)]}'
{
  "commit": "ced58a023f86fff34871ca6bb2e387d24307c0aa",
  "tree": "233d16ac6eba63e68e672d6450e3e9d90dd1fdab",
  "parents": [
    "04d791e50bb566446b9cb22ae90d6f9848243879"
  ],
  "author": {
    "name": "Andrey Pozolotin",
    "email": "posandrey@gmail.com",
    "time": "Tue Jul 13 18:49:05 2021 +0300"
  },
  "committer": {
    "name": "Andrey Pozolotin",
    "email": "posandrey@gmail.com",
    "time": "Tue Jul 13 16:07:59 2021 +0000"
  },
  "message": "Fixed CPU units\n\nChange-Id: I632529ca092bd9ffedff4dea5a4a5e608d7499b7\nThere is a slight misinterpretation of CPU units from the query\nsum by(pod) (rate(container_cpu_usage_seconds_total{namespace\u003d‘default’,container!\u003d‘’,container!\u003d‘POD’}[%sm])) * 100\nhere is a good explanation what this query gives:\nhttps://stackoverflow.com/a/48872951/11185618\nso actually each 1 indicates a pod load for 1 second for 1 CPU core (1000 milliCPUs),rather than \"CPU rate\"\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "f00dbe6108e67e464fb40d47fbbbba96053ad330",
      "old_mode": 33188,
      "old_path": "tests/scale/sizing.py",
      "new_id": "4f3a9d4c43bd68f15ca5fb9441b34f6cfa390125",
      "new_mode": 33188,
      "new_path": "tests/scale/sizing.py"
    }
  ]
}