AWS Load Balancer pricing determines how you distribute traffic across targets and pay for availability and performance. Understanding the cost drivers, metrics, and options helps teams align architecture with budget and reliability goals.
This guide walks through the pricing models for different load balancer types and provides actionable details for estimating and optimizing your cloud spend.
| Load Balancer Type | Network Layer | Pricing Components | Best For |
|---|---|---|---|
| Application Load Balancer (ALB) | Layer 7 | LCU, hourly charges, TLS termination, rules processing | HTTP/HTTPS applications, microservices, API gateways |
| Network Load Balancer (NLB) | Layer 4 | Flow-hour, processed bytes, TLS offload static IPs | High throughput, static IPs, UDP/TCP proxies |
| Gateway Load Balancer (GWLB) | Layer 2/3 | Flow-hour, processed bytes, appliance hourly fees | Third‑party virtual appliances, transparent inspection |
| Classic Load Balancer (deprecated) | Layer 4/7 | Load balancer-hours, processed data | Legacy workloads migrating to ALB/NLB |
How Application Load Balancer Pricing Works
ALB pricing centers on the Load Balancer Capacity Unit (LCU), which measures combinations of new connections, processed bytes, rule evaluations, and TLS handshakes. You pay for LCU-hours based on the peak LCU in any hour, so traffic patterns and rule complexity directly affect cost.
Hourly charges and TLS termination add to the base LCU cost, especially when you use multiple certificates or enable idle timeout tuning. Evaluating average and peak LCU usage helps you choose between autoscaling targets and reserved capacity options.
For predictable workloads, planning capacity and using connection pooling can reduce unnecessary LCU spikes while maintaining responsive user experiences.
How Network Load Balancer Pricing Works
NLB charges combine hourly fees for flow capacity and data processed per GB, with additional costs for static Elastic IPs and TLS offload. Each new flow consumes flow-hour capacity, so long‑lived connections can increase hourly charges faster than short bursts.
Measured in processed bytes, NLB costs scale with throughput and cross‑zone traffic, making traffic pattern analysis essential for budgeting. Selecting the right instance type and placement can optimize performance per dollar.
When you need static IPs or ultra low latency, NLB’s pricing model favors predictable, high‑volume traffic over request‑level granularity.
Optimizing Costs and Selecting the Right Type
Choosing the right load balancer starts with matching protocol requirements and traffic patterns to pricing components. ALB shines for HTTP/HTTPS with advanced routing, while NLB handles raw TCP/UDP throughput and static IP needs at a different cost structure.
Monitoring LCU and flow-hour metrics in CloudWatch lets you rightsize capacity, adjust idle timeout, and refine security group rules to avoid overprovisioning. Combining autoscaling with scheduled updates for peak events can produce significant savings.
Tagging, cost allocation, and regular reviews help you identify underused listeners and targets, enabling precise optimization and clearer chargeback or showback strategies.
Common Configuration Factors That Influence Costs
Listeners and rules, certificate management, idle timeout settings, and health check intervals all contribute to hourly and processing costs. More rules and active TLS handshakes increase LCU or flow-hour consumption, especially during traffic surges.
Cross‑zone load balancing and data transfer fees vary by region and architecture, so understanding your traffic paths between Availability Zones and end users is critical. Enabling access logs and using sampling can keep observability costs under control while preserving insights.
Planning architectural patterns such as shared or dedicated load balancers, and using VPC endpoints for internal traffic, can fine‑tune network cost efficiency.
Key Takeaways for AWS Load Balancer Pricing
- Match load balancer type to protocol and traffic patterns to avoid overpaying for unused features.
- Monitor LCU, flow-hour, and processed bytes with CloudWatch to rightsize capacity and manage peak loads.
- Consolidate listeners, reuse certificates, and tune idle timeout to lower hourly and processing costs.
- Use tagging and cost allocation to track usage by team, environment, or application for clearer accountability.
- Evaluate scheduled scaling for predictable traffic events to reduce overprovisioning and improve budget predictability.
FAQ
Reader questions
How is AWS Load Balancer pricing measured for Application Load Balancer?
Application Load Balancer pricing is measured in Load Balancer Capacity Units (LCU) per hour, plus data processed, TLS handshakes, and rule evaluations. You pay for the peak LCU in each hour, so traffic bursts and complex rules increase cost.
What drives cost differences between Application Load Balancer and Network Load Balancer?
ALB costs depend on LCU components like connections, bytes, and rules, while NLB costs are driven by flow-hour capacity and processed bytes plus Elastic IPs. NLB is optimized for high throughput and static IPs, whereas ALB focuses on Layer 7 routing and request‑level features.
Can I reduce AWS Load Balancer pricing by adjusting configuration settings?
Yes, you can lower costs by tuning idle timeout, consolidating listeners, reusing TLS certificates, optimizing health check intervals, and using connection reuse. Monitoring LCU and flow-hour metrics helps you align configuration with actual traffic patterns.
How are cross‑zone and data transfer charges applied to load balancer costs?
Cross‑zone load balancing may add fees if enabled, while data transfer costs depend on regions, inter zones, and internet egress. Architecting internal traffic with VPC endpoints and planning region selection can minimize unexpected network charges.