Cloud native and serverless application platforms give teams encapsulation, flexibility, and reduced deployment dependencies. But the movement onto the cloud has so far trained us to accept that decomposing your application into multiple loosely coupled functions or services requires eventual consistency (due to event sourcing/buses, queues, durable execution, etc.)

Instead, we’d like to propose that transactions are a perfect fit for serverless, and how SREs can enable application developers to not (always) settle for eventual consistency. The closer your applications are to being developed like a monolith, but deployed as decoupled serverless components, the easier they are to develop, deploy, and scale!

To that end, we'll talk about how reliable, consistent distributed transactions enable your teams to develop serverless applications like a monolith, and why the CAP theorem has faded in relevance for modern applications.

Riley Scheid is a seasoned engineering leader and entrepreneur with extensive experience in building and scaling software products. Currently a Founding Engineer at Reboot, Riley has been driving innovation in the tech space since 2021. Previously, he co-founded Tracis, where he applied his software engineering expertise to deliver impactful solutions. As CTO and Lead Software Developer at Rooster Grin Media, Riley led teams to develop new business lines and integrated products into major practice management systems. His early career includes roles at Google, where he contributed as a Business Analyst for Chromecast and a Support Specialist for YouTube, optimizing operations and driving cost savings. With a passion for tech innovation and leadership, Riley continues to shape the future of software development.