Enterprise-Grade Load Balancing Solutions
Ensure optimal performance and high availability for your applications with OneMind's robust load balancing services.
Scalable and Reliable Load Balancing
Load balancing is critical for distributing network traffic across multiple servers, ensuring no single server bears too much demand. OneMind's load balancers enhance application performance, reliability, and scalability.
Optimized Traffic Distribution
Efficiently manages incoming traffic to prevent server overloads.
Enhanced Application Availability
Minimizes downtime by rerouting traffic during server failures.
Scalable Infrastructure
Easily adapts to increasing traffic demands without compromising performance.
Load Balancing Levels
Infrastructure-Level Load Balancing :
Application-Level Load Balancing
NOTE : The cost is absorbed by the VM. There is no additional charge for using this feature with our setup.
Load Balancers by OneMind Services
OneMind Services offers a range of load balancing solutions tailored to meet diverse application needs:
Each solution is designed to ensure your applications are resilient, scalable, and perform optimally under varying traffic conditions.
Frequently Asked Questions (FAQs)
We support round-robin, least connections, IP hash, weighted distribution, and custom rules depending on the chosen load balancer (NGINX, HAProxy, etc.).
Yes. OneMind’s load balancers support SSL/TLS termination, offloading certificate handling from backend servers for better performance and centralized management.
Yes. Session persistence (via cookies, IP hash, or headers) is supported across most platforms—especially with NGINX, HAProxy, and Apache.
Yes. OneMind supports Layer 4 (TCP) and Layer 7 (HTTP/HTTPS) load balancing depending on the selected engine (HAProxy, NGINX, LiteSpeed, etc.).
Yes. Load balancers can be tightly coupled with auto-scaling groups, ensuring that new instances are automatically added or removed from the pool based on health checks or policies.
Yes. We support multi-region, hybrid cloud balancing via DNS-based or distributed load balancing setups. Specific solutions depend on topology and latency requirements.
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