performance-docs/doc/source/test_results/reliability/fuel_ccp/reports/keystone/authenticate_with_kill_keys.../index.rst

11 KiB

Keystone authentication with kill of Keystone on one node

This report is generated on results collected by execution of the following Rally scenario:

---
{% set repeat = repeat|default(5) %}
  Authenticate.keystone:
{% for iteration in range(repeat) %}
    -
      runner:
        type: "constant_for_duration"
        duration: 60
        concurrency: 20
      context:
        users:
          tenants: 1
          users_per_tenant: 1
      hooks:
        -
          name: fault_injection
          args:
            action: kill keystone service on one node
          trigger:
            name: event
            args:
              unit: iteration
              at: [100]
{% endfor %}

Summary

Service downtime, s MTTR, s Absolute performance degradation, s Relative performance degradation, ratio
2.8 ±1.1 8.3 ±2.4 3.10 ±0.23 16.35 ±0.92
Metrics:
  • Service downtime is the time interval between the first and the last errors.
  • MTTR is the mean time to recover service performance after the fault.
  • Absolute performance degradation is an absolute difference between the mean of operation duration during recovery period and the baseline's.
  • Relative performance degradation is the ratio between the mean of operation duration during recovery period and the baseline's.

Details

This section contains individual data for particular scenario runs.

Run #1

image

Baseline

Baseline samples are collected before the start of fault injection. They are used to estimate service performance degradation after the fault.

Samples Median, s Mean, s Std dev 95% percentile, s

75

0.25

0.26

0.064

0.4

Service downtime

The tested service is not available during the following time period(s).

# Downtime, s

1

0.024 ±0.024

2

1.830 ±0.010

Service performance degradation

The tested service has measurable performance degradation during the following time period(s).

# Time to recover, s Absolute degradation, s Relative degradation

1

4.189 ±0.033 1.94 ±0.59 8.5 ±2.3

Run #2

image

Baseline

Baseline samples are collected before the start of fault injection. They are used to estimate service performance degradation after the fault.

Samples Median, s Mean, s Std dev 95% percentile, s

75

0.26

0.27

0.071

0.41

Service downtime

The tested service is not available during the following time period(s).

# Downtime, s

1

0.0015 ±0.0015

2

1.3940 ±0.0024

Service performance degradation

The tested service has measurable performance degradation during the following time period(s).

# Time to recover, s Absolute degradation, s Relative degradation

1

7.198 ±0.068 4.0 ±1.2 15.7 ±4.4

Run #3

image

Baseline

Baseline samples are collected before the start of fault injection. They are used to estimate service performance degradation after the fault.

Samples Median, s Mean, s Std dev 95% percentile, s

71

0.24

0.24

0.054

0.32

Service downtime

The tested service is not available during the following time period(s).

# Downtime, s

1

1.883 ±0.011

Service performance degradation

The tested service has measurable performance degradation during the following time period(s).

# Time to recover, s Absolute degradation, s Relative degradation

1

5.762 ±0.047 2.46 ±0.79 11.2 ±3.2

Run #4

image

Baseline

Baseline samples are collected before the start of fault injection. They are used to estimate service performance degradation after the fault.

Samples Median, s Mean, s Std dev 95% percentile, s

72

0.32

0.32

0.098

0.49

Service downtime

The tested service is not available during the following time period(s).

# Downtime, s

1

1.191 ±0.013

Service performance degradation

The tested service has measurable performance degradation during the following time period(s).

# Time to recover, s Absolute degradation, s Relative degradation

1

5.796 ±0.042 2.61 ±0.80 9.0 ±2.5

Run #5

image

Baseline

Baseline samples are collected before the start of fault injection. They are used to estimate service performance degradation after the fault.

Samples Median, s Mean, s Std dev 95% percentile, s

76

0.19

0.2

0.041

0.29

Service downtime

The tested service is not available during the following time period(s).

# Downtime, s

1

7.468 ±0.017

Service performance degradation

The tested service has measurable performance degradation during the following time period(s).

# Time to recover, s Absolute degradation, s Relative degradation

1

0.8176 ±0.0016 0.176 ±0.024 1.88 ±0.12

2

0.3703 ±0.0011 0.199 ±0.047 2.00 ±0.24

3

3.7349 ±0.0019 0.228 ±0.018 2.145 ±0.090

4

0.5604 ±0.0019 0.178 ±0.033 1.89 ±0.17

5

0.5767 ±0.0012 0.175 ±0.026 1.88 ±0.13

6

1.1616 ±0.0019 0.192 ±0.025 1.96 ±0.12

7

1.1645 ±0.0019 0.200 ±0.024 2.01 ±0.12

8

0.3467 ±0.0016 0.179 ±0.045 1.90 ±0.23

9

0.8827 ±0.0014 0.218 ±0.033 2.09 ±0.16

10

0.4818 ±0.0018 0.175 ±0.036 1.88 ±0.18

11

2.9380 ±0.0013 0.193 ±0.018 1.967 ±0.091

12

0.1112 ±0.0027 0.169 ±0.034 1.85 ±0.17

13

0.6466 ±0.0015 0.205 ±0.032 2.03 ±0.16

14

0.1132 ±0.0015 0.144 ±0.028 1.72 ±0.14

15

4.886 ±0.039 1.82 ±0.57 10.1 ±2.9