The document discusses the UniProt SPARQL endpoint, which provides access to 20 billion biomedical data triples. It notes challenges in hosting large life science databases and standards-based federated querying. The endpoint uses Apache load balancing across two nodes each with 64 CPU cores and 256GB RAM. Loading rates of 500,000 triples/second are achieved. Usage peaks at 35 million queries per month from an estimated 300-2000 real users. Very large queries involving counting all IRIs can take hours. Template-based compilation and key-value approaches are proposed to optimize challenging queries. Public monitoring is also discussed.