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.

Contents

Load Balancing Software Articles

What Are Load Balancing Algorithms? All You Need To Know

Picture a restaurant host seating incoming guests in different parts of the restaurant to distribute the workload among the waitstaff. The host aims to ensure that no single server feels overwhelmed or becomes responsible for more tables than they can handle. This process also means guests receive timely service.

by Alyssa Towns

Reverse Proxy: How It Works, Examples, and Use Cases

In networking, a proxy acts as a middleman between the client and the server, managing requests and responses on behalf of the other devices.

by Sagar Joshi

What Is a Load Balancer? It's Important for App Performance

Having an app crash in the middle of shopping is frustrating.

by Sudipto Paul

Load Balancing Software Glossary Terms

Load Balancing

Load balancing is the process of dispersing traffic across servers to avoid overworking them. Learn more about the types and benefits.

by Alexandra Vazquez

Explore our Technology Glossary

Browse through dozens of terms to better understand the products you purchase and use everyday.

Find new features

Load Balancing Software Discussions

Which load balancing solutions have real-time health checks and automatic failover for redundant servers?

Hello G2 folks, we're looking at load balancers with real-time health checks and automatic failover across redundant servers, so a dead backend never reaches a user. What we're hoping to find:

Continuous health checks that catch a failing server fast
Automatic failover to healthy nodes with no manual step
Confidence it works before we actually need it

From the load balancing category:

AWS Elastic Load Balancing: health checks route only to healthy targets and redirect on failure automatically.
Google Cloud Load Balancing: reviewers say it continuously checks server health so only healthy servers get traffic.
Progress Kemp LoadMaster: health monitoring and templates give a quick read on virtual service health.
HAProxy: sophisticated health checks reviewers credit with removing unhealthy servers before users hit errors.
Azure Application Gateway: backend health checks that confirm whether servers are up.

For teams relying on this, whose health checks and failover actually caught a real outage? And how did you test failover before trusting it in production?

The way most teams actually test this, deliberately killing a server to confirm failover triggers, tests a different failure mode than the one that usually causes real damage. A killed server produces an unambiguous signal, no response at all, which a basic health check catches easily. The dangerous case in production is a server that's still technically answering health checks, still returning HTTP 200, but serving degraded or wrong results to real users, a "gray failure" that a simple health check configuration won't catch at all, since it's checking whether the server responds, not whether the response is actually correct. So "confidence it works before you need it" from a deliberate test and "it actually caught the outage that mattered" can be two different claims, and the gap between them is usually the health check's depth, whether it's just checking liveness or actually validating response correctness.

Answered: Amita Jain on September 1, 2026

Your answer

Which load balancers integrate seamlessly with AWS and Kubernetes-based infrastructure?

I'm comparing load balancers on how well they fit AWS and Kubernetes-based infrastructure, based on reviews. From the load balancing category:

F5 NGINX Ingress Controller: reviewers call it a default in the Kubernetes world for ingress, SSL termination, and routing. Did it hold up across your clusters?
Traefik: automatic service discovery for Docker and Kubernetes reviewers use as an entry point for EKS. Did dynamic config reduce your manual work?
AWS Elastic Load Balancing: tight integration with EC2, ECS, EKS, and Lambda. Did it slot into your AWS setup without extra glue?
HAProxy: works well in Docker and Kubernetes, though one reviewer wanted stronger Kubernetes-native service discovery. Did it fit your K8s workflow?

For AWS and Kubernetes teams, which integrated cleanly without custom plumbing? And where did you hit gaps in service discovery or dynamic config?

For AWS and Kubernetes environments, the strongest fit is usually the option that understands dynamic infrastructure without forcing you to maintain a separate configuration layer. I’d compare native EKS integration, service discovery, certificate handling, and how automatically routing updates as pods and services change.

Answered: Darshayita Thakur on August 31, 2026