Open flash1293 opened 2 years ago
cc @mtojek @ruflin Who could provide some input on this?
I would ping @ravikesarwani or @akshay-saraswat as they care about the product side of integrations.
Hi! We just realized that we haven't looked into this issue in a while. We're sorry! We're labeling this issue as Stale
to make it hit our filters and make sure we get back to it as soon as possible. In the meantime, it'd be extremely helpful if you could take a look at it as well and confirm its relevance. A simple comment with a nice emoji will be enough :+1
. Thank you for your contribution!
Pinging @elastic/fleet (Team:Fleet)
@lalit-satapathy It seems most of the things discussed above have been done / are in use? Should this issue be closed?
Hi! We just realized that we haven't looked into this issue in a while. We're sorry! We're labeling this issue as Stale
to make it hit our filters and make sure we get back to it as soon as possible. In the meantime, it'd be extremely helpful if you could take a look at it as well and confirm its relevance. A simple comment with a nice emoji will be enough :+1
. Thank you for your contribution!
time_series
indices in Elasticsearch (e.g. discussed here: https://github.com/elastic/ingest-dev/issues/1036) offer a bunch of advantages with regard to disk space usage, but there will also be a few new querying capabilities https://github.com/elastic/elasticsearch-adrs/blob/master/analytics/tsdb/tsdb-design.md#aggregation-apistime_series
agg to split individual series without the need to specify the dimension fields (as these are defined in the mapping)The Kibana VisEditors team is currently thinking about how to best support TSDB usage in visualizations. What are common cases of visualizations which are not built / built in a sub-optimal way right now due to limitations of the existing tools?
Right now the following is planned:
time_series
andsum_bucket
to do a proper rate calculation summed up for all series without user configuration for counter metric fieldsNote: These new features will only function for time_series data, so they won't show any results for indices with historical data indexed as regular data indices.