Scale your AWS EC2 instances up and down at scheduled times to optimize costs and performance.
Server Scheduler provides a visual time grid to automatically resize EC2 instances at scheduled times throughout the week.
Simply choose the times you want your instances to scale up or down, the size you want to go to and Server Scheduler will handle the entire resize process automatically.
Server Scheduler integrates with the AWS EC2 API to handle instance resizing safely and reliably. Using the API key you provide, our system automatically stops running instances, modifies the instance type, and restarts them according to your predefined schedule.
Many applications have predictable usage patterns where they need more compute power during business hours and can run on smaller instances during off-peak times, saving up to 70% on costs. Manually resizing instances is time-consuming and easy to forget. This is where Server Scheduler comes in with an easy to use time grid to set the time, size and family of instance you want to change to.
Autoscaling is the most common way for applications to scale if you can deal with the trade offs. It can be tricky to set up and costs can quickly spiral if a flood of traffic comes. The scaling is out of your control and is determined by your users.
Server Scheduler offers precision by allowing devops engineers to determine exactly when an applications EC2 servers should scale and by how much. When you have predictable traffic patterns it makes more sense to put guard rails on the scaling windows and that is made possible with our time grid.
Automated resizing ensures your EC2 instances are always sized appropriately for the current workload demands, maximizing performance during peak hours while minimizing costs during low-usage periods.
Server Scheduler goes beyond basic EC2 resizing functionality. The platform understands the complexities of instance management and provides features specifically designed for DevOps teams and system administrators.
Feature | Description |
---|---|
✅ Automatic Stop & Start | Safely stops instances before resizing and automatically restarts them after the instance type change is complete. |
✅ Weekly Schedule Grid | Set different instance types for specific days and hours throughout the week with an intuitive visual interface. |
✅ Instance Type Validation | Automatically validates that target instance types are compatible with your current configuration and available in your region. |
✅ Multi-Region Support | Manage resize schedules across all AWS regions from a single dashboard, perfect for global infrastructure management. |
✅ Cost Optimization | Automatically scale down to smaller, cheaper instances during off-peak hours to reduce your AWS bill significantly. |
✅ Performance Scaling | Scale up to larger instances during peak hours to ensure optimal application performance when you need it most. |
Use Case | Scheduling Strategy |
---|---|
👉 Business Hours Scaling | Scale up to larger instances (c5.xlarge) during 9 AM - 6 PM workdays, scale down to smaller instances (t3.small) overnight and weekends. |
👉 Development Environment Optimization | Use powerful instances during development hours for faster builds, then scale to minimal instances to reduce costs when not in use. |
👉 Batch Processing Workloads | Schedule compute-optimized instances during known processing windows, then revert to general-purpose instances for normal operations. |
👉 Traffic Pattern Optimization | Scale web servers to handle peak traffic during business hours, then reduce capacity during predictable low-traffic periods. |
👉 Seasonal Scaling | Automatically adjust instance sizes based on predictable seasonal demand patterns or business cycles. |
Large organizations appreciate how ServerScheduler integrates EC2 resize scheduling with comprehensive team management. System administrators can set up resize schedules while giving read-only access to developers who need visibility into infrastructure scaling.
The audit logging captures every resize operation with detailed timestamps and user attribution, making it easy to track scaling activities for compliance reporting and cost optimization analysis.
EC2 instance resizing requires careful handling to prevent data loss or service disruption. ServerScheduler implements multiple safety checks to ensure your scheduled resize operations happen smoothly without issues.
Our system only resizes instances that are currently stopped, automatically stopping running instances first and restarting them after the resize completes. This ensures zero data loss during the process.
Comprehensive error handling ensures that failed resize attempts are logged with detailed error messages, and automatic retry logic handles transient AWS API issues without manual intervention.
What sets ServerScheduler apart is how EC2 resize scheduling integrates with your entire AWS infrastructure management. You can coordinate instance resizing with database scaling and cache cluster management from a single platform.
This unified approach means you can ensure databases are scaled before application servers, or schedule cache optimization to coincide with compute scaling for maximum efficiency during peak periods.
Development teams using ServerScheduler report 40-70% cost reductions on their EC2 spend by automatically scaling down during off-hours. Production environments see improved performance during peak times while maintaining cost efficiency during low-usage periods.
The consistency of automated resizing also makes it easier to predict and budget AWS costs, helping teams optimize their cloud spending over time with data-driven scaling decisions.