AWS Partner Network (APN) Blog
At AWS, we believe distributed ledger technology (DLT) such as blockchain can help customers simplify transactions and conduct efficient, secure interactions with different parties around the globe. Fortunately, the large and growing APN blockchain community shares our passion for putting customers first and driving innovation. Together, we are setting out to discover how blockchain solutions on AWS can address customer pain points and enable new ways of doing business.
SEGGER is an APN Standard Technology Partner and provides solutions for secure communication as well as data and product security, meeting the needs of the rapidly evolving Internet of IoT market. In this post, you will see what your IoT devices really do when they connect to and use AWS IoT. With SEGGER’s analysis tools, we show how to track down and solve hard-to-find, timing-related issues and demonstrate how to visualize and analyze what happens in your firmware.
Coarse location tracking is a subset of location tracking where the approximate location of an asset (within a 20-mile radius) suffices the use-case requirements. Learn how you can use network-based location and AWS IoT to track coarse location of assets using deep integration between AWS IoT, AWS IoT Analytics, and Eseye’s AnyNet Secure SIM, a one-stop, global cellular connectivity solution. Eseye is an APN Advanced Technology Partner with the AWS IoT Competency.
If you’re an AWS customer and have worked with an APN Partner, reviewing your engagements provides AWS with key insights we use to monitor and improve the quality of APN Programs. AWS customers are encouraged to leave reviews on APN Partner engagements that have been launched for more than two (2) weeks. This gives your organization some time to adjust to the new solution or workload delivered by the APN Partner, resulting in a more detailed, thorough review.
We have expanded and updated our APN Partner Learning Paths to make it easier for you to find the right training for your role. APN Partners can choose from AWS Business Professional, AWS Technical Professional Path, or a new AWS Professional Services learning path. Each path highlights where to get started, and then directs you where to find and enroll in the relevant training courses and AWS Certification to achieve your learning objectives.
We are excited to release a major update to the SAP HANA on AWS Quick Start that supports Multi-AZ, single-node configurations with high availability. The SAP HANA on AWS Quick Start helps you deploy fully functional SAP HANA systems on the AWS Cloud, following best practices from AWS and SAP. The Multi-AZ option uses two Availability Zones for the SAP HANA environment on AWS and provisions two SAP HANA servers—primary and secondary—in separate, private subnets and configures them for high availability.
We strongly encourage APN Partners to register for AWS Training and Certification through APN Partner Central so those achievements count towards your APN tier requirements. By registering through APN Partner Central, your organization receives credit toward APN tier eligibility and compliance requirements. Employees should make sure all registrations are made using their corporate email address. To register, log in to APN Partner Central and access the Training portal via the link at the top of the home page.
We are excited to introduce the APN Customer Engagements (ACE) Program to help APN Partners drive successful customer engagements on AWS. While our APN Opportunity Management Program has been available to APN Partners since September of 2017, the new ACE Program makes Standard-tier and above APN Partners eligible to receive engagements from AWS. We provide APN Partners with resources, tools, sales, and technical support to help drive successful engagements with AWS customers.
This new AWS Quick Start deploys Jupiter on AWS in about one hour. Jupiter is Cognizant’s continuous data testing accelerator and a component of Cognizant’s Adaptive Data Foundation offering. Jupiter enables data test automation and quality engineering at scale by aligning to a DevOps delivery mode. The Jupiter on AWS Quick Start automates the design, setup, and configuration of hardware and software to implement continuous data testing in less time than with traditional approaches.
With the introduction of Amazon Aurora Serverless (currently in preview), SaaS providers are now equipped with a model to bring the scale and cost efficiency of serverless computing directly to storage partitioning models of SaaS solutions. We take a closer look at how Aurora Serverless works and how it influences your approach to storage partitioning in SaaS environments. The goal here is to highlight the implications of the serverless storage model, identifying key areas that will be of particular interest to SaaS developers.