.
  5. To add Japanese language content to target users on the Japanese experience of PSF, you will discover the options to Add Language on the same pages.
  6. Partners may also add locations to their PSF listing, ensuring your company shows up based on location-related searches from customers.

Updates made to your company name will change the name of your company in APN Partner Central and in the PSF listing. Brief descriptions must be 135 characters or less, and detailed descriptions must be 400 characters or less. A logo is required for all PSF listings.

Once your updates have been submitted to the APN programs team, you will not be able to make edits to your listing during the review period. Listings are reviewed within two (2) business days.

You may also add locations and languages to your PSF listing. To add an additional language other than Japanese, Chinese, and English, submit your brief and detailed company descriptions in the preferred language.

Additional content, such as case studies and solutions can be added in the View My APN Account section in APN Partner Central. Case studies and solutions are highlighted in your PSF listing once these are reviewed and approved by the APN team.

Leads and Opportunities

Customers have the option to connect with APN Partners through the Partner Solutions Finder listing, which creates a lead for your company via the AWS Customer Engagements (ACE) Program.

When a customer chooses to connect with you, they will share their company information, contact details, and a description of their project. Your Alliance Lead can then view this lead in Partner Central in the My Customers tab under the “Leads” section.

Learn more about managing ACE Opportunities >>

Customer Feedback

To help APN Partners gather feedback that can be used to optimize their offerings, we have a Rate this Partner feature on every Partner Solutions Finder listing. Customers can submit feedback to you about an APN Partner’s business, services, or experience.

Customers can submit feedback by following the steps below:

  1. Visit the AWS Partner Solutions Finder.
  2. Search for the APN Partner you worked with.
  3. Click the Rate this Partner button on the right side of the page.
  4. Fill in and submit the Customer Review Form.
  5. Complete the steps to validate your email address.

Each time customers submit a review, we will ask their permission to share their contact information with APN Partners. This gives you an opportunity to know which individuals submitted the feedback and to follow-up with them directly, if applicable.

The APN programs team reviews and verifies customer feedback to ensure responses are valid, constructive, and insightful.

Alliance Leads can view customer reviews in your Partner Scorecard under the “Customer Reviews” section in Partner Central. These are the reviews your customers have opted to share with you.

Learn more about managing your CSAT data in APN Partner Central >>

Next Steps

To learn more about the AWS Partner Solutions Finder, see our FAQsKnowledge Base articles, and User Guide for APN Partners.

Please contact us if you have questions or want to talk to our team about updating your PSF listing.

from AWS Partner Network (APN) Blog

New APN Navigate Tracks Help Partners Build Successful Cloud-Based Businesses

New APN Navigate Tracks Help Partners Build Successful Cloud-Based Businesses

By Jordy Covington, Program Manager at AWS

AWS Navigate-2019Based on high demand from AWS Partner Network (APN) Partners, we developed the APN Navigate program to help companies become more successful in their business differentiation journey on Amazon Web Services (AWS).

APN Navigate is a partner’s path to specialization on AWS, guiding organizations large and small to establish fundamental building blocks that will help them become successful APN Partners.

The APN Navigate Foundations path is where it starts, and partners can grow and become AWS experts through exclusive APN Navigate specialization tracks.

Completing APN Navigate will help partners advance through the APN tiers and prepare for the rigorous validation associated with our APN differentiation programs, such as AWS Competency, AWS Service Delivery, and AWS Managed Service Provider (MSP).

In addition to our existing specialization tracks, which APN Partners are utilizing to build successful AWS-based businesses and deploy innovative solutions on behalf of AWS customers, we are excited to announce a new track for containers on AWS.

Learn More About APN Navigate (2:01)

NEW! AWS Containers Track for APN Navigate

The AWS Containers Navigate specialization track provides a prescriptive path for APN Partners to gain in-depth understanding of AWS container services, including Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Kubernetes Service (Amazon EKS), AWS Fargate, AWS App Mesh, and Amazon Elastic Container Registry (Amazon ECR).

Through the AWS Containers Navigate, APN Partners will learn containers best practices, how the AWS services work together, how to identify potential workloads, and how to correctly position containers during technical and selling motions with customers.

Dive deep on the AWS containers specialization tracks for business and technical pros:

To access any APN Navigate track, an APN Partner Central account is required.

Getting Started with APN Navigate

Organizations that register with the APN will find the APN Navigate Foundations path is automatically made available to support your business in meeting the requirements to reach the APN Select tier. You will receive email communications on how to get started.

For APN Partners looking to specialize in a solution, industry, workload, or service area on AWS, select the APN Navigate tracks you’d like to pursue. Then, have the necessary number of individuals go through the initial trainings to unlock advanced content and exercises, including our step-by-step APN Partner Goals Checklist.

