- On-demand access to sumstats results through "return from"
functions named SumStats::request and Sumstats::request_key.
Both functions are tested in standalone and clustered modes.
- $name field has returned to SumStats which simplifies cluster
code and makes the on-demand access stuff possible.
- Clustered results can only be collected for 1 minute from their
time of creation now instead of time of last read.
- Thresholds use doubles instead of counts everywhere now.
- Calculation dependency resolution occurs at start up time now
instead of doing it at observation time which provide a minor
cpu performance improvement. A new plugin registration mechanism
was created to support this change.
- AppStats now has a minimal doc string and is broken into hook-based
plugins.
- AppStats and traceroute detection added to local.bro
- New, expanded API.
- Calculations moved into plugins.
- Scripts using measurement framework ported.
- Updated the script-land queue implementation to make it more generic.
-
- New script measures a couple of aspects of SMTP traffic.
- Existing metrics scripts had a small amount of work done
to make them work with changes to metrics framework.
- Since each host in a cluster has it's own view of the metrics
the only time the manager would get a chance for a global view
is the break_interval. This update improves that time. If a
worker crosses 10% of the full threshold, it will send it's
value to the manager which can then ask the rest of the cluster
for a global view. The manager then adds all of the values for
each workers metric indexes together and will do the notice
if it crosses the threshold so that it isn't dependent on
waiting for the break interval to hit. This functionality
works completely independently of the break_interval too. Logging
will happen as normal.
- Small update for SSH bruteforcer detection to match additions in
the metrics framework API.
- The hope is that this update is mostly invisible from anyone's
perspective. The only affect it should have on users is to better
the detection of metric values crossing thresholds on cluster
deployments.
