Versions Compared

Old Version 5

changes.mady.by.user Andy Nash

Saved on

compared with

New Version Current

changes.mady.by.user Joseph (Pepe) Kelly

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Date

Authors

Reuben Roberts Joseph (Pepe) Kelly Marcello Fabbri (Unlicensed)

Status

Resolved

Summary

PersonElasticSearchSyncJob ran simultaneously on both blue and green production servers (HEE-TIS-VM-PROD-APPS-BLUE and HEE-TIS-VM-PROD-APPS-GREEN). This caused duplicate Person entries in Elasticsearch.

Manually rerunning the PersonElasticSearchSyncJob resolved the issue.

Impact

 Users observed duplicate entries in the list of people.

...

Non-technical Description

An edge case sequence of events meant that the synchronisation of data for 'Person' ran on both load-balanced servers in the overnight jobs, creating duplicates. This is meant to be prevented by a locking mechanism to ensure the jobs only run on one of the servers. The team are investigating what contributed to the edge case scenario occurring, in order to mitigate against it reoccurring, and strengthening the logic governing the locking mechanism.

...

Trigger

  • Teams notification

  • Slack notification

    Image RemovedImage Added

...

Detection

  • A user reported in Teams Support Channel. The issue was also raised in the TIS tis-dev-team Slack channel.

  • The overlapping jobs could be viewed in the server logs


    and also in the monitoring-prod Slack channel (started 1:29 AM and 1:33 AM):

...

Action Items

Owner

  • Investigate and resolve Out of Memory errors

Reuben Roberts

After a review of previous incidents?

  • Improve locking mechanism to make it more robust

Reuben Roberts

  • , i.e. locking that includes runs that aren’t part of the @Scheduled configuration

Marcello Fabbri (Unlicensed)

...

  • The ‘locking’ to prevent the job running in parallel only takes account of scheduled runs. Any container restarts or manually running the job can cause duplication if it overlaps with the job running on the other server instance.

  • We need a more robust solution for preventing duplication of jobs running.