Completion of your checklist will prepare you for application to the AWS Competency Program, which supports differentiation of your consulting offering or technology product.

See all of the APN Navigate specialization tracks >>

APN Navigate Prepares Partners for Success

Whether establishing your organization within the APN, expanding your AWS-based business into new areas of expertise, or educating your workforce with business and technical enablement, we encourage all APN Partners regardless of tier to participate in APN Navigate.

Hear from APN Select Consulting Partner Taysols on the value and benefits the APN Navigate program provides. Taysols specializes in machine learning, data science, advanced analytics, and data engineering on AWS. They chose the APN Navigate Machine Learning track.

See more APN Navigate success stories:

  • Consegna, an APN Advanced Consulting Partner
  • Olikka, an APN Advanced Consulting Partner

How it Works

APN Navigate is available to partners as a self-service tool. The program consists of five phases, each containing at least one “Apply Your Knowledge” checkpoint that validates an APN Partner’s progression through APN Navigate.

Specialized e-learning helps APN Partners achieve intermediate-level knowledge of the solution, workload, industry, or service area they are specializing in.

Business and technical tracks include ongoing enablement through whitepapers, blog posts, webinars, advanced training, templates, and, in some cases, AWS Solution Architect-led boot camps.

Other APN Navigate Tracks

We have many APN Navigate tracks to help your company build a successful AWS-based business, with even more tracks coming soon!

Join the AWS Partner Network (APN)

The APN is the global partner program for technology and consulting businesses using AWS. We are focused on building long-term sustainable businesses by helping APN Partners build, market, and sell their offerings while growing a successful cloud-based business.

See all the benefits of being an APN Partner >>

Why Team Up with an APN Partner?

More than 90 percent of Fortune 100 companies utilize APN Partner solutions and services to drive their business outcomes. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Find an APN Partner that meets your needs >>

from AWS Partner Network (APN) Blog

Know Before You Go: VMware Cloud on AWS at VMworld 2019

Know Before You Go: VMware Cloud on AWS at VMworld 2019

By Shreyak Shah, GTM Product Marketing at AWS
By Patty Grow, Sr. Partner Marketing Manager at AWS

VMworld-2019We are headed back to VMworld in 2019!

VMworld 2019 US brings you a week-long journey of innovation to accelerate your cloud adoption. This year’s event is August 25-29 in San Francisco.

The growth of VMware Cloud on AWS has been nothing short of stellar thanks to a strong partnership between Amazon Web Services (AWS) and VMware, an AWS Partner Network (APN) Advanced Technology Partner.

In the past year, we announced services like Amazon RDS with VMware, AWS Outposts for VMware, and VMware Cloud on AWS, the industry’s longest-running hybrid cloud service.

To get you ready for VMworld 2019 US, we have put together a Know Before You Go Guide highlighting all of the AWS activities you can’t miss.

AWS Presence at VMworld 2019 US

A key part of any VMworld is the Solutions Exchange, and this year is no different as AWS has a big presence on the show floor. AWS is at booth #1127 on the Solutions Exchange floor, which will be to the right of the entrance as you enter the expo hall.

Our booth will have subject matter experts and demos of the latest in VMware Cloud on AWS, Amazon RDS on VMware, Databases, VDI, Backup and Disaster Recovery, and more.

We’ll answer any questions you may have, and there will be a theater with 30 presentations to choose from. You can even win an Amazon Echo Dot, grab some stickers, shirts, or a pair of socks just in case you forgot to pack some for your trip.

Don’t forget to check out our Amazon Deep Racer on display in our booth.

Learn more >>

Breakout Sessions

There are more than 100 sessions (spread across Sunday-Thursday) planned for VMware Cloud on AWS. This includes introductory sessions, APN Partner and third-party solutions, vertical solutions, technical deep dives, customer panels, and various hands-on labs.

Register for an executive session delivered by Sandy Carter, AWS Vice President of Windows & Enterprise Workloads.

Here are some VMware Cloud on AWS sessions; the complete list can be found in the Content Catalog.

Find more sessions about VMware Cloud on AWS >>

Get Trained

The VMware Hands-on Labs demonstrate the real value of VMware solutions. As a VMworld attendee, you’ll gain special access to the latest VMware technologies, including VMware Cloud on AWS, without needing to purchase equipment, software, or licenses. Visit the Hands-On Labs page, or learn more here.


No technology conference can be called complete without a hackathon. The VMware {code} Hackathon allows you to sign up and register a team for yourself, or join an existing team. Ranging from blockchain and Python to Powershell, the possibilities for projects are endless.

VMware Cloud on AWS will be a subtopic under the Hybrid Cloud Theme. Visit the VMware {code} page.

