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https://github.com/fabiand/v-sizer
https://github.com/fabiand/v-sizer
Last synced: about 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/fabiand/v-sizer
- Owner: fabiand
- Created: 2023-07-18T20:42:50.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-15T11:49:23.000Z (over 1 year ago)
- Last Synced: 2023-11-30T17:47:23.120Z (about 1 year ago)
- Language: Rust
- Size: 46.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
This is a rough framwork to build sizers for different OCP topologies.
It can estimate a cluster size for a target workload _or_ provide an estimate of how many workloads fit onto a given cluster topology.
# Run
```console
$ cargo run
Compiling serde_derive v1.0.173
Compiling proc-macro2 v1.0.66
Compiling serde v1.0.173
Compiling serde_json v1.0.104
Compiling unicode-ident v1.0.11
Compiling itoa v1.0.9
Compiling ryu v1.0.15
Compiling syn v1.0.109
Compiling utf8-width v0.1.6
Compiling quote v1.0.31
Compiling byte-unit v4.0.19
Compiling display_json v0.2.1
Compiling sizer v0.1.0 (/var/home/fabiand/work/openshift/sizer)
Finished dev [unoptimized + debuginfo] target(s) in 11.41s
Running `target/debug/sizer`
Cluster: {
"description": "",
"schedulable_control_plane": false,
"control_plane_node_count": 3,
"worker_node_count": 3,
"worker_node": {
"description": "Worker node",
"resources": {
"memory": 274877906944,
"cpus": 128
}
},
"cpu_over_commit_ratio": 0.1
}
Estimated cluster capacity: {
"resources": {
"consumed_by_system": {
"memory": 64424509440,
"cpus": 24
},
"reserved_for_overhead": {
"memory": 5368709120,
"cpus": 0
},
"available_to_workloads": {
"memory": 754840502272,
"cpus": 360
}
},
"reasoning": [
"HyperConverged clusters have an increased amount of system resource consumption.",
"The use of ODF benefits from larger buffers."
]
}
Workloads: {
"vm_count": 100,
"instance_type": {
"name": "u1.medium",
"guest": {
"memory": 4294967296,
"cpus": 8
},
"consumed_by_system": {
"memory": 209715200,
"cpus": 1
},
"reserved_for_overhead": {
"memory": 0,
"cpus": 0
}
}
}
Estimated workload capacity: {
"memory": 754840502272,
"cpus": 360
}
Avail - req: {
"memory": 325343772672,
"cpus": -440
}
Workload fit into estimate? false
Workload how many fit into estimate? 40 constrained by "CPU constraint"
Cluster estimate for workload: {
"description": "Cluster with sufficient capacity",
"schedulable_control_plane": true,
"control_plane_node_count": 3,
"worker_node_count": 5,
"worker_node": {
"description": "Worker node",
"resources": {
"memory": 274877906944,
"cpus": 128
}
},
"cpu_over_commit_ratio": 0.1
}
```
# Plan
1. Provide different opologies
2. Move example to tests/example