Azure Load Balancer
We implement Azure Load Balancer configurations that are predictable and production-ready: correct probe design, HA patterns, outbound strategy, and monitoring so traffic issues are visible fast.
- High Availability
- Health Probes
- Traffic Strategy
Health probe and failover design prevents the most common ‘it’s up but not working’ incidents.
Load Balancing Work We Deliver
Traffic distribution should match your failure modes and deployment strategy — not a default configuration.
Inbound & Internal LB Patterns
Public and internal load balancers aligned to application architecture and security requirements.
Probes & Failover
Health probes, rules, and session handling designed around real app behavior.
Outbound Strategy
SNAT planning, outbound rules, and patterns to avoid port exhaustion surprises.
Monitoring
Metrics, logs, and alerts for availability and connection health.
How We Implement Load Balancing
- 1
Traffic & Failure Mode Review
Understand how traffic flows, where it fails, and your HA expectations.
- 2
Design
Choose the right LB pattern and define probe rules and outbound approach.
- 3
Implement & Validate
Deploy with IaC, validate failover behavior, and test under load where needed.
- 4
Operate
Dashboards and alerts for degradation, plus runbooks for common incidents.
What You Get
Load balancer rules and probes aligned to application behavior.
Outbound strategy that avoids SNAT/connection issues.
Monitoring and alerting for availability and degradation.
Documentation and runbooks for support teams.
Common Issues We Fix
Bad health probes
Probes pass but the app is broken, or probes fail during normal deployment.
Outbound port exhaustion
SNAT limits cause intermittent failures to external services.
Unclear HA behavior
Failover is not tested and behaves unpredictably under stress.
Load Balancer Questions
Make Traffic Behavior Predictable
Share your architecture and current issues. We’ll propose a load balancing approach aligned to your HA and security goals.
Book a Call