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PTL
Eoghan Glynn
Telemetry Program Update
OpenStack Telemetry
1
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 ...
The current state of play ...
3
Technical Committee Gap Analysis Coverage
● Viable sqlalchemy driver in the CI gate and for
small deployments / PoCs
● Extend Tempest integration test coverage based
on sqlalchemy and mongoDB drivers
● Enhance user- and operator-oriented
documentation for ceilometer
● Participate in the Grenade upgrade testing
harness
4
What’s coming up in Juno?
5
Two parallel efforts ...
6
Time Series Data as a Service
● Re-imagining ceilometer metering store shorn of
snapshot’d resource metadata
● Prototype implementation in the gnocchi project
on stackforge
● Canonical analytics and storage engine provided
via pandas and swift
● Alternative storage drivers based on metrics-
oriented DBs such as InfluxDB
● Will form the basis of a ceilometer v3 API
7
Incremental improvements
● Declarative metering via SNMP
○ mapping metric OIDs to meter names via configuration
● Events storage in HBase and MongoDB
○ support reconstructing the resource state timeline
● Elimination of the central agent SPoF
○ use the taskflow library for workload partitioning
● Consume IPMI sensor data from Ironic
○ ironic owns the credentials & polling cadence
● Meter networking services
○ LBaaS, FWaaS, VPNaaS provided by neutron
8
9

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Telemetry Updates - Juno Edition

  • 1. PTL Eoghan Glynn Telemetry Program Update OpenStack Telemetry 1
  • 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. The current state of play ... 3
  • 4. Technical Committee Gap Analysis Coverage ● Viable sqlalchemy driver in the CI gate and for small deployments / PoCs ● Extend Tempest integration test coverage based on sqlalchemy and mongoDB drivers ● Enhance user- and operator-oriented documentation for ceilometer ● Participate in the Grenade upgrade testing harness 4
  • 5. What’s coming up in Juno? 5
  • 7. Time Series Data as a Service ● Re-imagining ceilometer metering store shorn of snapshot’d resource metadata ● Prototype implementation in the gnocchi project on stackforge ● Canonical analytics and storage engine provided via pandas and swift ● Alternative storage drivers based on metrics- oriented DBs such as InfluxDB ● Will form the basis of a ceilometer v3 API 7
  • 8. Incremental improvements ● Declarative metering via SNMP ○ mapping metric OIDs to meter names via configuration ● Events storage in HBase and MongoDB ○ support reconstructing the resource state timeline ● Elimination of the central agent SPoF ○ use the taskflow library for workload partitioning ● Consume IPMI sensor data from Ironic ○ ironic owns the credentials & polling cadence ● Meter networking services ○ LBaaS, FWaaS, VPNaaS provided by neutron 8
  • 9. 9