  Private permissioned blockchains, such as Hyperledger Fabric, are widely
deployed across the industry to facilitate cross-organizational processes and
promise improved performance compared to their public counterparts. However,
the lack of empirical and theoretical results prevent precise prediction of the
real-world performance. We address this gap by conducting an in-depth
performance analysis of Hyperledger Fabric. The paper presents a detailed
compilation of various performance characteristics using an enhanced version of
the Distributed Ledger Performance Scan. Researchers and practitioners alike
can use the results as guidelines to better configure and implement their
blockchains and utilize the DLPS framework to conduct their measurements.
