Here we are: Microservices, Container, Cloud … and lots of data to deal with. Usually that’s where the real trouble starts. Many developers still base their designs on the concept of perfectly consistent ACID transactions, no anomalies or other inconsistencies around. But reality is different: Perfect consistency does not exist and many real-world use cases require much weaker consistency models in order to satisfy the scalability or robustness requirements. So, what are our options and what is the price we need to pay? Do we need to accept potentially losing data in order to get higher availability? How much can I scale without compromising consistency?
In this session we will answer this and many more questions. We will also discuss how to pick the right data store (not only) with respect to consistency. Finally, we will have a peek into latest research pushing the borders of the current state-of-art.