VMworld Fest

End the week with music and live entertainment at VMworld Fest, featuring OneRepublic and several other bands. Grab a drink and unwind with VMworld peers at this exclusive party. Learn more about VMworld Fest.

Rubrik & AWS VMworld Party

Have you ever partied at a former 1930s prohibition speakeasy, complete with vintage video games, skee-ball, bowling, and live music? Well, now’s your chance. Register for Rubrik’s 2019 VMworld party for the experience of a lifetime.

Remember to Get the Guide

To make the most of your on-site experience, please see our Know Before You Go Guide to learn more about the week’s activities related to VMware Cloud on AWS.

Stay in the Know

Check out our websites and follow VMware Cloud on AWS on Twitter to stay in the know during VMworld 2019 US:

We’ll see you there!

from AWS Partner Network (APN) Blog

New AWS Co-Branding Guide Provides Best Practices for Joint Marketing with AWS

New AWS Co-Branding Guide Provides Best Practices for Joint Marketing with AWS

AWS Co-Branding Guide-1Exclusively for members of the AWS Partner Network (APN), we have created the inaugural version of the Amazon Web Services (AWS) Co-Branding Guide.

This guide provides best practices for effectively communicating your brand alongside AWS in approved joint marketing campaigns.

Co-branding with AWS helps to:

  • Educate customers on solutions or services that solve business problems.
  • Create new business opportunities for you and AWS.
  • Highlight the value of collaboration with AWS.

These guidelines detail how AWS brand marks should be used in co-branded assets, such as web banners and social media posts, as well as the different ways APN Partners can co-brand with AWS, all while maintaining your own brand voice.

This guide is a must-read for APN Partners interested in growing their relationship with AWS customers.

Check out the new AWS Co-Branding Guide >>

Who Can Use the Guide?

The AWS Co-Branding Guide is for Select tier and above APN Partners, and AWS Marketplace Sellers.

Please note the AWS Co-Branding Guide applies only to approved co-branded activities and should not be used for an APN Partner’s general marketing that references AWS.

The APN Messaging and Branding Guide, formerly known as the APN Marketing Toolkit, should be used in that scenario. However, many of the messaging guidelines detailed in the APN Messaging and Branding Guide also apply in co-branding.

By leveraging best practices and guidelines for joint marketing with AWS, APN Partners can showcase their expertise and successfully promote their AWS solutions to customers alongside the AWS brand.

AWS Co-Branding Guide

What’s in the Guide?

In the AWS Co-Branding Guide, you will find:

  • Key principles of co-branding with AWS
  • Descriptions of the different ways to co-brand with AWS
  • Details about how to qualify for an AWS Logo Lockup
  • Design and usage guidelines for:
    • AWS Logo
    • AWS Logo Lockup
  • Co-branding do’s and don’ts
  • A co-branding checklist
  • Additional resources

Want to Learn More?

Join our webinar on August 15 to see what’s included in the AWS Co-Branding Guide. We’ll dive deep on co-branding opportunities with AWS and how to ensure your campaigns and activities align with AWS co-branding requirements.

Register for the webinar today >>

from AWS Partner Network (APN) Blog

Enable Your Workers and Protect Sensitive Data with Solutions from AWS End User Computing Competency Partners

Enable Your Workers and Protect Sensitive Data with Solutions from AWS End User Computing Competency Partners

By Renata Melnyk, Sr. Partner Program Manager at AWS

The number of customers moving applications and data to Amazon Web Services (AWS) continues to grow at unprecedented rates. Organizations across the world choose AWS to gain increased business agility, security, and elasticity while reducing overall costs.

At the same time, end user access to company data is facing increased security threats and compliance requirements, accompanied by a growing workforce of mobile and contingent workers.

As a result, securing end user access to applications and data in the cloud is driving companies to pursue desktop and application streaming on AWS. End User Computing solutions on AWS provides a secure way for end users to access company resources from anywhere.

We are excited to introduce the AWS End User Computing (EUC) Competency with top AWS Partner Network (APN) Consulting Partners that can support your company’s need to provision, protect, and get intelligence from end-point devices, end-user apps, and data on AWS.

To receive the AWS Competency designation, APN Partners must undergo rigorous validation as well as an assessment of the security, performance, and reliability of their AWS offerings and practices.

Learn more about the AWS End User Competency Competency >>

AWS EUC Competency-1

AWS EUC Competency Partners are The Next Smart

Teaming up with an AWS Competency Partner is The Next Smart if you want to be successful in today’s complex IT environment and remain that way tomorrow and into the future.

APN Consulting Partners with the AWS EUC Competency provide services and offerings that help customers with strategy, professional services, managing infrastructure, repeatable intellectual property, and optimization of End User Computing technologies on AWS.

