diff --git a/docs/sections/blog/posts/2023/2023-02-14-rpm-redirect-serving-perf-scale-testing.md b/docs/sections/blog/posts/2023/2023-02-14-rpm-redirect-serving-perf-scale-testing.md index 58d2246..f995843 100644 --- a/docs/sections/blog/posts/2023/2023-02-14-rpm-redirect-serving-perf-scale-testing.md +++ b/docs/sections/blog/posts/2023/2023-02-14-rpm-redirect-serving-perf-scale-testing.md @@ -68,10 +68,12 @@ Now that we've seen the results, let's go through the system that produced them. ### Physical hardware All on AWS in EU-West-2 1 Load generator - m4.2xlarge instance: + * 8 64-bit CPUs, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz * 32GB Ram 1 Pulp test machine - m4.2xlarge instance: + * 8 64-bit CPUs, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz * 32GB Ram @@ -184,7 +186,7 @@ increases in req/sec with additional increases in locust users. ## Data Collected -See [this spreadsheet](../../../../files/pulp_rpm_redirection_perf_and_scale_blog_post/Sheet1.html) +See [this spreadsheet](resources/sheet.html) for the raw data collected. A few comments on the data: diff --git a/docs/sections/blog/posts/2023/resources/sheet.html b/docs/sections/blog/posts/2023/resources/sheet.html new file mode 100644 index 0000000..d3857d5 --- /dev/null +++ b/docs/sections/blog/posts/2023/resources/sheet.html @@ -0,0 +1,6 @@ + + + +
ABCDEFGHIJKLMNOPQRSTUVWXYZAAABACADAE
1
# Locust Workers# UsersLocust Worker CPU %Locust Worker MB
Caching Enabled
# Content ProcessesPULP_CONTENT_WORKERSActual Gunicorn WorkersAvg CPU %Avg Mem %req / sec
median response (ms)
95th response (ms)Redis % CPUPostgresql WorkersPostgresql % CPU
req / sec / processors / avg_cpu
2
1611656Yes121850.5650110764.71
3
1621053Yes121970.576022783.51
4
1631253Yes122900.5133022738.89
5
1641053Yes122970.5145022747.42
6
165853Yes122970.5145034747.42
7
8
1611653Yes222420.562511744.05
9
1621253Yes222630.591022722.22
10
1631253Yes224530.5139012655.66
11
1641155Yes224590.5155023656.78
12
1651055Yes224700.5175024625.00
13
166955Yes224730.5184025630.14
14
167955Yes224780.5192035615.38
15
168855Yes224800.5199036621.88
16
169755Yes224810.5200048617.28
17
1610655Yes224830.5206048620.48
18
1615455Yes224880.52190612622.16
19
1620455Yes224920.52250815611.41
20
1625655Yes224910.522801018626.37
21
1630655Yes224930.523501221631.72
22
1635555Yes224930.523301426626.34
23
1640555Yes224930.523501628631.72
24
1650655Yes224940.523702035630.32
25
1660655Yes224950.523702443623.68
26
27
1651055Yes427420.5172025585.03
28
1610855Yes428600.524803715516.67
29
1620760Yes428700.5291061219519.64
30
1630760Yes428750.5305081921508.33
31
1640761Yes428770.53150112521511.36
32
1650761Yes428780.53180133221509.62
33
16100864Yes428810.53220247022496.91
34
16200767Yes428810.532204416022496.91
35
36
161253No222390.5891012029114.10
37
162253No223430.514512190311112.40
38
164452No224560.52201628041498.21