Requirements:
| Jira Legacy |
|---|
| server | System Jira |
|---|
| columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
|---|
| serverId | 01505d01-b853-3c2e-90f1-ee9b165564fc |
|---|
| key | MODINVOICE-101 |
|---|
|
, | Jira Legacy |
|---|
| server | System Jira |
|---|
| columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
|---|
| serverId | 01505d01-b853-3c2e-90f1-ee9b165564fc |
|---|
| key | MODORDERS-311 |
|---|
|
, | Jira Legacy |
|---|
| server | System Jira |
|---|
| columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
|---|
| serverId | 01505d01-b853-3c2e-90f1-ee9b165564fc |
|---|
| key | MODORGS-45 |
|---|
|
Memory issues detection methodic
Throttled mode of service load is most convenient way to identify memory leaks or another memory utilization issues. The utility https://github.com/khandramai/gatling-folio-performance for emulation of load regime was implemented based on load and performance testing framework Gatling.
In scope of this investigation cyclic CRUD operations in 25 threads during 4 hours was used as base load. Monitoring of service operating was carried out with using the VisualVM profiler.
Deep analysis of the memory utilization was performed with using Eclipse Memory Analyzer on the basis of memory dumps prepared in advance during the operation of the service (after 1 hour of service operating).