Balance performance and cost
Add EC automatically when demand rises and release resources that are no longer needed when load falls, keeping the system stable without wasting budget.
The HiTechCloud brand
Auto Scaling
Auto Scaling là Services điều chỉnh tài nguyên tự động dựa trên Policy AS đã cấu hình, giúp Enterprise cân bằng hiệu năng, độ sẵn sàng và hiệu quả chi phí.
Auto-scale with load
Flexible scaling schedule
EC cost optimization
Load balancing integration
HiTechCloud
Automatic scaling. Stable. Optimized.
Scale Elastic Compute up and down automatically with actual load, using schedule-based, recurring, or metric-based policies to maintain application experience.
Overview
Automatically keeps the number of servers matched to actual demand.
HiTechCloud Auto Scaling provides effective policy-based management of server resources. A business can schedule a policy to run on a regular basis, or create a real-time monitoring policy, to manage the number of Elastic Compute instances in an AS group.
When demand rises, Auto Scaling adds elastic compute instances automatically to maintain server performance. When demand falls, it removes them according to the conditions you have configured, saving cost and reducing idle resources.
Scaling policies by schedule or by monitoring
Set fixed schedules, recurring cycles or real-time monitoring thresholds to stay ahead of shifts in application load.
Automate server lifecycle
AS supports instance creation, group membership, load distribution, alerting and EC reclamation under standardized operating rules.
Features
Scale infrastructure proactively, with no manual steps.
From automatic EC creation and load balancing to event notifications, HiTechCloud Auto Scaling helps operations teams respond quickly to changes in load.
Auto scaling
Automatically creates or removes EC instances based on actual workload, reducing reliance on manual deployment.
Automatically adjust instances
Apply scheduled, recurring, or monitoring-based policies to scale at the right moment — for example, adding capacity ahead of peak hours.
Load balancing
Distributes traffic across the EC instances in an auto scaling group, improving application availability, scalability and performance.
Automated notifications
Sends an alert when an EC instance is launched, added to a group, removed, or when a scaling policy is triggered.
Set up schedules and recurring tasks
Adjust resources automatically by hour, by day or on a defined business cycle, freeing IT teams for higher-value work.
AS policy
Scale flexibly by schedule, cycle or monitoring data.
Businesses can standardize multiple policy types to handle peak hours, scheduled tasks, or real-time load fluctuations.
Scheduled Scaling
Scale resources up or down on a fixed schedule for time windows with predictable demand.
Periodic Scaling
Repeat scaling actions automatically on a daily, weekly, or monthly cycle to match how you operate.
Metric-based Scaling
Trigger scaling based on CPU, RAM, connection or request metrics, or on operational alert thresholds.
Use case
Serves a range of business-critical applications and compute tasks.
Auto Scaling suits systems with variable load that need to add processing capacity quickly and release resources as soon as they are no longer needed.
Web applications with fluctuating traffic
When a marketing campaign, flash sale or online event drives load up quickly, AS automatically adds EC instances to maintain the user experience.
Scheduled batch jobs
Create an EC group at a scheduled time to run compute tasks, then automatically scale it down or release it when the job finishes.
Flexible Dev/Test environment
Add resources during working hours for development teams and reduce EC instances outside them to control infrastructure cost.
Services that require high availability
Combine Auto Scaling with load balancing to maintain a minimum number of servers, reducing the risk of disruption during incidents or unusual load.
Benefits
Optimize cost, improve availability and simplify infrastructure operations.
Cost savings
Keeps the number of EC instances matched to actual demand, adding capacity when needed and removing surplus resources as load falls.
Convenient performance monitoring
Observe scaling state, performance and compute resources to track system health over time.
Reliable operations
Standardized scaling policies make applications respond more consistently to load changes and reduce the risk of manual error.
Complete cloud ecosystem
Works easily with Elastic Compute, Load Balancer, monitoring, networking and other HiTechCloud services.
Pricing
Choose the right Auto Scaling size and billing cycle.
Prices exclude VAT. Filter by configuration size and select a billing period to see the corresponding cost.
Deploy
A clear, controllable process for configuring auto scaling.
HiTechCloud supports you from application load assessment and Auto Scaling group design through monitoring, threshold tuning, and post-deployment cost optimization.
Assess load and SLA targets
Identify peak traffic, performance thresholds, EC configuration, and the minimum and maximum server counts.
Design Auto Scaling groups
Standardize the launch template, network, security groups and health checks, and integrate load balancing where needed.
Configure scaling policies
Set policies by schedule, cycle or monitoring metric to scale resources up and down automatically.
Continuous monitoring and optimization
Review alerts, scaling logs and application performance, and tune thresholds to balance SLA against cost.
FAQs
Frequently asked questions about Auto Scaling.
Key information to help businesses configure Auto Scaling safely and effectively.
Why use Auto Scaling?
Auto Scaling adds resources automatically as load rises and releases them as load falls, keeping performance stable, reducing interruptions and optimizing operating costs.
How do I configure Auto Scaling?
You must define the EC cluster, sample Server configuration, minimum and maximum quantity, scaling policy, Monitoring threshold, Notification, and load balancing mechanism if your application requires it.
How does Auto Scaling work?
The service watches the configured conditions. When a scale-out condition is met, the system provisions additional ECs; when demand falls, surplus ECs are removed under the scale-in policy.
What types of Auto Scaling are available?
Common patterns include scheduled scaling, recurring scaling and scaling driven by monitoring metrics such as CPU, RAM, requests, connections or performance alerts.
How do I monitor and control Auto Scaling?
You can monitor the number of EC instances, scaling events, health checks, operations logs, performance alerts, and adjust policy thresholds when your load model changes.
Which applications can Auto Scaling work with?
The service suits web and app servers, APIs, batch workers, background processing systems, Dev/Test environments and any application that can run across multiple independent EC instances behind a load balancer.
HiTechCloud Auto Scaling
Ready to automate resource scaling for your application?
Contact HiTechCloud for advice on Auto Scaling configuration, load balancing, monitoring and cost optimization policies suited to your workload.
Deployment consultation
