Preventing Data Loss
Explore the challenges of preventing data loss in distributed systems, especially within scalable event-driven microservices. Understand the differences between ACID and eventual consistency, transient failure impacts, and how to design systems that balance consistency with resilience in cloud environments.
We'll cover the following...
Ensuring the complete integrity of data for most monolithic applications is a static and manageable concept. Most underlying data stores are atomic, consistent, isolated, and durable (ACID). Once data has been received in the form of a request, a single compiled application will process it through to completion. Threats to the integrity of this operation are few and, more importantly, highly observable and consistent.
For example, a failure in the data store may consistently fail the ...