Our work centers on a programming style in which a system separates data movement from control-data exchange, streaming the former over hardware-implemented reliable channels, while using a new form of distributed shared memory to manage the latter. Protocol decisions and control actions are expressed as monotonic predicates over the control data guarding protocol actions. Provable invariants about the protocol are expressed as effectively-common knowledge, which can be derived from the monotonic predicates in effect during a particular membership epoch. The methodology enables a natural style of code that is easy to reason about, and it runs efficiently on modern hardware. We used this approach to create Derecho, an optimal Paxos-based data replication library that sets performance records, and we believe it is broadly applicable to the construction of reliable distributed systems on high-bandwidth networks.