Load Balancing
Distribute traffic, maximize availability, and scale applications globally with Google Cloud Load Balancing.
What is Load Balancing?
Load balancing is a networking solution that distributes incoming traffic across multiple backend resources, such as virtual machines, containers, or on-premises servers. By spreading requests efficiently, load balancing ensures no single resource is overwhelmed, improving application reliability, performance, and scalability.
Google Cloud Load Balancing is a fully managed, software-defined service that provides global and regional load balancing for your applications. It supports HTTP(S), TCP/SSL, and UDP traffic, and leverages Google’s global infrastructure to deliver low-latency, high-availability solutions for both internal and external workloads. With features like autoscaling, cross-region failover, and integrated security, Cloud Load Balancing is designed for modern, distributed, and mission-critical applications.
Architecture
Key Components
Frontend (IP/Proxy)
The entry point for client requests, exposing a single anycast IP address and handling protocol-specific termination (HTTP(S), TCP/SSL, UDP).
Backend Services
Groups of compute resources (VMs, containers, endpoints) that process traffic. Backend services define health checks, session affinity, and autoscaling policies.
Health Checks & Rules
Automated probes that monitor backend health and forwarding rules that map frontend traffic to backend services, ensuring high availability and resilience.
Key Capabilities
Global Anycast IP
Serve users from the nearest Google Cloud region using a single anycast IP address for low-latency, global reach.
Integrated Security
Protect applications with DDoS defense, SSL offload, and Google Cloud Armor integration for advanced threat mitigation.
Autoscaling & Failover
Automatically scale backend resources and reroute traffic during failures to maintain high availability and performance.
Advanced Traffic Management
Leverage content-based routing, session affinity, and weighted load balancing for precise control over traffic distribution.
Common Use Cases
Related Topics
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