Blockchain technology is a distributed ledger technology that allows for secure and transparent transactions. Hyperledger Fabric is an open source, permissioned blockchain framework that is designed for enterprise use. It is a modular framework that allows for plug-and-play components, which makes it adaptable to a wide range of use cases. One of the key factors in the successful implementation of Hyperledger Fabric is performance. The performance of a Hyperledger Fabric network can be affected by a number of factors, including the number of peers in the network, the transaction load, and the hardware configuration. This paper presents the results of a study that was conducted to investigate the impact of the number of peers on the performance of Hyperledger Fabric networks. The study used Caliper, a tool that is used to benchmark the performance of Hyperledger Fabric networks. The study found that the number of peers in a network can have a significant impact on performance. As the number of peers increases, the network becomes more decentralized and fault-tolerant. However, it also becomes more complex and requires more resources to operate. The study also found that the transaction load can have a significant impact on performance. As the transaction load increases, the network becomes more congested and the latency of transactions increases. This is because the network has to spend more time processing transactions and less time on other tasks, such as consensus. The results of this study can be used by organizations to help design and optimize their Hyperledger Fabric networks for optimal performance.