Redis offers several approaches for creating content filters, including using Redis Sets, SISMEMBER, BF.MEXISTS, and Bloom filters. The choice of approach depends on the desired trade-off between response time and storage efficiency. In this case, a Bloom filter was initially thought to be the fastest solution, but it was found that plain old SISMEMBER ran faster in all tests. However, Bloom filters offer significant storage efficiency advantages, making them suitable for large-scale applications where storage is a concern. The results of benchmarking tests showed that while response times were similar between Bloom filters and Redis Sets, Bloom filters were much smaller in terms of memory usage, which can be a critical factor in high-traffic applications.