When you deploy EUC solutions on AWS, you can maintain security over your data, improve user productivity, simplify IT operations, and enable builders to be more innovative. EUC services on AWS include Amazon WorkSpaces, Amazon AppStream 2.0, Amazon WorkDocs, and Amazon WorkLink.

APN Consulting Partner offerings in this space can be defined as offerings that provide a resource brokering mechanism (control plane), visualization/remote display protocol, and an application execution environment, with either the control plane and/or application execution environment running on AWS.

Explore AWS EUC Competency Partner Solutions

AWS EUC Competency Partner solutions follow AWS best practices for building the most secure, high-performing, resilient, and efficient cloud infrastructure for industry applications.

AWS EUC Competency Advanced and Premier Consulting Partners

Become an AWS EUC Competency Partner

APN Consulting Partners with experience in End User Computing on AWS can learn more about becoming an AWS Competency Partner. The AWS EUC Competency Validation Checklist provides the criteria necessary to achieve the AWS EUC Competency designation.

If your company is looking to achieve any AWS Competency, APN Navigate is the vehicle through which APN Partners prepare for this rigorous validation. Navigate provides partners with a seamless specialization experience to accelerate their path to an AWS Competency designation.

For APN Partners looking to meet AWS EUC Competency validation requirements, the APN Navigate EUC specialization track will help APN Partners meet Advanced tier requirements and achieve key milestones that will prepare them for the AWS EUC Competency validation.

Team Up with an AWS EUC Competency Partner

The AWS End User Computing Competency recognizes APN Advanced and Premier Consulting Partners that can help customers deploy EUC services on AWS. With deep expertise on Amazon Web Services, AWS EUC Competency Partners are uniquely positioned to help companies achieve key business objectives.

The AWS Competency validation helps customers identify and choose top APN Partners with the skills to help your organizaton provision, protect, and get intelligence from end-point devices, applications and data, using a centralized management model on AWS.

Learn more about the AWS End User Computing Competency >>

The Next Smart-APN Blog-2

from AWS Partner Network (APN) Blog

Using AWS PrivateLink Integrations to Access SaaS Solutions from APN Partners

Using AWS PrivateLink Integrations to Access SaaS Solutions from APN Partners

By Mike Deck, Principal Solutions Architect at AWS

PrivateLinkHistorically, it’s been challenging to integrate software-as-a-service (SaaS) solutions without opening your corporate networks to the public internet.

With AWS PrivateLink, you can create an endpoint within your Amazon Virtual Private Cloud (Amazon VPC) that provides access to SaaS applications over a secure, private connection that eliminates the exposure of private data to the public internet.

Once these endpoints are in place, you can consume these services from other resource deployed in your VPC, or from on-premises resources over VPN or AWS Direct Connect.

There are AWS PrivateLink-enabled SaaS offerings from AWS Partner Network (APN) Partners for everything from managed databases to analytics tools and fraud detection APIs. By integrating with AWS PrivateLink, these offerings make it easy to consume fully-managed services while still maintaining a private network configuration that used to require you to host applications yourself.

To help you find SaaS products like these, we are excited to feature solutions from APN SaaS Partners who fully support AWS PrivateLink access to their applications. Products from these top APN Partners have been reviewed and validated by AWS Partner Solutions Architects, follow best practices for integration with AWS PrivateLink, and offer generally available support for the service.

Learn more about the solutions APN Partners offer over AWS PrivateLink endpoints, and be sure to visit the AWS PrivateLink Partners page to dive into product details.

Featured Products from AWS PrivateLink Partners

B-PIPE from Bloomberg

B-PIPE from Bloomberg is a real-time data feed providing programmatic access to Bloomberg’s complete catalog of content (all the same asset classes as the Bloomberg Terminal). Network connectivity with B-PIPE leverages AWS PrivateLink and exposes the services to a set of local IP addresses within the customer’s subnet, thus eliminating DNS issues.

B-PIPE services are presented via network load balancers to further simplify the architecture. Customers do not have to install any Bloomberg equipment or circuits to connect. They can thereby expect to save thousands of dollars a month on connectivity costs and reduce installation time from months to minutes.

Bloomberg is an APN Advanced Technology Partner with the AWS Financial Services Competency.

Learn more about B-PIPE from Bloomberg >>

Dynatrace with AWS PrivateLink from Dynatrace

Dynatrace is among the first APN Partners to support AWS PrivateLink, the newest generation of VPC endpoints that lets you connect applications directly to Amazon VPC so traffic never leaves the AWS network.

With AWS PrivateLink enabled, Dynatrace becomes an extension of your private cloud. AWS PrivateLink creates an additional layer of security and provides better connectivity, which is particularly important in large hybrid cloud environments.

