Abstract In this chapter we take a look at the application of replication techniques for building scalable distributed systems. Unlike using replication for attaining dependability, replicating for scalability is generally characterized by higher replication degrees, and thus also weaker consistency. We discuss a number of cases illustrating that differentiation of replication strategies, for different levels of data granularity, is needed. This observation leads us to conclude that automated replication management is a key issue for future research if replication for scalability is to be successfully deployed. Building scalable distributed systems continues to be one of the more challenging tasks in systems design. There are three independent and equally important perspectives on scalability [20]: • Size scalability is formulated in terms of the growth of number of users or data,