Tag: APN Programs

The AWS Competency Program admitted seven new APN Partners in December—spanning workload, solution, and industry designations. The AWS Competency Program provides customers with highlighted APN Partners that have demonstrated technical proficiency through an AWS Technical Validation and proven customer success in specialized solution areas. Please join us in welcoming our newest AWS Competency Partners.

The APN Badge Manager is a tool that allows Select tier and above APN Partners to access, manage, and create custom badges to showcase the APN Program designations and AWS Competencies that your company holds. With APN Badge Manager, APN Partners can build customized badges to suit different communications goals. The tool will dynamically create an APN Badge with up to five program components. To get started, login to APN Partner Central and select the Badge Manager link on the left menu.

We are excited to introduce the AWS Networking Competency—a new program for APN Technology Partners that launched at the Global Partner Summit at AWS re:Invent 2017. AWS Networking Competency Partners provide network solutions and assist customers adopt, develop, and deploy applications on AWS. They offer a set of specialized solutions that auto-scale, are aligned with cloud design principles, and make it easier to use networking features in a Virtual Private Cloud (VPC).

Artificial intelligence (AI) and machine learning (ML) are being applied to every imaginable use case—protecting users from fraud, improving customer experience, helping people discover entertainment easier, and predicting when maintenance is needed in industrial equipment. To help take this growing market forward, we are proud to launch the AWS Machine Learning Competency, showcasing industry-leading APN Partners that have deep expertise and proven customer success in AI and ML.

Identity is a fundamental design decision that software as a service (SaaS) architects must consider when developing a multi-tenant system. Developers who are building SaaS applications must be able to identify a user, the tenant associated with the user, the user’s permissions, and the relationship a tenant has with the provider, such as usage plan or tier. In this post for SaaS Technology Partners, I will explore how to architect a multi-tenant system and identify tenant context and role using Amazon Cognito.

SaaS solutions often present architects with a diverse mix of scaling and optimization requirements. With SaaS, your application’s architecture must accommodate a continually shifting landscape of customers and load profiles. The number of customers in the system and their usage patterns can change dramatically on a daily—or even hourly—basis. These dynamics make it challenging for SaaS architects to identify a model that can efficiently anticipate and respond to these variations.

In traditional single-tenant environments, calculating and aggregating infrastructure costs is a pretty straightforward exercise. Typically, each application or customer has its own collection of dedicated resources and tallying the costs is simply a matter of categorizing and summing those costs. However, in multi-tenant SaaS environments, this becomes a much more challenging problem. With SaaS, tenants often share some or all of a system’s infrastructure resources.

Learn how businesses take advantage of AWS technologies to solve business problems in this series of upcoming webinars. They feature a broad selection of live, online presentations at varying technical levels that cover a wide range of topics, including Migration, Storage, Security, Big Data, and DevOps . Each webinar is hosted by an AWS Solutions […]

The AWS Partner Network (APN) is excited to announce updates to the AWS Microsoft Workloads Competency, as well as introduce the latest wave of talented APN Partners with Microsoft Workloads Competency status! This Competency has been updated to provide our customers with an easy way of finding skilled APN Partners to match their Windows workload […]

The move to a SaaS delivery model is often motivated by a fundamental need for greater agility and customer responsiveness. SaaS providers often succeed and thrive based on their ability to rapidly release new features without compromising the stability of their solutions. Achieving this level of agility starts with a commitment to building a robust DevOps pipeline that includes a rich collection of automated tests.