In Azure, "load balancing" refers to a service that distributes incoming network traffic across a group of backend servers (like virtual machines) to ensure no single server becomes overloaded, thereby improving application performance and availability by distributing workloads across multiple resources. The term load balancing refers to the distribution of workloads across multiple computing resources. Load balancing aims to optimize resource use, maximize throughput, minimize response time, and avoid overloading any single resource.
Azure Load Balancer can either be public load balancer or internal load balancer.
Public Load Balancer: Used for internet-facing applications.
Internal Load Balancer: Used for internal applications, not exposed to the internet.
Uses of Azure Load Balancer:
High Availability: Ensures high availability by distributing traffic across multiple resources.
Scalability: Enables scalability by adding or removing resources as needed.
Improved Responsiveness: Improves responsiveness by directing traffic to the closest available resource.
Fault Tolerance: Provides fault tolerance by automatically removing unhealthy resources from rotation.
Security: Enhances security by hiding backend resources from public access.
Load Balancing for Web Applications: Load balances web applications, ensuring efficient traffic distribution.
Best Practices for Using Azure Load Balancer:
Use Health Probes: Regularly monitor the health of backend resources.
Configure Session Persistence: Ensure user sessions are directed to the same backend resource.
Use Multiple Backend Pools: Separate applications or services into different backend pools.
Monitor Performance: Regularly monitor load balancer performance and adjust configurations as needed.
Stay with me as I take you on the various steps on how to create a load balancer in Azure.
STEP 1: On Your Azure portal, search for Load Balancer.
STEP 2: On load balancer page click +create.
STEP 3: Input your resource or create one if none is available and give your instance name.
Leave other parameters as default and click next for Frontend IP configuration.
STEP 4: Frontend IP Configuration.
On the frontend page click add frontend, enter Frontend name, choose your Vnet and subnet and click save.
STEP 5: Click Next: Backend Pools.
Backend pool refers to a group of virtual machines or instances within a virtual machine scale set that are designated to receive and process incoming traffic from a load balance.
Click Add a Backend Pool.
Provide a Name, Select Virtual Machines and add the VMs to the pool.
Click Add, then Save and Next: Inbound Rules.
STEP 6: Configure Load Balancing Rules.
Click Add a load balancing rule.
Set:
Name: arigurule
Frontend IP: Select the one created earlier -arigu_IP_config
Protocol: TCP.
Port: (e.g., 70 for web traffic).
Backend Port: Same as Frontend Port.
Backend Pool: Select the one created earlier - arigubackendpool
Health Probe: Create a probe
Session Persistence: None (or as required).
Click save and click on review + create
STEP 7: Click on create.
Wait for validation to be pass before clicking on create.
STEP 8: Wait for deployment to complete, then click on go to resource.
Finally here goes our load balancer titled myloadbalancer.
In summary azure load balancer distribute workloads effectively across multiple virtual machines and services reduces downtime risks and improves application responsiveness, even during peak traffic. By following these steps, you can successfully and easily set up a Load Balancer and ensure a resilient infrastructure in Azure.
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