mod-inventory performance testing

AWS t2.2xlarge Instance (8 CPUs, 32GB of RAM, up to 3.0 GHz Intel Scalable Processor)

POST http://folio-snapshot-latest.aws.indexdata.com/inventory/instances

{
"hrid" : "in00000999",
"source" : "MARC",
"title" : "Futures, biometrics and neuroscience research Luiz Moutinho, Mladen Sokele, editors",
"alternativeTitles" : [ ],
"editions" : [ ],
"series" : [ "Innovative research methodologies in management / Luiz Moutinho, Mladen Sokele ; Volume 2", "Innovative research methodologies in management Volume 2" ],
"identifiers" : [ {
"identifierTypeId" : "5d164f4b-0b15-4e42-ae75-cfcf85318ad9",
"value" : "101073931X"
}, {
"identifierTypeId" : "8261054f-be78-422d-bd51-4ed9f33c3422",
"value" : "3319643991"
}, {
"identifierTypeId" : "8261054f-be78-422d-bd51-4ed9f33c3422",
"value" : "9783319643991"
}, {
"identifierTypeId" : "8261054f-be78-422d-bd51-4ed9f33c3422",
"value" : "9783319644004"
}, {
"identifierTypeId" : "7e591197-f335-4afb-bc6d-a6d76ca3bace",
"value" : "(OCoLC)ocn992783736"
}, {
"identifierTypeId" : "7e591197-f335-4afb-bc6d-a6d76ca3bace",
"value" : "(OCoLC)992783736"
}, {
"identifierTypeId" : "7e591197-f335-4afb-bc6d-a6d76ca3bace",
"value" : "(DE-599)GBV101073931X"
} ],
"contributors" : [ {
"contributorNameTypeId" : "2b94c631-fca9-4892-a730-03ee529ffe2a",
"name" : "Moutinho, Luiz",
"contributorTypeId" : null,
"contributorTypeText" : null
}, {
"contributorNameTypeId" : "2b94c631-fca9-4892-a730-03ee529ffe2a",
"name" : "Sokele, Mladen",
"contributorTypeId" : null,
"contributorTypeText" : null
} ],
"subjects" : [ "Betriebswirtschaftslehre", "Management", "Wissenschaftliche Methode" ],
"classifications" : [ ],
"publication" : [ {
"publisher" : "Palgrave Macmillan",
"place" : "Cham",
"dateOfPublication" : "[2018]",
"role" : null
} ],
"publicationFrequency" : [ ],
"publicationRange" : [ ],
"electronicAccess" : [ {
"uri" : "http://www.gbv.de/dms/zbw/101073931X.pdf",
"linkText" : "Electronic resource (PDF)",
"materialsSpecification" : null,
"publicNote" : "Address for accessing the table of content. PDF file",
"relationshipId" : null
} ],
"instanceTypeId" : "a2c91e87-6bab-44d6-8adb-1fd02481fc4f",
"instanceFormatIds" : [ ],
"physicalDescriptions" : [ "xxix, 224 Seiten Illustrationen" ],
"languages" : [ "eng" ],
"statisticalCodeIds" : [ ]
}

Request headers

content-type: application/json
x-okapi-tenant: diku
x-okapi-token: [token]

Request client

The tool we used to send requests is JMeter tool with preconfigured thread group. We were changing the "Number of threads" property for different test cases (1,2,4,8,16). Each thread will execute the test plan in its entirety and completely independently of other test threads. Each thread simulates a real user requesting to the server under a test. Multiple threads are used to simulate concurrent connections to server application. JMeter tool is configured on separate local Windows machine: Intel core i7, 16GB RAM. Keep in mind that mod-inventory calls mod-inventory-storage to save an incoming Instance. In it's turn, the mod-inventory-storage does SQL insert query.
And yes, multi-threading is bandaid in this case, and we created specific Jira tickets to receive a batch of Instances in one request (https://folio-org.atlassian.net/browse/MODINV-119).
If you would need more details about test plan, here is it 

05:31:46.918

07:54:06.257

2h 23mins

304 ms

3.2 Instances per 1 second

20:56:34.592

22:12:31.183

1h 14mins

344ms

6.3 Instances per 1 second

22:32:34.119

23:09:31.770

37mins

317ms

12.6 Instances per 1 second

10:40:46.639

11:00:11.094

20mins

329ms

23.3 Instances per 1 second

11:17:07.248

11:29:21.007

12mins

415ms

38.8 Instances per 1 second