Sam Dengler

Enterprise-based serverless developers are often subject to constraints and compliance checks that can slow deployment and feedback loops. Shift-left practices can empower developers with tools that help test and validate code compliance prior to committing to repositories.

Many difficult problems in modern enterprise workloads can be solved with event-driven architectures. It can also be challenging to work with large amounts of data in different data stores and locations.

Sometimes, architects are unsure about which application integration approach is best for their use case or access pattern. Aside from APIs, options to choose from include messaging, streaming, and events.

Learn how to build serverless applications faster with less code using AWS Step Functions Express Workflows. In this chalk talk, learn how to use the visual designer for Step Functions Workflow Studio to quickly design serverless applications, reducing the amount of code written, tested, and maintained.

In this session we will discuss Amazon Managed Workflows for Apache Airflow (MWAA), how Apache Airflow (and specifically version 2.0) is implemented in the service, best practices for deployment and operations, and the Amazon MWAA team’s commitment to open source usage and contributions.

Event-Processing Workflows at Scale with AWS Step Functions In this session, learn how to leverage AWS Step Functions Express Workflows and AWS Lambda to build and run event-processing applications. We will explore real-world examples including IoT data ingestion, streaming data transformation, and mobile app backends.

Many customers choose to build event-driven application architectures, in which subscriber or target services automatically perform in response to events triggered by publisher or source services. This pattern can help development teams operate more independently so they can release new features faster and make their applications more scalable.