When I first encountered network diagrams showing load balancers positioned behind firewalls, my immediate reaction was skepticism. After all, this architecture means:
- All inbound traffic must first traverse the firewall
- The firewall becomes a potential bottleneck
- Single point of failure concerns emerge
Here's a simple visualization of the traffic flow:
Internet -> Firewall -> Load Balancer -> Web Servers
The primary rationale becomes clear when we examine modern security requirements. Firewalls provide:
- Deep packet inspection
- Protocol validation
- Stateful connection tracking
Consider this Nginx configuration snippet that would sit behind such an architecture:
server {
listen 80;
server_name example.com;
# Only accept connections from firewall IP
allow 192.168.1.1;
deny all;
location / {
proxy_pass http://backend_pool;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}
}
While it's true that this adds latency, modern firewalls handle significant throughput. The tradeoff becomes:
Metric | LB Before Firewall | LB After Firewall |
---|---|---|
Security | Medium | High |
Performance | High | Medium-High |
Failover Complexity | High | Medium |
Major cloud providers follow this pattern. AWS's documentation explicitly states:
"Application Load Balancers should be placed in public subnets, protected by network ACLs and security groups acting as firewalls."
Here's a Terraform example for such a setup:
resource "aws_security_group" "alb_firewall" {
name = "alb_firewall"
description = "Allow HTTP/HTTPS to ALB"
ingress {
from_port = 80
to_port = 80
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
}
}
resource "aws_lb" "web" {
name = "web-alb"
internal = false
load_balancer_type = "application"
security_groups = [aws_security_group.alb_firewall.id]
subnets = aws_subnet.public.*.id
}
The firewall-LB combination enables sophisticated protection:
# Example WAF rule that complements firewall protection
SecRule REQUEST_HEADERS:User-Agent "@pm scanner crawler" \
"id:1001,phase:1,deny,msg:'Bad Bot Detected'"
This layered approach creates defense in depth where the firewall handles network-level threats while the load balancer manages application-layer concerns.
When implementing an F5 BIG-IP load balancer in a web server infrastructure, the placement decision between firewall and load balancer creates distinct traffic patterns. Let's examine the packet flow in both scenarios:
# Typical packet flow in firewall-behind-LB configuration:
Internet → F5 LB (VIP) → Internal Web Servers
# Packet flow in firewall-forward configuration:
Internet → Firewall → F5 LB (VIP) → Internal Web Servers
The primary rationale for placing the firewall first stems from defense-in-depth principles. Modern web applications face sophisticated attacks that require multiple security layers:
- Firewalls filter L3/L4 attacks before they reach the LB
- Web Application Firewalls (WAF) handle L7 protections
- LB maintains session persistence and health monitoring
While firewall placement does introduce potential bottlenecks, modern hardware mitigates these concerns:
// Sample throughput metrics (hypothetical):
Firewall-forward: 12Gbps throughput with 50μs latency
LB-forward: 15Gbps throughput with 35μs latency
The 20% throughput difference often becomes negligible when considering security benefits.
The single point of failure concern can be addressed through proper HA design:
# Example HA firewall configuration (Cisco ASA):
failover lan unit primary
failover lan interface failover GigabitEthernet0/3
failover key *****
failover link failover GigabitEthernet0/3
Major cloud providers demonstrate hybrid approaches that combine both models:
- AWS: Internet-facing ALB with security groups
- Azure: Application Gateway behind Network Security Groups
- GCP: Global Load Balancer with Cloud Armor WAF
For enterprises with F5 deployments, consider these best practices:
# F5 iRule example for additional security
when HTTP_REQUEST {
if { [HTTP::header User-Agent] contains "malicious-bot" } {
drop
}
pool web_pool
}
The optimal architecture depends on your specific threat model, performance requirements, and existing infrastructure.