Customers can leverage this capability by connecting their monitored hosts to the Dynatrace VPC endpoint. This ensures that OneAgent traffic never leaves the AWS Cloud. While traffic between OneAgent and Dynatrace Server is encrypted, PrivateLink provides additional security, better connectivity, and reduced traffic costs.

Dynatrace is an APN Advanced Technology Partner with AWS Competencies in DevOps, Migration, and Containers.

Learn more about Dynatrace with AWS PrivateLink >>

Heroku Postgres from Salesforce

Heroku Postgres via PrivateLink enables customers to seamlessly and securely connect Heroku Postgres databases in a Private Space to resources in one or more Amazon VPCs. These connections are secure and stable by default because traffic to and from Heroku Postgres stays on the AWS private network. Once an AWS PrivateLink is set up, there’s no brittle networking configuration to manage.

Heroku Postgres sits at the heart of most apps deployed on Heroku because it is deeply integrated with three key developer workflows.

  • The app-plus-Postgres database integration is the original design pattern that drove the first decade of cloud development. It remains a key driver in helping developers scale from an emerging startup to a high-growth company to a massive enterprise on Heroku.
  • The Salesforce CRM data integration with Heroku Postgres is the next design pattern that enables developers to build highly-personalized apps and experiences. The bi-directional sync of Heroku Connect makes it possible to securely and seamlessly work with and enrich Salesforce CRM data in Heroku.
  • Finally, the Heroku Postgres via AWS PrivateLink integration is the emerging design pattern that unlocks an ecosystem of data resources. With Heroku Postgres via AWS PrivateLink, Heroku provides customers greater architectural choice for building data-centric applications.

Salesforce is an APN Advanced Technology Partner with the AWS DevOps Competency.

Learn more about Heroku Postgres via PrivateLink >>

Hummingbird from CDL

Hummingbird from CDL can complete complex searches from a range of sources and conduct real-time analytics and visualizations to enable businesses to derive meaningful value from their data.

In a world where 2.5 quintillion bytes of data are produced each day, the ability to extract and harness relevant information in real-time is the key to creating modern digital customer experiences.

The solution’s analytics capability allows organizations to match information and spot behavioral patterns in high-volume data traffic in real-time, enabling you to transform the customer journey and price products more competitively.

CDL is an APN Select Technology Partner.

Learn more about Hummingbird from CDL >>

NuDetect, NuDetect for ATO, Smart Interface EMV 3DS, and Trusted Device Using AWS PrivateLink from NuData Security

NuData Security helps enterprises (Fortune 10 to 200) protect consumers from fraudulent activity in real time, occurring from anywhere. As more clients use NuData services, the number of events processed is doubling year over year.

The company’s flagship product, NuDetect, combines the power of four integrated layers of security to verify users based on their inherent behavior. Used by major global brands, NuDetect prevents future fraud and protects online environments in real-time.

NuDetect uses the consumer’s inherent behaviors and advanced technologies to recognize patterns, such as how consumers type, how they browse, how they move their mouse, or how they interact with their device. The product detects evolving attacks and helps customers prevent billions of fraudulent events yearly.

NuData Security is an APN Advanced Technology Partner.

Learn more about NuDetect >>

Snowflake with AWS PrivateLink from Snowflake

Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Snowflake enables the data-driven enterprise with instant elasticity, secure data sharing, and per-second pricing.

Because traditional on-premises and cloud solutions struggle at this, Snowflake developed a new product with a built-for-the-cloud architecture that combines the power of data warehousing, flexibility of big data platforms, and elasticity of the cloud at a fraction of the cost of traditional solutions.

Snowflake Computing is an APN Advanced Technology Partner with the AWS Data & Analytics Competency.

Learn more about Snowflake with AWS PrivateLink >>

Vehicle Information Services (VIS) from CDL

CDL Vehicle Information Services (CDL VIS) is the leading UK provider of reg and DVLA vehicle lookup services. It is best known for the popular consumer service MyCarCheck.com, which provides accurate reg lookup information of vehicle history for consumers and B2B customers via web and app services.

One in four cars have a hidden history. Vehicle checks (also known as car reg checks or vehicle check reports) can reveal details about a car’s background the seller may not know about, or that they do not want to tell you.

CDL VIS carries out over two million checks per day for B2B partners, including CompareTheMarket, GoCompare, Moneysupermarket, RAC Business, Swiftcover, Swinton and Tesco Bank.

CDL is an APN Select Technology Partner.

Learn more about Vehicle Information Services >>

See More from AWS PrivateLink Partners

AWS PrivateLink enables customers to simplify network architecture, lower costs, and accelerate migration to the AWS Cloud. It does so by enhancing the security and privacy of workloads by connecting VPCs to services offered by third-party companies via the AWS private network, allowing customers to avoid exposing their data to the public internet.

