Category: SaaS

You can manage agents in a multi-tenant SaaS environment using AWS IoT Core. Review a solution that offers a modular and secure approach to register and manage agents. It relies on AWS managed services to offload the heavy lifting of implementing and maintaining those mechanisms, and provides scalability, elasticity, and availability. Using AWS IoT Core for agent management provides various capabilities for managing, securing, and analyzing usage and sent data from the registered agents.

One of the fundamental changes in adopting a SaaS model is moving from a product delivery to a service-oriented mindset. SaaS provides a 24×7 digital channel between you and the end customers. This post looks at how service level agreements (SLAs) aren’t just a measure of availability, but a tool that helps measure if the service is meeting the requirements of the customer-independent of the underlying architecture.

Modern applications often rely on queuing for service integrations, batch processing, or as part of workflow orchestration. Queues are key to adding scale and resiliency to your environment. This is especially true in software-as-a-service (SaaS) environments. Explore some of the common scenarios used when building SaaS solutions with Amazon Simple Queue Service (SQS), and learn how data isolation, scalability, and compliance requirements might influence the queuing model you select.

Tenant isolation is fundamental to the design and development of SaaS systems, enabling providers to reassure customers their resources cannot be accessed by other tenants. While the importance of isolation is well understood, the strategies for realizing a robust isolation model vary significantly. Learn how our new SaaS Tenant Isolation Strategies whitepaper assembles a collection of best practices and considerations that often shape your approach to implementing isolation in a SaaS environment.

Many SaaS organizations leverage AWS Identity and Access Management (IAM) to define a series of policies and roles that can be used to ensure tenants are not allowed to cross tenant boundaries when accessing resources. To make this work, you have to create separate policies for each tenant which can create an explosion of tenant policies that push the account limits of IAM. Learn how dynamic policy generation creates a more scalable and manageable isolation experience.

With the support of AWS SaaS Factory, CloudZero launched a new capability for companies with investments in containerized workloads orchestrated with Kubernetes in the AWS environment. With this new capability, software providers can understand the exact container costs breakdown and how they roll up to products, features, and teams along with their other AWS services. Hear from Tim Buntel, Chief Product Officer at CloudZero, who shares some insights about their recent launch.

SaaS products frequently use agents to gather data, execute actions, communicate with remote components, and run other product-related tasks in remote environments. These agents can be deployed in multiple forms and for multiple purposes. If you manage multi-tenant SaaS environments and use agents, you face some unique challenges. Implementing such a solution requires adequate design. This post focuses on the deployment and management of agents in a SaaS environment.

As you design, develop, and build SaaS solutions on AWS, you must think about how you want to partition the data that belongs to each of your customers (tenants). In this post, experts from AWS SaaS Factory focus on what it means to implement the pooled model with Amazon DynamoDB. We’ll outline basic strategies to partition and isolate data by tenant, and illustrate common techniques you can use to avoid the “hot” partition problem that’s often associated with partitioning tenant data in a pooled model.

The AWS SaaS Factory team recently worked with Automatic Data Processing (ADP) to help build its next gen HCM solution as a SaaS offering on AWS. ADP leveraged AWS services for its next gen human capital management (HCM) and payroll platform that helps organizations create highly personalized work and pay experiences. ADP chose AWS as the cloud platform for their HCM system for its security, capability, and innovation.

As the old saying goes, “You never get a second chance to make a first impression.” Customer trust is hard-earned and easily lost. Properly architecting a scalable and secure SaaS-based product is just as important as feature development and sales. No one wants to fail on Day 1— you worked too hard to get there. Get a comprehensive introduction to the common ways in which customers consume cloud-based SaaS models, and explore the different ways in which ISVs sell their software products to customers.