Azure Cloud - Load Balancer (8)

Azure Load Balancer is a cloud service that distributes incoming network traffic across multiple backend resources or servers. It operates at the Transport layer (Layer 4) of the OSI model and supports TCP/UDP-based applications. Azure Load Balancer provides high availability, scalability, and resiliency by distributing the traffic across healthy instances.

Key components and features of Azure Load Balancer include:

• Load Balancing Rules: Distributes inbound traffic based on defined rules, ensuring even distribution of traffic across backend resources.

• Health Probes: Continuously monitors the health of backend instances, directing traffic only to healthy instances to ensure high availability.

• Public Load Balancer: Exposes services to the internet, handling inbound internet traffic and distributing it to backend instances.

• Internal Load Balancer: Handles internal traffic within a virtual network (VNet), distributing traffic to backend instances without exposing services to the internet.

• Automatic Reconfiguration: Automatically adjusts to changes in backend instances, ensuring continuous availability and performance.

• Session Persistence: Supports session affinity, ensuring that subsequent requests from a client are routed to the same backend instance.

• Outbound Connections: Provides outbound connectivity for virtual machines (VMs) within a virtual network without public IP addresses.

• High Availability: Distributes traffic across multiple instances and regions to ensure high availability and fault tolerance.

• Scalability: Easily scales with the increase in traffic and resource demand.

• Security: Integrates with network security groups (NSGs) and other security features to protect traffic and resources.

Integrating Azure Load Balancer with SymphonyAI Service Automation enhances traffic management and application availability by automating processes, improving monitoring, and streamlining workflows. This integration helps automate routine tasks, improve monitoring and alerting, enforce compliance, and streamline workflows, ultimately leading to better management of load balancing resources and enhanced operational efficiency.

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