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1. Prior performance benchmarking and assessment work
   1. Three of the performance areas highlighted previously have not yet been sufficiently tested
      1. total data size
      2. ingest rate
      3. LDP/SPARQL Update performance (per Hydra practice)
   2. Clustering
      1. Primary use case seems to be high availability
      2. What increased scale clustering affords is unclear, partly because we haven't yet fully probed how far a single instance scales (as a baseline)
   3. Would be good to know how performance (response time) changes:
      1. as a file size increases
      2. as # of files increases
      3. as # of resources increases
   4. We endeavor here to establish a process & baselines for the more isolated tests (1a in the agenda) so that we can make progress on "real-world"-type tests (1b in the agenda)