In order to optimize the pinning service, a more microservices-oriented approach is recommended. This involves implementing kernel process boundaries between different stages to enhance efficiency.

For instance, instead of relying on Kubo for all operations, consider customizing host nodes with specific functionalities. These nodes can be tailored to run specialized tasks such as a bitswap server and an IPNI indexer to improve content accessibility.

By segregating processes, one can have a dedicated bitswap client process that can be activated or deactivated as needed. This setup allows for seamless streaming of .car archives from the downloader to the host nodes.

To draw a comparison with Kubo, envision having nodes dedicated solely to file hosting, and separate transient nodes handling downloads. However, utilizing Kubo for this purpose may introduce unnecessary overhead due to the execution of extraneous code.

One of the primary challenges encountered during file downloads is related to memory management, particularly when dealing with a large number of peers. The bitswap client tends to accumulate extensive maps tracking block availability across numerous peers and wantlist entries, leading to memory overload.

To address this issue, it is advisable to deploy multiple libp2p hosts specialized for distinct functions. For instance, one host exclusively handles bitswap connections, while another is dedicated to DHT operations.

By segregating these functions, the DHT host can establish a higher number of connections without significantly impacting performance. This approach prevents the bitswap client from being overwhelmed by excessive connections, thereby reducing the likelihood of crashes.

The implementation of a split host architecture, as demonstrated by Rainbow, ensures that the DHT can connect to a large number of peers without affecting the bitswap functionality. This segregation of tasks paves the way for more efficient resource utilization and improved system stability. In the future, the goal is to minimize the need for constant communication with all peers, thereby enhancing overall system performance.