Scale your fleet by the second — not by the spreadsheet.
QCloud Auto Scaling automatically adds and removes ECS instances based on live metrics, time of day, or predicted demand — keeping your workloads fast during traffic peaks and your bill flat during the quiet hours. All inside Pakistan. All in PKR.
Built on the same Tier-3 platform that runs Pakistan's banks, telcos, and broadcasters.
QCloud Auto Scaling sits on top of ECS-GP and inherits the same SLA, data residency, and 24/7 in-country support.
The cloud fleet that breathes with your traffic.
Auto Scaling is the QCloud service that automatically grows and shrinks the number of ECS instances behind your application. Define minimum and maximum bounds, pick a scaling policy (real-time, scheduled, or predictive), and Auto Scaling does the rest — adding capacity in seconds when your traffic spikes, releasing it the moment demand drops. No alerts to triage at 2 AM. No idle servers to apologise for in the next finance review.
Four pillars. One promise.
Decisions made for you, by the second.
Scheduled, dynamic, and alarm-driven scaling — all configured once and run forever.
Multi-AZ, always-on by default.
Lose an instance, lose a zone — your group just keeps serving traffic.
Sick instances replaced before users notice.
Health checks watch every member. Failures are quietly swapped out.
Pay for what you actually use.
Scale to zero in the quiet hours, scale to the ceiling in the spike. Hourly PKR.
One service. Four policies. Each one matches your traffic shape.
Pick the policy that fits how your traffic actually behaves — or combine several. QCloud Auto Scaling supports the full set.
Three functions, working in one motion.
Auto Scaling
Add or remove instances based on schedules, metrics, or forecasts — without writing a single ticket.
Automatic Load Balancing
Every new instance is automatically registered with your ELB listener and drained on scale-in. No DNS dance, no warm-up gaps.
Auto Instance Adjustment
Health checks watch every member of the group. The unhealthy ones are replaced before your users notice.
The auto-scaling lifecycle — loops, forever.
Metrics streamed every 60s (CPU, RAM, RPS, queue depth)
Different industries. Same scaling DNA.
Banking & fintech — month-end surges
Core banking, payment processing, and KYC pipelines see predictable end-of-month spikes. Schedule scaling for the surge, target-track the baseline, and stay inside State Bank's data-residency rules.
Sale event traffic
Black Friday and Eid sale events 10× normal traffic. Predictive scaling pre-warms the fleet 30 minutes before the campaign goes live.
Match-day streaming
Cricket, election nights, breaking news. Step-scale for the surge, scale in conservatively overnight.
Billing-cycle batches
Monthly billing batches push CPU hard for 4–6 hours. Scheduled scaling pre-warms; auto-replace handles failed batch hosts.
Timezone traffic
Daily diurnal curves. Predictive + target tracking together flatten the curve and cut idle compute by 40%.
Exam result days
Result-portal days have known, narrow traffic peaks. Pre-scale by schedule, watch with health checks.
A static fleet pays for the peak. Auto Scaling pays for the truth.
Two charts. Same workload. One is what you provision without Auto Scaling — the other is what Auto Scaling lets you spend.
Same workload. ~40% lower bill. Without sacrificing a single SLA second.
Plugs straight into your existing QCloud stack.
An active QCloud account, at least one custom or public image (IMS), and a VPC with subnets in your chosen region(s).
An Elastic Load Balancer (ELB) attached to the group, and EVS volumes pre-baked into your golden image.
A CloudWatch-equivalent metric source for custom-metric step or target-tracking policies.
Everything you actually need to know before you switch on Auto Scaling.
Trigger your first auto-scale event in under a day.
$100 in cloud credit. A free month of Auto Scaling. A real scaling expert assigned to your account from day one.