The most prominent shift we've observed in the field of distributed systems over the last decade is probably the transition from traditional synchronous integrated systems to message-driven means. This change is a logical response to the high demands for scalability, elasticity, and resilience within today's software systems.

Regardless of how overwhelming the array of message-based options may seem, Cosmos DB serves as an incredible solid backbone for most of them, whether utilized as a transactional outbox or a fully-fledged event store in the context of event-sourcing. By diving deeper into real-world experiences, we will discover the mechanics of how Cosmos DB can guarantee nearly infinite scalability if you follow a few basic principles and patterns to efficiently model your data.

While Cosmos DB should not be considered as another silver bullet, this talk will teach you why you should certainly keep it as a prominent tool in your toolkit when it comes to building event-driven systems at scale.

The most prominent shift we've observed in the field of distributed systems over the last decade is probably the transition from traditional synchronous integrated systems to message-driven means. This change is a logical response to the high demands for scalability, elasticity, and resilience within today's software systems. Regardless of how overwhelming the array of message-based options may seem, Azure Cosmos DB serves as an incredible solid backbone for most of them, whether utilized as a transactional outbox or a fully-fledged event store in the context of event-sourcing. By diving deeper into real-world experiences, we will discover the mechanics of how Azure Cosmos DB can guarantee nearly infinite scalability if you follow a few basic principles and patterns to efficiently model your data. While Azure Cosmos DB should not be considered as another silver bullet, this talk will teach you why you should certainly keep it as a prominent tool in your toolkit when it comes to building event-driven systems at scale.

On-boarding new developers and imposing programming patterns and guidelines can take a good amount of time from your team. Roslyn with its rich APIs is helping us to tackle these challenges at compile time. In this session we will investigate Compiler APIs from Roslyn and how they assist to create Semantic Analyzers and Code Fixers tailored for your team. With Semantic Analysis you can ensure the given program is semantically consistent with language definition, and with Semantic Analyzers you can extend it to best practices and coding patterns. Code Fixers provide suggestions for the already written code to be replaced with an alternative, this way your team's developers will have an extra tool in their toolbox for writing better code addressing their needs. In the session we will showcase how to save time on development and during code reviews through unifying the build on your machine and CI/CD pipelines.