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Eoghan Glynn 
Ceilometer PTL 
OpenStack Telemetry 
Kilo Update 
1 
IRC: eglynn
To reliably collect measurements of the utilization of 
physical & virtual resources comprising deployed clouds, 
persist these data for subsequent retrieval & analysis, 
and trigger actions when defined criteria are met. 
2 
Our Mission ...
Priorities and themes for Kilo 
● Completion of Time Series Data as a Service 
(gnocchi) and migration of ceilometer 
● Provide the right kind of test coverage 
● More flexible role/tenant segregation 
● Contractualized service notifications 
● Deployment flexibility 
● Event processing improvements 
● Collaboration with Monasca 
3
Time Series Data as a Service … 
[recap] 
● Goal is to provide efficient metrics storage 
○ shorn of snapshot’d resource metadata (as previously 
maintained by ceilometer) 
○ eagerly pre-aggregated (contrast with on-demand) 
● Initial implementation in stackforge/gnocchi 
● Envisaged as multi-cycle effort over Juno & Kilo 
● Canonical analytics and storage engine provided 
via pandas and swift 
● Alternative storage drivers based on metrics-oriented 
DBs such as InfluxDB & OpenTSDB 
4
Time Series Data as a Service … 
[status] 
● Completed: 
○ core metrics and resources API 
○ pandas+swift storage driver 
○ policy-based aggregation/roll-up model 
○ API-based dispatch from the ceilometer collector 
○ keystone integration (auth & RBAC policies) 
● In-progress: 
○ storage drivers based on OpenTSDB and InfluxDB 
○ custom aggregation - moving average & Holt-Winters 
○ cross-entity aggregation 
○ optimized direct dispatch model from ceilometer 
5
Time Series Data as a Service … 
[planned for kilo] 
● Planned further work for Kilo: 
○ recasting ceilometer v2 query API over gnocchi 
semantics 
○ rebasing ceilometer alarm evaluation on the v3 metrics 
API 
○ migration of pre-existing metering datastores built up 
with classic ceilometer 
○ detailed profiling of performance benefit 
6
Parallel efforts 
● The right kind of testing 
○ in-tree functional tests 
○ declarative HTTP API 
○ Rally-based scenario tests 
● Richer configuration of tenant/role segregation 
○ previously all or nothing for admin versus non-admin 
○ adding support for fine-grained RBAC policies 
○ leveraging v3 keystone domains in the longer term 
● Deployment flexibility 
○ merged central and compute agent 
○ centralized storage of the pipeline configuration 
○ true declarative SNMP metric-gathering 
7
Parallel efforts 
● Contractualize service notifications 
○ essentially free-form dicts currently 
○ joint effort with the Stacktach project to schematize 
○ provide the stable basis for an API-like contract 
● Events pipeline 
○ split off events database 
○ coordination between scaled out notification agents 
● Collaboration with Monasca 
○ anomaly detection component 
8
Questions? 
Feel free to reach out anytime … 
project channel: #openstack-ceilometer 
eglynn @freenode (GMT timezone) 
weekly meeting 1500UTC on Thursday 
mailing list: openstack-dev@openstack.org 
9
Ceilometer Updates - Kilo Edition

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Ceilometer Updates - Kilo Edition

  • 1. Eoghan Glynn Ceilometer PTL OpenStack Telemetry Kilo Update 1 IRC: eglynn
  • 2. To reliably collect measurements of the utilization of physical & virtual resources comprising deployed clouds, persist these data for subsequent retrieval & analysis, and trigger actions when defined criteria are met. 2 Our Mission ...
  • 3. Priorities and themes for Kilo ● Completion of Time Series Data as a Service (gnocchi) and migration of ceilometer ● Provide the right kind of test coverage ● More flexible role/tenant segregation ● Contractualized service notifications ● Deployment flexibility ● Event processing improvements ● Collaboration with Monasca 3
  • 4. Time Series Data as a Service … [recap] ● Goal is to provide efficient metrics storage ○ shorn of snapshot’d resource metadata (as previously maintained by ceilometer) ○ eagerly pre-aggregated (contrast with on-demand) ● Initial implementation in stackforge/gnocchi ● Envisaged as multi-cycle effort over Juno & Kilo ● Canonical analytics and storage engine provided via pandas and swift ● Alternative storage drivers based on metrics-oriented DBs such as InfluxDB & OpenTSDB 4
  • 5. Time Series Data as a Service … [status] ● Completed: ○ core metrics and resources API ○ pandas+swift storage driver ○ policy-based aggregation/roll-up model ○ API-based dispatch from the ceilometer collector ○ keystone integration (auth & RBAC policies) ● In-progress: ○ storage drivers based on OpenTSDB and InfluxDB ○ custom aggregation - moving average & Holt-Winters ○ cross-entity aggregation ○ optimized direct dispatch model from ceilometer 5
  • 6. Time Series Data as a Service … [planned for kilo] ● Planned further work for Kilo: ○ recasting ceilometer v2 query API over gnocchi semantics ○ rebasing ceilometer alarm evaluation on the v3 metrics API ○ migration of pre-existing metering datastores built up with classic ceilometer ○ detailed profiling of performance benefit 6
  • 7. Parallel efforts ● The right kind of testing ○ in-tree functional tests ○ declarative HTTP API ○ Rally-based scenario tests ● Richer configuration of tenant/role segregation ○ previously all or nothing for admin versus non-admin ○ adding support for fine-grained RBAC policies ○ leveraging v3 keystone domains in the longer term ● Deployment flexibility ○ merged central and compute agent ○ centralized storage of the pipeline configuration ○ true declarative SNMP metric-gathering 7
  • 8. Parallel efforts ● Contractualize service notifications ○ essentially free-form dicts currently ○ joint effort with the Stacktach project to schematize ○ provide the stable basis for an API-like contract ● Events pipeline ○ split off events database ○ coordination between scaled out notification agents ● Collaboration with Monasca ○ anomaly detection component 8
  • 9. Questions? Feel free to reach out anytime … project channel: #openstack-ceilometer eglynn @freenode (GMT timezone) weekly meeting 1500UTC on Thursday mailing list: openstack-dev@openstack.org 9