The consumerization of SaaS has resulted in a massive handling of PII (personally identifiable information) over recent years. The security and protection of said PII has therefore become central to the foundation of a quality SaaS product, and Courier is no different. In a world where there seems to be a new data breach every time we look, users continuously demand transparency into how their data will be handled.

Notifications—such as emails, SMS, or push notifications from an app—are a big part of daily life. Whether for work, fun, banking, or just to chat, mobile notifications tell us what we need to attend to and when. While some users like getting notifications so that they don’t miss out, others turn off most notification channels for the sake of peace. But if it’s your application, what can you do to make sure that you’re communicating effectively with your users?

Utilized by countless organizations, approval workflows arrange the hierarchy of teams and the sequence of tasks for the ultimate goal of improving collaboration and efficiency. In my experience as a software engineer, approval workflows are vital for peer code reviews, but that’s not the only use case. In this article, we’ll explore the difference between manual and automated approval workflows and what you’ll need to know if you decide to automate your workflow.

Amazon DynamoDB is a fully managed NoSQL database service built for scalability and high performance. It’s one of the most popular databases used at SaaS companies, including Courier. We selected DynamoDB for the same reasons as everyone else: autoscaling, low cost, zero down time. However, at scale, DynamoDB can present serious performance issues.