Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Unanswered
Is the <https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac|docker-compose deployment> suitable for production? If not, is it be better to somehow use docker swarm instead? The advantage of docker swarm is that it can heal contain


Hi @<1541954607595393024:profile|BattyCrocodile47> , docker-compose deployment is used widely in production for ClearML and works perfectly 🙂 .
Regarding containers crashing, we've seen very little of that. Regardless, since ClearML clients (SDK/Agent) are very resilient and are designed to handle server unavailability and network issues (both periodic and even long term), combined with the fact the core ClearML server (i.e. the apiserver) is very quick to start up (usually a matter of several seconds) the result is a system that is very robust to container restarts 🙂

  
  
Posted one year ago
125 Views
0 Answers
one year ago
one year ago