Take control of your database maintenance with automated RDS reboot scheduling.
Server Scheduler provides a visual time grid to schedule reboots of RDS instances. Simply choose the times you want your databases to reboot and Server Scheduler will handle it. It's that simple.
Server Scheduler integrates directly with the AWS RDS API to handle database reboots safely and reliably. Our system automatically detects the status of your RDS instances before attempting any reboot operations, ensuring we only restart databases that are currently available and running.
Unlike application servers that developers reboot regularly, database instances often run for months without restarts. This can lead to accumulated memory usage, delayed application of certain configuration changes, and missed opportunities to apply critical security patches that require restarts. A reboot can easily fix a memory leak and leave you with a beautiful cloudwatch graph like this:
When you're scheduling RDS reboot operations manually, it's easy to forget or postpone them until performance issues force your hand. Automated scheduling ensures your databases get the maintenance they need on a predictable
Server Scheduler goes beyond basic scheduling RDS reboot functionality. The platform understands the complexities of database management and provides features specifically designed for database administrators and DevOps teams.
| Use Case | Description |
|---|---|
| Parameter Group Changes | Schedule weekly reboots after applying new database parameter groups to ensure configuration changes take effect. |
| Memory Management | Monthly restart RDS instances to clear accumulated buffer pools and optimize memory allocation for better query performance. |
| Security Patch Application | Coordinate reboots with AWS maintenance windows to ensure security updates are properly applied across your database fleet. |
| Development Database Refresh | Schedule weekend reboots for development databases to ensure clean environments for the upcoming work week. |
| Multi-AZ Failover Testing | Use scheduled reboots to periodically test Multi-AZ failover capabilities and ensure disaster recovery readiness. |
Large organizations appreciate how Server Scheduler integrates AWS RDS schedule reboot functionality with comprehensive team management. Database administrators can set up reboot schedules while giving read-only access to developers who need visibility into maintenance windows.
The audit logging captures every reboot operation with detailed timestamps and user attribution, making it easy to track maintenance activities for compliance reporting and troubleshooting performance issues.
Teams with predictable traffic patterns can take things a step further and configure scheduled RDS resizes to scale up their databases ahead of traffic spikes and back down again after.
Database reboots require extra care compared to application server restarts. Server Scheduler implements multiple safety checks to ensure your scheduled restart RDS operations happen smoothly without data loss or extended downtime.
Our system respects RDS instance states and will only reboot databases that are currently available. Instances undergoing maintenance, backups, or other operations are automatically skipped to prevent conflicts.
Comprehensive error handling ensures that failed reboot attempts are logged with detailed error messages, and automatic retry logic handles transient AWS API issues without manual intervention.
What sets Server Scheduler apart is how scheduling RDS reboot operations integrates with your entire AWS infrastructure management. You can coordinate database reboots with EC2 scheduled reboots and ElastiCache scheduled reboots from a single platform.
This unified approach means you can ensure databases restart before application servers, or schedule cache cluster maintenance to coincide with database reboots for maximum efficiency during maintenance windows.
Database teams using Server Scheduler report more predictable performance from their RDS instances. By automating what was previously an ad-hoc process, they can maintain optimal database performance without the overhead of manual maintenance scheduling.
The consistency of automated reboots also makes it easier to correlate performance improvements with maintenance activities, helping teams optimize their database configurations over time.
Q: How long is AWS RDS Reboot time?
A: Single AZ instances take a few minutes. Multi AZ instances are less than a minute as the reboot triggers a failover to the standby db.
Q: Can RDS reboot without downtime?
A: No. If you have a single AZ instance, then no as there will be a few minutes outage. If you have a multi AZ setup, the replica takes the load during the reboot but there there is still around 1 minute of downtime
Q: Do RDS parameter group changes require a reboot?
A: There are dynamic and static parameters so it depends which type you change.
Dynamic parameter changes take effect immediately without a reboot. An example is max_connections. Static parameters require a reboot of the RDS instance such as innodb_log_file_size
To see what type a parameter is, go to the AWS Console → RDS → Parameter Groups → Parameter, each one is labeled as Dynamic or Static.