Load Balancing Software Resources
Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Load Balancing Software
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.
Load Balancing Software Articles
What Are Load Balancing Algorithms? All You Need To Know
Reverse Proxy: How It Works, Examples, and Use Cases
What Is a Load Balancer? It's Important for App Performance
Load Balancing Software Glossary Terms
Load balancing is the process of dispersing traffic across servers to avoid overworking them. Learn more about the types and benefits.
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Browse through dozens of terms to better understand the products you purchase and use everyday.
Load Balancing Software Discussions
Hi G2, I've been trying to figure out which load balancing option works best for a hybrid cloud setup where some traffic runs on-premise and the rest goes through AWS or Azure. It's a setup that comes up a lot and I wanted to see what the community has found. Sharing what I came across in the reviews and would love to hear from anyone who has actually run this in production.
Here's what I've been looking at:
- F5 NGINX stood out in cross-platform reviews for consistent behavior regardless of whether the backend is hardware or cloud. Open source means no separate license per environment. Does the configuration stay truly identical across both sides, or does some divergence creep in over time?
- F5 BIG-IP Local Traffic Manager (LTM) runs as a physical appliance on-prem and as a virtual edition in cloud environments, which reviewers specifically called out for hybrid setups. Policy and configuration can stay consistent across both sides.
- Progress Kemp LoadMaster is available as a virtual appliance, hardware appliance, or cloud deployment, that flexibility came up specifically in hybrid setup reviews. A consistent WAF policy across both environments was mentioned as a practical benefit.
- HAProxy kept appearing for teams that wanted the same configuration to work regardless of where it's running; no special handling needed for on-prem versus cloud backends in the same pool.
- Azure Load Balancer is the native Layer 4 option on the Azure side, with tight networking integration and solid TCP/UDP handling.
For teams running a hybrid setup, has the on-prem side of the configuration ever been the harder problem compared to the cloud side? Curious whether most teams end up running two separate tools or committing to one that handles both. And when something breaks in a hybrid setup, is the failure usually on the on-prem side, the cloud side, or in the routing between them?
In my experience the load balancer on either side is rarely the hard part, it's the network path between on-prem and the cloud that bites, the VPN or peering link and health checks that have to work across it. That's usually where a hybrid setup breaks, not the on-prem or cloud side on its own. What made it easier for us was running one tool with the same config in both places instead of stitching two native ones together. HAProxy was good for that, the same config worked whether the backend sat on-prem or in AWS, so there was no separate logic to keep in sync. Go with each cloud's native load balancer plus something separate on-prem and you end up maintaining two sets of rules, and the drift between them becomes its own problem.
Hi G2, I've been trying to figure out which load balancing option works best for a hybrid cloud setup where some traffic runs on-premise and the rest goes through AWS or Azure. It's a setup that comes up a lot and I wanted to see what the community has found. Sharing what I came across in the reviews and would love to hear from anyone who has actually run this in production.
Here's what I've been looking at:
- F5 NGINX stood out in cross-platform reviews for consistent behavior regardless of whether the backend is hardware or cloud. Open source means no separate license per environment. Does the configuration stay truly identical across both sides, or does some divergence creep in over time?
- F5 BIG-IP Local Traffic Manager (LTM) runs as a physical appliance on-prem and as a virtual edition in cloud environments, which reviewers specifically called out for hybrid setups. Policy and configuration can stay consistent across both sides.
- Progress Kemp LoadMaster is available as a virtual appliance, hardware appliance, or cloud deployment, that flexibility came up specifically in hybrid setup reviews. A consistent WAF policy across both environments was mentioned as a practical benefit.
- HAProxy kept appearing for teams that wanted the same configuration to work regardless of where it's running; no special handling needed for on-prem versus cloud backends in the same pool.
- Azure Load Balancer is the native Layer 4 option on the Azure side, with tight networking integration and solid TCP/UDP handling.
For teams running a hybrid setup, has the on-prem side of the configuration ever been the harder problem compared to the cloud side? Curious whether most teams end up running two separate tools or committing to one that handles both. And when something breaks in a hybrid setup, is the failure usually on the on-prem side, the cloud side, or in the routing between them?
In my experience the load balancer on either side is rarely the hard part, it's the network path between on-prem and the cloud that bites, the VPN or peering link and health checks that have to work across it. That's usually where a hybrid setup breaks, not the on-prem or cloud side on its own. What made it easier for us was running one tool with the same config in both places instead of stitching two native ones together. HAProxy was good for that, the same config worked whether the backend sat on-prem or in AWS, so there was no separate logic to keep in sync. Go with each cloud's native load balancer plus something separate on-prem and you end up maintaining two sets of rules, and the drift between them becomes its own problem.
I've been researching what enterprise load balancing platforms have the best support for zero-downtime deployments so engineering teams can push updates without customer-facing interruptions. It's one of those requirements that most tools list as supported, and I wanted to dig into what the real-world experience actually looks like across different options. Curious what people here have found.
Here's what I've been looking at, with ratings for reference:
- HAProxy (4.7 stars, 900+ reviews): Zero-downtime reloads were the standout in enterprise reviews; routing traffic away from a backend before it restarts was the main reason teams chose it for deployment-heavy environments.
- F5 NGINX (4.6 stars, 107+ reviews): Shows up frequently in microservices setups with rolling updates. Low memory footprint means it doesn't compete with application resources during a release.
- F5 BIG-IP Local Traffic Manager (LTM) (4.5 stars, 40+ reviews): Built for enterprise traffic management with connection draining and iRules for custom routing logic during deployments. Reviews from large enterprise teams cite it for coordinating traffic shifts across complex multi-tier application stacks.
- Progress Kemp LoadMaster (4.7 stars, 213+ reviews): Ease of configuration and built-in health templates for release visibility were the most cited reasons teams chose it over alternatives.
- AWS Elastic Load Balancing (4.5 stars, 95+ reviews): Graceful draining with configurable deregistration delay is the feature most cited for zero-downtime deployments. Auto Scaling integration means new instances come online before old ones are removed.
For teams pushing multiple releases per week, which of these has the lowest operational overhead during an actual deployment? I'm particularly curious whether anyone has measured how long the traffic drain takes before a backend can safely restart. And has anyone run into a case where the drain period itself became the bottleneck and ended up slowing release velocity more than expected?