  The rapid growth of blockchain systems leads to increasing interest in
understanding and comparing blockchain performance at scale. In this paper, we
focus on analyzing the performance of Hyperledger Fabric v1.1 - one of the most
popular permissioned blockchain systems. Prior works have analyzed Hyperledger
Fabric v0.6 in depth, but newer versions of the system undergo significant
changes that warrant new analysis. Existing works on benchmarking the system
are limited in their scope: some consider only small networks, others consider
scalability of only parts of the system instead of the whole. We perform a
comprehensive performance analysis of Hyperledger Fabric v1.1 at scale. We
extend an existing benchmarking tool to conduct experiments over many servers
while scaling all important components of the system. Our results demonstrate
that Fabric v1.1's scalability bottlenecks lie in the communication overhead
between the execution and ordering phase. Furthermore, we show that scaling the
Kafka cluster that is used for the ordering phase does not affect the overall
throughput.
