Category: SaaS

With support from AWS SaaS Factory, CHESA built and launched Acorn Cloud as a SaaS solution on AWS, allowing small and mid-size creative teams to create, edit, and deliver video content, while lowering the barrier of entry for access to collaboration tools as fully managed services. Hear from Lance Hukill, Chief Commercial Officer at CHESA, and about the value the new Acorn Cloud SaaS platform brings to customers.

Dalet is an AWS Partner and leading technology and service provider for media-rich organizations. We recently spoke with Mathieu Zarouk, Director of Product Marketing at Dalet, to learn more about the new Dalet Flex for teams SaaS solution and the value it brings to customers. We asked Mathieu to share insights from Dalet’s transition to SaaS that can help other software providers planning to adopt this delivery model.

To help organizations defend themselves against cyber threats, Anomali, a leader in intelligence-driven cybersecurity solutions, recently launched its cloud-native extended detection and response (XDR) solution, The Anomali Platform. The AWS SaaS Factory team spoke with Mark Alba, Chief Product Officer at Anomali, to learn more about Anomali Cloud-Native XDR SaaS, the value its new solution brings to customers, and the key lessons learned from the journey to SaaS on AWS.

Many SaaS applications store multi-tenant data with Amazon S3. Learn about the various strategies that can be applied when partitioning tenant data with S3, and explore the considerations that may influence how and when you apply these mechanisms in your own solution. See how this influences tenant isolation and the accessibility of S3 objects, and dive deep on tenant activity and cost tracking, lifecycle management for objects, and additional bucket security configurations.

With the help of AWS SaaS Factory, Varjo built and launched the new Varjo Reality Cloud platform as a software-as-a-service (SaaS) solution on Amazon Web Services (AWS), marking progress toward the company’s vision of bringing real-life collaboration into the metaverse. In this post, Aleksander Nyquist Langmyhr, Global Lead of Go-To-Market Strategy at Varjo, shares insights from Varjo’s transition to SaaS that can help other organizations planning to adopt this delivery model.

Looking for qualified support for a parent is a hard task and often a leap in the dark. Parentsmile is a unique reservation platform that integrates healthcare, training, educational, and all-encompassing psychophysical well-being services. This post demonstrates how ZERO12 built Parentsmile’s SaaS platform; exploring the main infrastructure with Amazon Elastic Container Service (Amazon ECS), the continuous integration and continuous delivery (CI/CD) process, and the asynchronous workflow for payments and reminders.

Many SaaS providers are leveraging Amazon EKS to build their solutions on AWS, as EKS provides builders with a range of different constructs that can be used to implement multi-tenant strategies. In this post, explore an architecture based on EKS that demonstrates a siloed SaaS deployment model, using Istio Service Mesh to manage request authentication and per-tenant routing. Istio is an open-source service mesh that many SaaS providers use for deploying their multi-tenant applications.

With the support of AWS SaaS Factory, GA Telesis launched the FraudBlock SaaS solution, a fraud protect API service for companies to protect their organizations from BEC/EAC scams and help securely perform B2B transactions. The SaaS Factory team spoke with Darryl Maraj, Head of Technology at DIG and CTO at Blockrails, to learn more about Blockrails, the value its new FraudBlock solution brings to customers, and the key lessons learned building a SaaS solution on AWS.

While SaaS remains a huge growth driver and provides benefits to end customers and software providers, the transition to this model can be challenging as technology and operations take on new responsibilities in an “as-a-service” environment. To be successful, organizations need to rethink every dimension of how they build, sell, manage, support, and operate their solution. Learn how to accelerate your SaaS journey with help from AWS SaaS Competency Partners.

Organizations hosting customer-specific machine learning models on AWS have unique isolation and performance requirements and require a solution that provides a scalable, high-performance, and feature-rich ML platform. Learn how Amazon SageMaker Pipelines helps you to pre-process data, build, train, tune, and register ML models in SaaS applications. We’ll focus on best practices for building tenant-specific ML models with particular focus on tenant isolation and cost attribution.