...

	Average (seconds)		50th %tile (seconds)		75th %tile (seconds)		95th %tile (seconds)
	Check-in	Check-out	Check-in	Check-out	Check-in	Check-out	Check-in	Check-out
1 user	0.967	1.989	0.889	1.832	0.984	2.201	1.254	2.815
5 users	1.053	2.171	0.981	1.969	1.114	2.253	1.528	3.370
8 users	1.193	2.244	1.076	2.022	1.339	2.372	1.895	3.544
20 users	2.391	3.901	1.639	3.073	2.263	4.12	4.811	8.784

Slow The following table shows the slow 75th percentile APIs taking more than 100 ms to return in 8-users test

75th percentile times in seconds.

, and also comparing them against Goldenrod's. Other than the 1-user test, starting with the 5-users test, all listed APIs are slower with GET automated-patron-blocks leading the way at 150% slower, while GET circulation/loans regressed up to 60%

API	1 user GR (75th %tile)	1 user HS (75th %tile)	5 users GR (75th %tile)	5 users HS (75th %tile)	8 users GR (75th %tile)	8 users HS (75th %tile)	20 users GR (75th %tile)	20 users HS (75th %tile)
Get GET circulation/loans	0.345	0.349	0.365	0.406	0.391	0.422	0.654	0.784
Get GET inventory/items	0.208	0.186	0.208	0.222	0.225	0.233	0.312	0.375
POST checkin-by-barcode	0.682	0.593	0.631	0.664	0.815	0.849	1.296	1.467
POST checkout-by-barcode	0.750	0.717	0.688	0.784	0.733	0.817	1.205	1.469
GET automated-patron-blocks	0.069	0.163	0.085	0.180	0.079	0.188	0.118	0.296

...

	Average				50th Percentile				75th percentile				95th percentile
	Check-in GR	Check-in HS	Check-out GR	Check-out HS	Check-in GR	Check-in HS	Check-out GR	Check-out HS	Check-in GR	Check-in HS	Check-out GR	Check-out HS	Check-in GR	Check-in HS	Check-out GR	Check-out HS
1 user	1.06	0.967	1.994	1.989	0.977	0.889	1.82	1.832	1.111	0.984	2.004	2.021	1.323	1.254	2.811	2.815
5 users	1.011	1.053	1.924	2.171	0.975	0.981	1.814	1.969	1.067	1.114	1.977	2.253	1.251	1.528	2.625	3.37
8 users	1.142	1.193	2.044	2.244	1.061	1.076	1.899	2.022	1.274	1.339	2.093	2.372	1.569	1.895	3.107	3.544
20 users	1.702	2.391	3.02	3.901	1.49	1.639	2.652	3.073	1.936	2.263	3.273	4.12	2.953	4.811	5.352	8.784

This table shows that the average response time of the checkout transaction is 9% to 28% slower than in Goldenrod, and check-in in Honeysuckle likewise is about 4-22% slower (data aggregated from 5 to 20 users test runs).

Longevity test

A 24-hour longevity test was performed (with Okapi 4.2.2). Key observations:

Image Added

Performance degraded after 2 hours.
- Average response time in the first two hours:
  - Check-in: 2.28 sec
  - Check-out: 4.76 sec
- Average response time in the first 12 hours:
  - Check-in: 2.709 sec
  - Check-out: 7.898 sec
- Average response time in the last 12 hours:
  - Check-in: 4.605 sec
  - Check-out: 17.297 sec
- Together the average response time for the entire test run:
  - Check-in: 3.414 sec
  - Check-out: 11.419 sec
Throughput degrades over time, unsurprisingly
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Modules Services CPU utilizations (The black lines indicate the start and finish time of the test run)
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- With the load of 20 users, Okapi started out working hardest, but its CPU utilization drops down over time. This is because mod-pubsub's is leaking HTTP Client and taking up more resources therefore slowing down, causing Okapi to not need to route messages as much. Clearly mod-pubsub's CPU utilization went up. The other modules follow Okapi's pattern.

Services Modules Memory utilizations
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- No modules exhibited memory leaks except for mod-pubsub
Although there were two instances of mod-pubsub running on two different ec2 instances, mod-pubsub's traffic seemed to have been stickied to one instance. Here are graphs showing mod-pubsub's on one instance using up memory and CPU resources, and on another instance not showing much activities:
- Image Added
- mod-pubsub and Okapi on another node - Okapi's CPU utilization dwindles while mod-pubsub does not seem to be busy at all
- Image Added