AWS PrivateLink integrations from APN Partners have been reviewed and validated by AWS Partner Solution Architects, ensuring they follow best practices and offer generally available support for the service.

To see more of our featured SaaS products, visit the AWS PrivateLink Partners page >>

from AWS Partner Network (APN) Blog

How Machine Learning on AWS Drives the Preventive Maintenance of Wind Turbines

How Machine Learning on AWS Drives the Preventive Maintenance of Wind Turbines

By Duane Osburn, IoT Department Manager at TensorIoT

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Our consumption of electricity is at the heart of the technological evolution occurring right now.

All of the devices we currently use—from cars and laptops to cutting-edge medical equipment—need electricity to run. Each new addition, each new device, puts an even greater demand on our need for electricity.

To set some context, there are two classifications of energy: renewable and non-renewable. Non-renewable energy comes in the form of oil, gas, and nuclear, whereas renewable energy is more closely associated with wind and solar.

As climate change has become increasingly more important to the citizens of the world, there has been a shift in desire from non-renewable to renewable sources of energy. This shift is changing the energy market in unprecedented ways.

The main challenge renewables face is related to the expensive maintenance of energy equipment. Focusing on the wind energy production line specifically, Sentient Science teamed up with TensorIoT and Amazon Web Services (AWS) to develop ColdStart, a machine learning-based solution that reduces the cost of wind farm maintenance by helping to predict turbine failure.

In this post, I will explore how we used machine learning along with publicly accessible data to help Sentient Science predict turbine maintenance, allowing them to continue delivering a constant and steady flow of electricity to the power grid.

Since 2001, Sentient Science has been devoted to extending the remaining useful life of fielded assets, such as wind turbines, and optimizing new product design and testing.

TensorIoT is an AWS Partner Network (APN) Advanced Consulting Partner with AWS Competencies in Internet of Things (IoT) and Machine Learning (ML), and AWS Service Delivery designations for AWS IoT Core and AWS IoT Greengrass.

Wind Turbines Are Complex Power Machines

Wind turbines are the leading source of renewable energy. Many countries are investing in wind-powered machines, but the maintenance of turbines that needs to happen frequently is both expensive and complex.

When a turbine is down due to any kind of damage, it is no longer able to supply power to the grid. This has impacts for the rest of the power grid, which needs to readjust for the drop in expected power levels caused by the troubled turbine.

As a result of this impact to the power grid, reducing the downtime of a turbine is extremely important. Predicting when a turbine failure will occur can help ensure preventive maintenance takes place. This maintenance reduces the time the turbine is out of service, and prevents a complete turbine failure that would be extremely expense to repair.

Through the combination of machine learning, public datasets, and incoming telemetry data, Sentient Science and TensorIoT developed the ColdStart solution to provide customers the ability to forecast failures of specific turbines, thus ensuring repairs can be done proactively.

Understanding the Flow of Wind Itself

TensorIoT-Sentient Science-1The nature of the problem faced in maintaining wind turbines lies in understanding the flow of wind itself.

In a perfect setting, wind turbines are positioned perpendicular to the wind, which increases their efficiency and reduces damage. However, wind is a fluid and flows in a very unpredictable pattern that changes constantly. Wind cannot be relied upon to flow in one direction, which makes the placement of turbines critical to their ultimate success.

Much like predicting how ink will disperse in a glass of water, predicting the flow of wind is nearly impossible. Because there are many factors that play into the wind’s behavior (terrain, temperature, pressure), ideal conditions are almost never met.

Often, wind hits a turbine as a turbulent fluid, and the erratic behavior of wind causes incremental damage over time. Slight variation in wind speeds can cause helices to have uneven force applied to each blade, causing even more damage.

Because of the complexity of the problem and the random way that wind flows across the turbine, a statistical model would fail to predict any type of failure. ColdStart, however, uses machine learning to account for each individual attribute and predict turbine failures based on what the algorithms have learned through data extrapolation and investigation.

Data Storage, Transformation, and Analysis

Every ML project needs to have a reliable place to store the large amounts of data the project will consume.

ColdStart needed a storage medium that was scalable, secure, and easily accessible. We leveraged Amazon Simple Storage Service (Amazon S3) to store the project data and made use of the AWS Command Line Interface (CLI) for the quick and easy transfer of data between different sources.

Next, it was important to determine the different file formats and file types for the data. We found that several files needed to be extracted using software, which could be challenging without the right interface. Amazon Elastic Compute Cloud (Amazon EC2) allowed us to set up an environment and install packages that allowed for the extraction and transformation of the data used in the ML model.

Meteorological data files (.hdf) are usually massive in size, and importing them from Amazon S3 using CLI solves the challenge of uploading and downloading on an instance. This helped us analyze the data and formulate a method to get meaningful data features used for training.

