Application delivery infrastructure decisions used to be simple — buy an appliance, rack it, done. Cloud adoption broke that simplicity, and most IT teams now run a mix of on-premises, cloud-native and hybrid workloads that each want something different from their load balancing layer.
On-Premises Still Has a Place
For workloads with strict data-residency requirements, predictable traffic patterns, or existing capital investment in hardware, an on-premises load balancer remains the straightforward choice. You control the box, the licensing is usually simpler to reason about, and there is no dependency on a third party's control plane for a function this critical.
The trade-off is scaling. Capacity planning has to happen ahead of demand, and a sudden traffic spike is a hardware problem, not a configuration change.
Cloud-Native Load Balancing Trades Control for Elasticity
Cloud provider load balancers scale automatically and integrate tightly with their surrounding ecosystem, which is genuinely valuable for workloads with variable traffic. The cost is usually reduced portability — configuration and features are often provider-specific, and moving workloads later means re-architecting this layer too.
Egress costs and per-rule pricing also add up in ways that are easy to underestimate at proposal stage and uncomfortable to discover on the first full month's invoice.
Hybrid Is Where Most Real Environments Sit
Few organisations are purely one or the other. A platform that runs consistently across on-premises, virtualised and cloud environments avoids the situation where each environment needs its own separate expertise, its own separate rule set, and its own separate incident-response playbook.
That consistency is usually the deciding factor for teams managing infrastructure across more than one location or more than one cloud provider.
Application Delivery Is More Than Load Balancing
SSL offload, WAF functionality, and global server load balancing across sites are frequently needed alongside basic traffic distribution. Evaluating a full application delivery platform rather than a point solution for load balancing alone tends to reduce the number of separate tools an infrastructure team has to operate and monitor.
Decide on Requirements, Not Trends
Data residency, existing skill sets, budget model preference (capex versus opex) and how many environments need consistent management should drive the decision — not which approach is currently fashionable. A hybrid platform gives the option to run either model, or both, without a forced re-architecture later.
