AWS Partner Network (APN) Blog

Tag: APN Programs

AWS Machine Learning Competency_featured

Introducing the AWS Machine Learning Competency

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.

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Managing SaaS Identity Through Custom Attributes and Amazon Cognito

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.

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SaaS Quick Start Highlights Identity and Isolation with Amazon Cognito

The SaaS Identity and Isolation with Amazon Cognito Quick Start equips developers with a full working solution that digs into the nuances of injecting tenant identity into SaaS applications. This Quick Start addresses a broad range of SaaS identity topics with specific emphasis on illustrating how tenant context is introduced via Amazon Cognito and used in combination with AWS Identity and Access Management (IAM) to scope access to tenant resources.

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Building Serverless SaaS Applications on AWS

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.

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Calculating Tenant Costs in SaaS Environments

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.

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APN Partner Webinar Series – APN Partners in DevOps, Security, Storage, and Big Data

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 […]

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AWS Microsoft Workloads Competency Now Includes Database Solutions and New APN Partners to Serve Customers Running Windows-based Workloads on AWS

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 migration goals, and to […]

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Testing SaaS Solutions on AWS

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.

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