How does layer 4 internal load balancing work in a three-tier application?
Layer 4 internal load balancing in a three-tier application is a important aspect of ensuring high availability, scalability, and performance in a cloud computing environment. In the context of Google Cloud Platform (GCP), layer 4 internal load balancing is achieved through the use of the Google Cloud Load Balancer service. This load balancing mechanism operates at the transport layer of the TCP/IP protocol stack and distributes incoming traffic across multiple backend instances within a virtual private cloud (VPC) network.
To understand how layer 4 internal load balancing works, let's consider a typical three-tier application architecture consisting of a frontend, an application layer, and a backend database layer. The frontend layer handles user requests, the application layer processes those requests, and the backend database layer stores and retrieves data.
When a client sends a request to the frontend layer, the request is first received by the layer 4 internal load balancer. The load balancer then performs a process called Network Address Translation (NAT), which replaces the source IP address of the client with its own IP address. This ensures that the response from the backend reaches the client through the load balancer.
Next, the load balancer uses a load balancing algorithm, such as round robin or least connection, to determine which backend instance should handle the request. This decision is based on factors such as the current load on each backend instance, their health status, and any session affinity requirements.
Once the backend instance is selected, the load balancer forwards the request to it. The backend instance processes the request and generates a response, which is then sent back to the load balancer. The load balancer, in turn, forwards the response to the client by replacing the destination IP address with the original client IP address using NAT.
Layer 4 internal load balancing also provides health checking functionality to ensure that only healthy backend instances receive traffic. The load balancer periodically sends health checks to the backend instances to verify their availability and responsiveness. If a backend instance fails the health check, it is temporarily removed from the pool of available instances until it becomes healthy again.
Furthermore, layer 4 internal load balancing supports session affinity, also known as sticky sessions, to maintain session state for clients that require it. With session affinity enabled, the load balancer ensures that all requests from a particular client are forwarded to the same backend instance. This is achieved by mapping the client's IP address to a specific backend instance based on a hashing algorithm.
Layer 4 internal load balancing in a three-tier application architecture ensures efficient distribution of incoming traffic across multiple backend instances. It leverages NAT, load balancing algorithms, health checks, and session affinity to provide high availability, scalability, and performance.
Other recent questions and answers regarding EITC/CL/GCP Google Cloud Platform:
- How to calculate the IP address range for a subnet?
- What is the difference between Cloud AutoML and Cloud AI Platform?
- What is the difference between Big Table and BigQuery?
- How to configure the load balancing in GCP for a use case of multiple backend web servers with WordPress, assuring that the database is consistent accross the many back-ends (web servwers) WordPress instances?
- Does it make sense to implement load balancing when using only a single backend web server?
- If Cloud Shell provides a pre-configured shell with the Cloud SDK and it does not need local resources, what is the advantage of using a local installation of Cloud SDK instead of using Cloud Shell by means of Cloud Console?
- Is there an Android mobile application that can be used for management of Google Cloud Platform?
- What are the ways to manage the Google Cloud Platform ?
- What is cloud computing?
- What is the difference between Bigquery and Cloud SQL
View more questions and answers in EITC/CL/GCP Google Cloud Platform