As for the other kinds of files, we used a combination of the Amazon Deep Learning AMI and Amazon SageMaker to gain a better understanding of the data. In both instances, we used Jupyter Notebooks to analyze the data. Jupyter is in open-source web application that allows users to analyze and visualize data.

TensorIoT-Sentient Science-2.1


Figure 1 – High-level architecture of the machine learning platform.

Our approach of using Amazon Deep Learning AMI, Amazon SageMaker, and Jupyter notebooks accomplished two major issues:

  • Data visualization. When dealing with a serverless environment, it can be exhausting to run code iteratively because it takes a long time to produce graphs and make modifications to the code. By using Jupyter notebooks, however, we avoid these long waiting periods.
  • Communicating ideas with experts. In a data science project, it’s important to communicate with experts to get a better grasp of the data and interpret any double counting of data.

There were three main libraries used for the exploration process: Numpy, Pandas, and Matplotlib. These libraries, integrated with the Jupyter environment, made exploration easy.

Numpy was used for matrix manipulation, while Pandas was used for data frame manipulations, and Matplotlib was our preferred plotting tool. Transforming data comprised of two main steps: performing feature extraction/correlation, and analyzing features.

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Figure 2 – Architecture and components inside Amazon SageMaker.

Finding correlated features was challenging because of the multitude of features available. When looking at our documentation and metadata, we determined what features were redundant and what features were needed.

For example, some features could be combined into one bigger feature (think area vs. using width/height). In other situations, knowledge of certain attributes (such as efficiency of conversion) were created using known mathematical formulas, reducing the number of features to be used.

While analyzing metadata provides a lot of insight about the relationship between features, it’s often not enough. Metadata relies heavily on documentation and known relationships. In many cases, features that do not seem related could be related to one another. To discover these intrinsic relationships, we performed analysis on the data itself.

Each individual attribute can be looked at as a jigsaw piece in a large puzzle canvas. Although plenty, each attribute has a specific role in getting the best model. To make the most of each attribute, we needed to have a lot of conversations with subject matter experts.

By using creative and novel ideas, a lot of the different transformations that were used have been successfully implemented to transform the data for training purposes.

Creating the Machine Learning Model

Now that we had the cleaned and transformed data, it was time to look at training ML models. Amazon SageMaker provides comprehensive configuration setup for both pre-built algorithms and custom-made algorithms. This allows data scientists to focus directly on the model’s output rather than doing a step-by-step training process.

TensorIoT-Sentient Science-4

Figure 3 – Machine learning data visualization output.

Choosing what model to use is the most challenging aspect for the ML team. For our project, this was done through constant testing and iteration.

When a new ML model was created, there were three steps we needed to answer:

  • What performance metric should we use?
  • Does this model meet business objectives?
  • How can we create a better model?

Instead of diving into more complex models, our team decided to start with the easiest models to understand. By successively adding more layers of complexity, it was easier to understand what other attributes were needed to make the model more accurate.

In many cases, it was not enough to simply combine two attributes together. Rather, we needed to get information from another public dataset, analyze it, and integrate it into the data pipeline. The addition of another public dataset gave us another set of attributes to add to the model that we were able to use to refine the model we currently had and increase the accuracy exponentially.

The other public dataset we added was information about the physical location of the turbine. This dataset had information such as elevation, geographical location, and azimuth, which refers to an angular measurement in a spherical coordinate system. When these data points were combined with the data we knew about the stresses and tolerances of the wind turbine, we were able to more accurately determine the forces that were being exerted on the turbine and would eventually lead to its failure.

We used that information to make a preventive maintenance forecast for the turbine. This forecast is used by Sentient Science customers to do maintenance on the wind turbines before the turbine experiences a failure and would be down for an extended downtime.

This process allows the wind turbines to operate at maximum efficiency with planned minimal downtime maintenance, which was the ultimate goal of the project.


TensorIoT-Sentient Science-5AWS pay-as-you-go solutions greatly reduced the initial and ongoing cost of the ColdStart project. Utilizing Amazon S3 and Amazon SageMaker ensured the handling of data was extremely easy, scalable, and secure, on top of a flexible environment.

Working with AWS services allowed us to go through model creation and multiple iterations of validation. AWS also simplified our collaboration with Sentient Science, which was essential to the data science effort.

After the completion of the project, Sentient Science said the ColdStart offering enables their sales team to approach and engage with wind energy customers at 10X scale and is projected to shorten the sale cycle by 50 percent.

The IoT and machine learning infrastructure put in place to support ColdStart has formed the backbone for Sentient Science Data Ingestion Pipeline and Analytics Runtime, which supports the company’s DigitalClone platform.

