Effortless, Intelligent Autoscaling for Cloud Compute
Trusted by 20,000+ Businesses
What are the Key Features of Autoscaling?
Automatically scales compute instances or containers up or down based on demand, handling spikes without manual input.
Set rules using metrics like CPU or memory; define thresholds, cooldown times, and maximum scaling limits.
Launch new instances or nodes within seconds to prevent performance drops during high traffic or workloads.
New resources are automatically registered with load balancers, ensuring smooth distribution of traffic across scaled instances.
Optimize Costs Without Compromising Performance with AceCloud Autoscaling
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Real-World Applications of Autoscaling
AI & ML Workloads
Scale GPU and compute resources on-demand for model training or inference bursts.
E-Commerce Traffic Surges
Automatically add or reduce servers during flash sales or seasonal campaigns.
Streaming Services
Scale up for peak viewing hours and scale down during low traffic periods.
SaaS Applications
Support thousands of concurrent users with elastic backends and stable response times.
Dev/Test Environments
Use scaling rules to keep resource costs low outside working hours.
Enterprise-Grade Security and Compliance
Strategic Technology Partners
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Frequently Asked Questions
Autoscaling in cloud compute refers to the automatic adjustment of cloud resources like virtual machines or containers, based on real-time workload demands. It helps businesses maintain performance while optimizing infrastructure usage and cost.
Autoscaling solutions monitor your cloud workloads and automatically scale resources up or down based on predefined metrics like CPU, memory or network traffic. This ensures that applications run efficiently under all load conditions.
Cloud autoscaling improves application availability, reduces manual intervention, optimizes performance and controls cloud infrastructure costs by dynamically matching resources to actual demand.
AceCloud’s autoscaling infrastructure uses intelligent policies, predictive scaling and multi-zone failover support to maintain application uptime and resilience even during unexpected traffic spikes or failures.
Yes. Our autoscaling architecture supports fully customizable rules, allowing you to define scaling thresholds, schedules and triggers tailored to your specific workload and business needs.
Our autoscaling pricing follows a usage-based model. You only pay for the resources used during scaling events there are no flat fees or hidden charges, making it highly cost-effective.
Yes. AceCloud supports vertical scaling (increasing instance capacity) and horizontal scaling (adding/removing instances), offering a complete cloud autoscaling solution for dynamic workloads.
Absolutely. Our cloud compute environment is optimized for GPU-based workloads, and autoscaling allows AI/ML applications to access the exact compute power they need on demand.
Our cloud autoscaling is backed by enterprise-grade SLAs, real-time monitoring, predictive intelligence and full-stack support including VMs, containers, and serverless. Plus, our transparent autoscaling pricing ensures you always know what you’re paying for.
