Ensure applications properly close database connections when they are no longer needed.
Adjust the maximum number of connections in the application's database connection pool to an appropriate level.
Configure background processes to use a limited amount of system resources to avoid impacting live operations.
Reschedule maintenance, backups, and batch jobs to off-peak hours.
Implement application-level caching or load balancing to distribute requests and reduce direct database pressure.
Identify and refactor inefficient queries or code patterns that cause excessive database load.
Increase the CPU, RAM, or storage capacity of the database server or consider a more powerful instance type.
Optimize slow queries, add appropriate indexes, and tune database configuration parameters for better resource utilization.
Explore different index types (e.g., B-tree, hash, full-text) based on the nature of the queries and data.
Create indexes that include all columns needed by a query to avoid table lookups.
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Weak or default credentials, overly broad user permissions, or lack of multi-factor authentication can allow unauthorized access to sensitive data.
Outdated database software or operating systems may contain known security flaws that attackers can exploit to gain unauthorized access or compromise data integrity.
Sensitive customer data, both in transit and at rest, may be vulnerable if not properly encrypted, making it readable if intercepted or if the database is breached.
Flaws in how applications interact with the database, such as improper input validation, can lead to SQL injection attacks, allowing attackers to manipulate or extract data.
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