In the span of a three-month engagement with AWS and TensorIoT, Sentient Science has laid a technology foundation that would take similar-sized companies 1-2 years to build.

The content and opinions in this blog are those of the third party author and AWS is not responsible for the content or accuracy of this post.


AWS Competency Partners: The Next Smart

TensorIoT is an AWS Competency Partner, and if you want to be successful in today’s complex IT environment and remain that way tomorrow and into the future, teaming up with an AWS Competency Partner is The Next Smart.

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TensorIoT is an AWS Competency Partner. They were founded on the instinct that the majority of compute is moving to the edge and all things are becoming smarter.

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*To review an APN Partner, you must be an AWS customer that has worked with them directly on a project.

from AWS Partner Network (APN) Blog

How to Manage Your Customer Satisfaction (CSAT) Data in APN Partner Central

How to Manage Your Customer Satisfaction (CSAT) Data in APN Partner Central

By Ian Kirkwood, APN CSAT Program Manager at AWS

AWS Partner NetworkOn April 1, 2019, the AWS Partner Network (APN) announced updates to the overall APN program. This included updated benefits for APN Partners, such as prescriptive funding based on your current tier and program attainment, and new APN tier requirements.

The APN Customer Satisfaction (CSAT) Program is one of the new requirements we added for 2019.

In this post, I will explain what’s new with the APN CSAT program, how to access your unique customer review form URL, and how to see your CSAT data available in APN Partner Central.

The APN CSAT program helps businesses gather feedback and understand the impacts they’ve had on Amazon Web Services (AWS) customers.

The goal of the APN CSAT program is for APN Partners to demonstrate ongoing customer success to AWS. By capturing the voice of your end customers, we can ensure APN Partners continue to meet and exceed the high quality bar promised by the AWS Partner Network.

How it Works

The APN CSAT program asks AWS customers how likely they are to recommend an APN Partner on a scale of 0-10. By maximizing the number of satisfied customers and decreasing the overall amount of dissatisfied customers, you can increase customer retention and grow your business.

The program has undergone a complete overhaul in preparation for being added to the new APN tier requirements in 2019. Updates include CSAT count requirements and an automated way of surfacing both count and data from customers. At this time, we are not sharing or tracking aggregate scores with APN Partners, as our requirements are only based around response count.

All members of the AWS Partner Network are now eligible to receive CSAT data, and have been provided a unique customer review form URL that you can find in your APN Partner Central account.

To learn more, please see our CSAT Overview Guide >>

New APN CSAT Tier Requirements

We are now requiring APN Partners to have a specific number of customers submit responses via the “Rate this Partner” function within your APN Partner Solutions Finder (PSF) listing. This creates a direct line of communication between AWS and customers, who can share more information about their experiences working with APN Partners.

The table below outlines current CSAT tier requirements for APN Partners.

APN CSAT Updates-1

All APN Partners must acquire the responses within the trailing 12 months of their APN membership renewal date. APN Partners can track progress towards these requirements on the Partner Scorecard in APN Partner Central.

Accessing Your APN CSAT Data

Beginning April 1, 2019, AWS began sharing limited CSAT data with partners via APN Partner Central. You can access the data by following these simple steps:

APN CSAT Updates-2

  • Look at the Customer Satisfaction Responses to see your overall count.

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  • Scroll down to the Customer Reviews object to see your approved CSAT data.

The final question on the APN customer review form asks all users to proactively consent to sharing their submitted response with the concerning APN Partner.

If a customer opts in to sharing the response, you will be able to see the customer’s name, email, company, and open response comment. Today, most responses come in without the customer opt in, so don’t be alarmed if you have many responses in the count section but no additional details down below.

Best Practices for Managing CSAT Counts

Customer satisfaction data is a powerful tool that can change your business, but it requires a commitment to getting more feedback and reviewing your scores regularly.

Here are some best practices for capturing CSAT data:

  • Create a redirect link to the customer review form URL based on your web domain.
  • Add the customer review form URL to your website.
  • Continually ask customers for feedback two weeks to two months after a project has been completed.
  • Request responses from multiple individuals in the same organization that has worked with you.
  • Ask the same people multiple times throughout the year to provide responses so you can build a continuous feedback loop with customers.
  • Offer an incentive to customers for completing a customer review and opting in to share their information

Learn more about APN CSAT best practices >>

Next Steps

In short, APN Customer Satisfaction (CSAT) data provides organizations with:

  • A system to evaluate, monitor, and improve customer loyalty and satisfaction.
  • Deeper understanding of how AWS customers view your business and the reasons why.
  • Opportunities to repair customer relationships after a negative experience.

To learn more, please see our CSAT Overview Guide >>

from AWS Partner Network (APN) Blog