Add comprehensive dataplane scaling and performance documentation #1724
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This commit adds comprehensive documentation for scaling and performance tuning of dataplane deployments: - New: dataplane_performance_tuning_large_scale.adoc - Comprehensive guide covering NodeSet grouping strategies, parallel execution patterns, Ansible performance tuning, ansible-limit usage, scaling strategy comparisons, best practices, and troubleshooting. - Renamed: scaling.adoc -> dataplane_scaling_out.adoc - Existing scaling out/in procedures now in more descriptively named file. - Updated: dataplane.adoc - Added includes for both new performance tuning guide and renamed scaling operations guide. Key topics covered: - Single vs. multiple NodeSet strategies with performance comparisons - Ansible environment variables for tuning (ANSIBLE_FORKS, pipelining, etc.) - Using ansible-limit for gradual rollouts and targeted deployments - Detailed 100-node deployment comparison showing 2x speedup with multiple NodeSets - Best practices for monitoring, optimization, and troubleshooting 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> Jira: OSPRH-18952 Signed-off-by: James Slagle <jslagle@redhat.com>
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Unable to freeze job graph: Job podified-multinode-edpm-deployment-crc depends on openstack-k8s-operators-content-provider which was not run. |
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@slagle: The following test failed, say
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This is just docs, so I don't see any reason to recheck/retest failing CI jobs. |
| * <<ceilometerspeccore,CeilometerSpecCore>> | ||
| * <<ceilometerstatus,CeilometerStatus>> | ||
| * <<ksmstatus,KSMStatus>> | ||
| * <<cloudkittyapi,CloudKittyAPI>> |
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These changes look unrelated.
| | customServiceConfig | ||
| | CustomServiceConfig - customize the service config using this parameter to change service defaults, or overwrite rendered information using raw OpenStack config format. The content gets added to /etc/+++<service>+++/+++<service>+++.conf.d directory a custom config file.+++</service>++++++</service>+++ | ||
| | CustomServiceConfig - customize the service config using this parameter to change service defaults, or overwrite rendered information using raw OpenStack config format. The content gets added to to /etc/+++<service>+++/+++<service>+++.conf.d directory a custom config file.+++</service>++++++</service>+++ |
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"to to" looks like the doc string have typo[1] hence generated like that.
| 4. Operator starts deployment for `compute-group-4` → ansible-runner pod launches | ||
| 5. All four ansible-runner pods execute in parallel | ||
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| This means *4 separate Ansible executions run simultaneously*, each processing |
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Maybe it's mentioned elsewhere I missed, we can probably mention about AnsibleJobNodeSelector for deployments that can distribute them across worker nodes.
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This commit adds comprehensive documentation for scaling and
performance tuning of dataplane deployments:
New: dataplane_performance_tuning_large_scale.adoc - Comprehensive
guide covering NodeSet grouping strategies, parallel execution
patterns, Ansible performance tuning, ansible-limit usage, scaling
strategy comparisons, best practices, and troubleshooting.
Renamed: scaling.adoc -> dataplane_scaling_out.adoc - Existing
scaling out/in procedures now in more descriptively named file.
Updated: dataplane.adoc - Added includes for both new performance
tuning guide and renamed scaling operations guide.
Key topics covered:
multiple NodeSets
🤖 Generated with Claude Code
Co-Authored-By: Claude noreply@anthropic.com
Jira: OSPRH-18952
Signed-off-by: James Slagle jslagle@redhat.com