Tag: SaaS on AWS

With Amazon Keyspaces, AWS has enabled SaaS providers to run their Apache Cassandra workloads using a fully managed, serverless offering. This option allows you to leverage the strengths of Cassandra while getting all of the scale, cost, reliability, and operational efficiency that comes with a managed model. Learn how Amazon Keyspaces can be used to store data in a multi-tenant architecture and review common models for partitioning each tenant’s data.

Many SaaS applications boast of microservices as a means to divide a monolithic architecture into easily manageable solutions. Sometimes these microservices have their own databases. To maintain data consistency across the system, you need to implement a data synchronization system between source and target data persistence layers. Learn how Trantor has developed a solution using Amazon AppFlow to easily synchronize the data between Salesforce and Amazon RDS for PostgreSQL in near real-time.

As a SaaS provider, it’s essential to have a clear picture of how tenants are exercising your system. Being able to model the functional and operational profile of tenants and tenant tiers is critical to evolving the business and technical strategies of a SaaS organization. Learn about the role metrics play within a SaaS-based application, and dive deep into a solution that provides all of the infrastructure that will support the ingestion, aggregation, and analysis of SaaS metric data.

As part of adopting a multi-tenant SaaS model, a key challenge is how to provide strong tenant isolation in a cost effective and scalable manner. Being able to effectively isolate your tenants is an important part of a multi-tenant system. Learn how dynamic policy generation gets applied as part of the overall isolation story of your SaaS solution, and follow along with AWS reference implementation to demonstrate how to use dynamically generated policies in code.

We are excited to highlight 129 AWS Partners that received new designations in December for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

From SaaS to ISVs, here’s a look at the most popular APN Blog posts in 2020. Our goal with this blog is to share timely and relevant news, technical solutions, partner success stories, and more from Amazon Web Services and the AWS Partner Network (APN) specifically. The APN is the global partner program for AWS and helps tens of thousands of organizations across the world build, market, and sell their AWS-based offerings.

Customers often need to rely on third-party solutions to extract and transform data from sources such as Slack and Zendesk. Some vendors, however, do not support all of the sources and rely on multiple products to perform ETL and persist data into Snowflake. This post details how Amazon AppFlow simplifies the data transfer process, and how customers can use AWS PrivateLink for transmitting data over AWS rather than via the public internet.

The AWS SaaS Factory team had the chance to work with Ridgeline, a privately funded fintech startup determined to modernize investment management software, and help build their purpose-built enterprise platform on AWS. We speak with Chris Petrunik, Director of Engineering at Ridgeline, to learn how their platform works and what advice they have for other businesses building SaaS solutions on AWS.

We hope you enjoyed all of the educational content and big announcements at AWS re:Invent 2020! If you missed anything or just want to recap, we have rounded up the most relevant launches, program updates, and educational content available for AWS Partners. This post showcases the new programs that AWS Partners can take advantage of today, including AWS ISV Accelerate, SaaS Boost, and several new AWS Competency designations.

Managing backups, archiving, and disaster recovery traditionally required piecing together multiple software solutions across physical locations and network topologies. Trying to balance these disparate systems can result in expensive solutions, operational inefficiencies, and fragmented data. Learn how Cohesity worked with the AWS SaaS Factory team to released Data Management as a Service (DMaaS) as a solution on AWS that will radically simplify data management.