Minimizing Data Loss
In this chapter, we will look at techniques for minimizing or eliminating data loss. Cloud-native development architectures bring an inherent risk of data loss through transient failures in separate services and/or connectivity between them. As such, we design applications for that failure, and event-driven architecture uses some key techniques to mitigate this risk of loss. We will explore paradigms, such as eventual consistency and guaranteed delivery, and learn how to contextually identify data that may be susceptible to loss, along with defining how much loss, if any, is acceptable.
In this chapter, we will cover the following key topics:
- Learn more about typical data consistency paradigms, such as immediate consistency and eventual consistency
- Learn how to identify and plan for potential data loss, including acceptable levels of loss and mitigation strategies
- For situations that require zero data loss, learn how to implement techniques that...
