References
- CPS-2444Getting issue details... STATUS
Issues & Decisions
Issue | Notes | Decision | |
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1 | Agree on endurance performance KPI | The aim of the study is to early detection of bugs similar to - CPS-2430Getting issue details... STATUS or any memory leakage in the future. Thus, we should spot the specific function/s currently used in k6 to be improved. These function/s will be used in the Endurance test suit. Actions:
| CPS need to run all the test cases according to FS not according to what was tested in cps-2430 (Seeing they ran test that was outside of FS). Less focus on the KPI for this endurance run. Kolawole Adebisi-Adeolokun Halil Cakal |
2 | Agree on the test environment | Blocked by - CPS-2463Getting issue details... STATUS
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3 | Visualization of memory trend | The most convenient way to represent the memory usage trend in a GUI is Grafana.
| Agreed to use Grafana majorly because it allows storage for longer periods sticking with our A/C Kolawole Adebisi-Adeolokun Halil Cakal Note: A PoC for the GNUPlot option has been made, please see the relevant Jira ticket details. Daniel Hanrahan Halil Cakal Toine Siebelink
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CPS-2466Getting issue details...
STATUS
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4 | Grafana access externally (If Grafana is selected at #3 then this issue should be discussed, otherwise ignore) |
Team Kraken support is needed either way. | Since Grafana is the preferred option, access issues shall be discussed with team Kraken Halil Cakal (consider Jenkins plug-in option as well)7
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5 | Permanent storage (DB) for Grafana (If Grafana is selected at #3 then this issue should be discussed, otherwise, ignore) | Investigate the solution strategy for the storage e.g. a permanent service 7/24 running … | Halil Cakal to investigate how to tune the volume |
Requirements
Functional
Interface | Requirement | Additional Information | Signoff | |
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1 | N/A | Configurable duration (longevity) |
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2 | N/A | The Grafana support |
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3 | N/A | Parallel run | The new k6 suit should be able to run in parallel to existing ones | |
4 | N/A | A new Jenkins job | The new Jenkin’s job should be independent of the current ones |
Error Handling
Scenario | Expected Behavior | Notes | Signoff | |
---|---|---|---|---|
1 | N/A | N/A |
Characteristics
Parameter | Expectation | Notes | Signoff | |
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1 | longevity - configurable duration | Should be able to identify any memory leakage |
Out of Scope
Reporting the reason for memory leakage if any.
Troubleshooting if the Endurance Tests can not run parallel to existing ones or cause issues in other tests on the physical test server.
Suggested Tasks
Description | Jira |
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Add new k6 performance test suit | |
Add new Jenkins job to run endurance test | |
Add Grafana support to visualize memory usage pattern | |
Two docker-compose deployments simultaneously | |
Add new k6 test suit |
Solution Proposal
For the sake of simplicity, the solution would be straightforward if a new test server is provided.
The functional/test-suit improvements in the current k6 performance tests if required
The current k6 suit has only passthrough read and create operations, but we may also need a passthrough patch and passthrough delete tests in the new k6 suit
The existing K6 performance tests are enough to detect any memory leakage so that no new K6 test will be added.Daniel Hanrahan Halil CakalThere should be a new test suit Toine Siebelink Kolawole Adebisi-Adeolokun Halil Cakal - CPS-2493Getting issue details... STATUS
All tests should be run in parallel in the Endurance test. Also, the same scenarios, executor types, and VUs should be the same in the Endurance suit except for legacy_batch_consume_scenario. The executor type for legacy_batch_consume_scenario should be changed to constant-arrival-rate with 1 req/second. Toine Siebelink Daniel Hanrahan Kolawole Adebisi-Adeolokun Halil Cakal
The current KPI and ENDURANCE (proposed) test parameters (Last updated )
1 | K P I | E N D U R A N C E | ||||||||
2 | Test Stages | Scenario Name | Unit | Executor Type | VUs | Duration | Scenario Name | VUS | Executor Type | Duration |
3 | setup | create_cm_handles | CM-handles/second | N/A | N/A | 20m | create_cm_handles | N/A | N/A | 20m |
4 | scenario | passthrough_read_scenario | overhead | constant-vus | 2 | 15m | passthrough_read_scenario | 2 | constant-vus | 1h |
5 | passthrough_read_alt_id_scenario | overhead | constant-vus | 2 | passthrough_read_alt_id_scenario | 2 | constant-vus | |||
6 | passthrough_write_scenario | overhead | constant-vus | 2 | passthrough_write_scenario | 2 | constant-vus | |||
7 | passthrough_write_alt_id_scenario | overhead | constant-vus | 2 | passthrough_write_alt_id_scenario | 2 | constant-vus | |||
8 | cm_handle_id_search_nofilter_scenario | milliseconds | constant-vus | 1 | cm_handle_id_search_nofilter_scenario | 1 | constant-vus | |||
9 | cm_handle_id_search_module_scenario | milliseconds | constant-vus | 1 | cm_handle_id_search_module_scenario | 1 | constant-vus | |||
10 | cm_handle_id_search_property_scenario | milliseconds | constant-vus | 1 | cm_handle_id_search_property_scenario | 1 | constant-vus | |||
11 | cm_handle_id_search_cpspath_scenario | milliseconds | constant-vus | 1 | cm_handle_id_search_cpspath_scenario | 1 | constant-vus | |||
12 | cm_handle_id_search_trustlevel_scenario | milliseconds | constant-vus | 1 | cm_handle_id_search_trustlevel_scenario | 1 | constant-vus | |||
13 | cm_handle_search_nofilter_scenario | milliseconds | constant-vus | 1 | cm_handle_search_nofilter_scenario | 1 | constant-vus | |||
14 | cm_handle_search_module_scenario | milliseconds | constant-vus | 1 | cm_handle_search_module_scenario | 1 | constant-vus | |||
15 | cm_handle_search_property_scenario | milliseconds | constant-vus | 1 | cm_handle_search_property_scenario | 1 | constant-vus | |||
16 | cm_handle_search_cpspath_scenario | milliseconds | constant-vus | 1 | cm_handle_search_cpspath_scenario | 1 | constant-vus | |||
17 | cm_handle_search_trustlevel_scenario | milliseconds | constant-vus | 1 | cm_handle_search_trustlevel_scenario | 1 | constant-vus | |||
18 | legacy_batch_produce_scenario | milliseconds | shared-iterations | 2 | N/A | legacy_batch_produce_scenario | 1 (1 req. sec) | constant-arrival-rate | ||
19 | legacy_batch_consume_scenario | events/second | per-vu-iterations | 1 | ||||||
20 | teardown | delete_cm_handles | CM-handles/second | N/A | N/A | 20m | delete_cm_handles | N/A | 10m |
To visualize the memory usage trends, the current Grafana container used in CPS’s docker-compose can be enhanced to support local DB.
As mentioned in issues/decisions, there are two alternative ways of representing memory trends: Grafana and GNUPlot.
Grafana support (without Grafana db) has already been in place in our docker-compose deployment descriptor and can be activated by --profile monitoring.
Then it will be accessible by http://localhost:3001/login
The trend of G1 Old Gen space can be observed as seen below:
Gnuplot also allows one to draw a plot for only G1 Old Gen space, as we used it for our K6 plots.
Getting support from Team Kraken for external link/server access, if we decide to visualize memory trends by Grafana.
It will be required to make the local GUI Grafana link available to the team.