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A load balancer does more than take turns sending requests to servers. It applies routing rules, chooses which backends are eligible, and directs new requests or network flows according to the product’s capabilities and configuration. Round robin is one possible target-selection algorithm—not the whole job.
What does a load balancer do?
A load balancer gives clients a contact point and distributes traffic across a group of backend resources. The important operational role is deciding where new traffic goes: which rule applies, which backend pool is relevant, and which members of that pool may receive traffic.
The extent of that control depends on the load balancer’s layer. An application-layer proxy can inspect HTTP request details and route accordingly. A Layer 4 load balancer can distribute TCP or UDP flows using network-level information without reading the application payload.
How does it decide where traffic goes?
First, it applies routing policy
With an AWS Application Load Balancer (ALB), a listener accepts connections on configured ports and protocols. Its rules are evaluated in priority order. Conditions can use URL paths, host headers, HTTP headers, methods, query parameters, or source IP addresses. A matching rule can direct a request to a target group, making it possible to route different parts of an application to separate services through one listener and load balancer. See AWS’s ALB overview.
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Then, it selects an eligible target
After an ALB rule selects a target group, the ALB chooses a registered target from that group. AWS documents round robin as the default target-selection algorithm and least outstanding requests as an alternative. This choice answers a narrower question—how to select among targets in the chosen group—than the listener rules answer.
Layer 4 can make a different kind of decision
Azure Load Balancer operates at Layer 4. Its default five-tuple hash uses source IP address, source port, destination IP address, destination port, and protocol to distribute TCP or UDP flows. Two-tuple and three-tuple modes are also available and can provide session affinity. Because it does not inspect application payloads, Azure Load Balancer cannot route by URL path, rewrite HTTP headers, or offload TLS. The Azure Load Balancer algorithm documentation explains the distinction.
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| Decision | AWS Application Load Balancer | Azure Load Balancer |
|---|---|---|
| Traffic unit | Application requests | TCP or UDP flows |
| Routing input | Listener-rule conditions, including HTTP request content and source IP | Network tuple fields; five-tuple is the default |
| Backend selection | Round robin by default, or least outstanding requests | Hash-based distribution; two-tuple and three-tuple modes support affinity |
| Application-payload inspection | Yes, for supported application-layer routing | No |
These are examples, not interchangeable implementations of one universal algorithm. Choose based on the traffic unit and routing inputs the application needs.
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Health checks affect eligibility
A health check tests a target according to configured criteria; it is not a guarantee that every application function is working. AWS ALB health checks are configured per target group and use HTTP or HTTPS GET requests. The configuration can include a path, interval, timeout, consecutive success and failure thresholds, and accepted response codes. A check against a port that is open but whose application is unable to serve requests may report a misleading picture.
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Azure Load Balancer probes can use TCP, HTTP, or HTTPS, depending on the SKU and configuration. For HTTP(S) probes, a response other than HTTP 200 is treated as a failure. Probe rules influence whether a backend receives new flows; they do not mean all active work instantly moves elsewhere. Azure documents cases in which established TCP flows can continue when all probes are down on Standard Load Balancer, while UDP behavior differs. The outcome must therefore be described in terms of SKU, protocol, and flow state, not as a generic “failed server” rule. See Microsoft’s Azure health-probe guidance.
All backends unhealthy does not always mean traffic stops
A critical AWS ALB exception: if every registered target in a target group is unhealthy, AWS says the ALB fails open and routes traffic to all registered targets regardless of health status. Do not assume that an unhealthy status always causes an ALB to stop sending traffic. The exact health-check configuration and all-targets-unhealthy behavior are described in AWS’s target-group health-check documentation.
Probe design is part of traffic policy
A probe should represent the health of the instance and the application service that is meant to receive traffic. Microsoft warns against probing through a backend appliance to another instance: a response from downstream can make an appliance appear healthy when it is not, or a downstream failure can mark it unhealthy and trigger cascading effects. A probe can also be intentionally used to remove an instance from new-flow service during maintenance, so its meaning should be explicit.
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Microsoft’s current Azure probe documentation lists a five-second interval as the Azure portal’s default, while noting that deployment interfaces can have different defaults; it lists 30 seconds as the built-in timeout for HTTP/S probes. These are documented configuration values, not recommended universal settings. Review the actual probe configuration and the service’s response behavior before relying on either number.
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Why topology and existing connections matter
Backend eligibility is only part of availability. The zones in which a load balancer and its targets operate, and whether traffic can cross zones, affect where requests land. AWS requires an ALB to use at least two enabled Availability Zones and recommends multiple zones. Its cross-zone behavior affects how a load-balancer node distributes its share of client traffic among targets. AWS also documents a 60-second DNS entry TTL for Elastic Load Balancing; that is a service-specific documented value, not a general DNS rule. Details are in AWS’s Elastic Load Balancing overview.
A zonal shift is a separate AWS recovery control that moves a resource away from an impaired Availability Zone. It should not be confused with an algorithm such as round robin, and existing connections may take time to complete. More broadly, changing backend eligibility or routing new traffic does not necessarily migrate active sessions or erase their state.
What to compare when choosing a load balancer
- Layer and traffic unit: Does the service route individual application requests or distribute network flows? Does it need to inspect HTTP content, or is TCP/UDP pass-through sufficient?
- Routing inputs and algorithm: Which request conditions or tuple fields can influence placement? Is the selection algorithm configurable, and is session affinity required?
- Health model: Which probe protocol and path are supported? What response counts as healthy, how many failures change status, and what happens if every backend is unhealthy?
- Failure and topology behavior: How does the product handle zones, cross-zone distribution, fail-open or fail-closed cases, and established connections?
- Operational visibility: Can operators see health metrics or logs, register and drain targets, and verify that the probe represents the actual application service?
For Azure-specific component terminology, the Azure Load Balancer components overview describes the frontend IP configuration, backend pool, rules, and health probes. Those pieces make the control boundary concrete: the frontend is the contact point, rules map traffic to backend resources, and probes inform new-flow eligibility.
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