Database Management
Automate backups, performance tuning, and monitoring to ensure critical tasks are performed consistently and efficiently.
Minimize downtime
Automate backups and disaster recovery to reduce data loss risks, maintain compliance, and minimize downtime for continuous access.
Reduce manual work
Optimize performance tuning and monitoring with automation to reduce manual effort, enhance efficiency, and improve query execution.
Improve security posture
Enhance security and compliance with automated access controls and audit trails, reducing the risk of breaches and ensuring data integrity.
Problem
Database administrators (DBAs) face numerous challenges related to data security, maintaining high availability, and optimizing performance. They must protect against data breaches and cyber threats while ensuring compliance regulations. Managing backups and disaster recovery plans to prevent data loss is critical, as is minimizing downtime to ensure continuous access to data. DBAs must stay current with evolving technologies and best practices to effectively manage increasingly complex and distributed database environments.
Solution
PagerDuty Automation allows for the scheduling and execution of scripts and jobs, reducing manual intervention and minimizing the risk of human error. It automates backups, performance tuning, and monitoring, ensuring these critical tasks are performed consistently and efficiently. With role-based access control and logging capabilities, PagerDuty Automation enhances security and compliance by providing detailed audit trails and restricting access to sensitive operations. By automating repetitive, time-consuming tasks, DBAs can focus on more strategic initiatives, ultimately improving the overall management and performance of database platforms.
See what you can automate today.
Technical Job Steps
Ad-Hoc Backup and Restore:
Specific databases that end-users could run prior to making changes. Particularly helpful for Dev environments to quickly test then reset an environment again.
Database Health Check:
Automate the execution of SQL scripts to perform routine health checks on databases, checking for issues like fragmentation, tablespace usage, and index performance, or run critical SQL commands to validate they are running efficiently.
Schema Change Management:
Automate the execution of schema changes across development, testing, and production environments, ensuring consistency and reducing the risk of errors during deployment.
Capacity Planning and Scaling:
Monitor database usage trends and automate the provisioning or scaling of database resources (e.g., adding storage, increasing memory) based on predefined triggers or schedules, or make ad-hoc requests that can be approved through WFA.
Business Steps
On-Demand Request Form:
Request form for scheduling maintenance window and database maintenance.
HITL Approvals:
Coordinate maintenance window and DB maintenance scheduling across available time slots with stakeholders.
ITSM Management:
Coordinate update status of database management across systems of record.
Report Generation:
Generate custom reports on requests/usage.
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