Hi Everyone,
Find below details of Ceilometer pollsters for Veritas HyperScale.
Please suggest how we can take this forward for merge.
Regards,
Nirendra
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Overview:
* HyperScale pollsters are required to collect and monitor HyperScale
storage statistics.
* Collected statistics can be visualized in HyperScale dashboard.
* Pollsters are deployed on all the managed computes, HyperScale data plane
and HyperScale control plane.
* Pollsters are driven by a separate HyperScale service
Pollsters:
HyperScale pollsters are divided into following categories:
- Compute plane pollsters
- Data plane pollsters
- Tenant pollsters
- Cloud pollsters
Compute pollsters:
* Deployed on each OpenStack compute
* Collects following statistics from compute nodes
- Total bytes
- Number of IOS
- Latency
- Storage utilization at various tiers
* Collected statistics are transformed to calculate
- Throughput
- Average Latency
- IOPS
* Collects statistics at vdisk, VM and compute level
Datanode pollsters:
* Deployed on each HyperScale data node
* Collects following statistics from data node:
- Total capacity
- Free capacity
* Collects statistics at VM and datanode level
Cloud and Tenant pollsters:
* Deployed on HyperScale control plane
* Tenant pollster:
- Queries compute and data node meters from ceilometer
- Performs per tenant aggregation and inserts them as new meters
* Cloud pollster:
- Queries compute and data node meters from ceilometer
- Performs aggregation for entire OpenStack deployment and inserts them
as new meters
List of proposed files:
* compute.py
- Collection of compute node pollsters
* datanode.py
- Collection of data node pollsters
* cloud.py
- Collection of cloud pollsters
* tenant.py
- Collection of tenant pollsters
* manager.py
- Manager to start HyperScale pollsters as a seperate service
* pipeline.yaml
- pipeline configuration for HyperScale pollsters
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