// Scale
Auto-Scaling & Load Balancing
Traffic is unpredictable. Auto-scaling and load balancing ensure your application handles spikes automatically, eliminates single points of failure, and right-sizes resources for actual load — optimising both reliability and cost.
// Key benefits
What makes this service valuable
Horizontal and vertical scaling
Auto Scaling Groups (AWS), Managed Instance Groups (GCP), and Kubernetes HPA — configured with appropriate scaling policies based on your application's traffic patterns and latency requirements.
Load balancer architecture
ALB, NLB, or Nginx — configured for your application type with health checks, sticky sessions where required, TLS termination, and rate limiting.
Cost-efficiency by design
Scaling policies that scale in aggressively during low-traffic periods and scale out ahead of traffic growth — minimising compute costs without impacting availability.
// Details
Infrastructure that handles whatever traffic throws at it
Auto-scaling eliminates the manual ops work of capacity management and the risk of traffic spikes causing downtime. When configured correctly, it is invisible — your application just keeps working regardless of load.
Load balancing distributes traffic across multiple instances — eliminating single points of failure and enabling zero-downtime deployments through rolling updates.
// What this includes
- Auto Scaling Group or Kubernetes HPA configuration
- Scaling policy design (CPU, memory, custom metrics)
- Load balancer setup and health checks
- TLS termination and certificate management
- Target tracking and predictive scaling
- Multi-AZ deployment for high availability
- Load testing and scaling verification
// Deliverables
What you receive
Every engagement produces clear, documented deliverables. Here is exactly what is included in our auto-scaling & load balancing service.
- 01Auto-scaling configuration (as code)
- 02Load balancer setup and documentation
- 03Scaling policy documentation
- 04Load test results and scaling behaviour report
- 05High availability architecture diagram
// FAQ
Common questions about auto-scaling & load balancing
What triggers auto-scaling?+
CPU utilisation and memory are common triggers, but application-specific metrics are often more accurate — request queue depth, active connections, or custom CloudWatch metrics. We design scaling triggers based on your application's actual behaviour.
Ready to get started with auto-scaling & load balancing?
Share your requirements with our team. We respond within one business day with a clear plan from discovery to delivery.