The customer chose to protect their confidential information
The customer is one of the top local finance institutions with a broad service portfolio for multiple client segments.
The project was aimed at migrating data from an Oracle database management system (DBMS) to a PostgreSQL one. However, the migration will result in data distortion, which would lead to negative results – in particular, the growth of processing queues and the failure to achieve the required functionality.
This issue can be addressed by performing a VACUUM ANALYZE on the database objects to build up-to-date statistics for generating query plans. The process can also be performed automatically (autovacuum), but this takes more time. During this period, performance degradation of the PostgreSQL DBMS may occur.
Additionally, it was found that an index required for heavy requests was absent. After the index was created, the load on the DBMS significantly decreased.
Other:
Ansible
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