Google Cloud Load Balancing

The Google Cloud Load Balancing service is a managed one that is fully distributed, and software defined. Users of Google Cloud Platform (GCP) efficiently distribute tasks between various managed services. For both public and internal services, it ensures scalability, high availability, and control over network traffic. This article introduces load balancing, describes the various load balancers available from Google, and explains how to choose the best one for your needs.

Definition of Google Cloud Load Balancing

Load Balancing in the cloud is a managed service that is completely software-defined and distributed. The Google Cloud Load Balancer has several configuration options for balancing traffic across several app instances. Whether local or worldwide load balancing is required determines which of Google Cloud's native load balancers is ideal for deployment. Load balancing is employed to prevent the servers from becoming overloaded and ensure that all requests are processed quickly and smoothly. With Cloud Load Balancing, you can hide all of your resources behind a single IP address, whether for public consumption or use within a VPC.

Importance of Cloud Load Balancing

Load balancing is employed to prevent a single server from becoming overloaded and ensure that all requests may be processed quickly and smoothly. Google Cloud Load Balancing allows its users to reply to more than a million queries per second while still serving information from as close to their customers as feasible. Websites that receive a large amount of traffic today must be able to process and respond to thousands, if not millions, of requests from users or clients at once while still providing accurate text, photos, video, or application data.

Load balancing is employed to prevent a single server from becoming overloaded and ensure that all requests may be processed quickly and smoothly. Everyone has been frustrated while trying to see their preferred website, only to be met with lengthy loading delays, connection timeout issues, or media having to buffer. Load balancing really makes a splash in this scenario.

Many Forms of Google Cloud Load Balancers

GLB Stands for "Global Load Balancing."

With Cloud Load Balancing, you can hide all of your resources behind a single IP address, whether for public consumption or use within a VPC. Instead of storing all of a workload's traffic in a single data centre, global load balancing (GLB) spreads it out among multiple data centres' worth of connected server resources. The load balancers are available in the international edition of Google Cloud improve application performance by providing disaster recovery and better traffic control. Modern applications may better serve users across geographies when a global load balancer links servers and users in close proximity.

Regional Load Balancer on the Google Cloud

Users can improve performance and efficiency by distributing work throughout servers in the same region. While it's possible that a single server wouldn't be able to handle the volume, many companies get by strategically placing multiple servers in close proximity to their consumer bases. Google Cloud Load Balancing allows its users to reply to more than a million queries per second while still serving information from as close to their customers as feasible. For example, this could help speciality shops reach people in their immediate areas.

The ELB System (External Load Balancing)

Cross-region load balancing & content-based load balancing is both supported by external load balancing, as are managed instance groups that span multiple regions. Load balancing should be implemented externally to assist services at the application, web, and database tiers.

There is some contention between Google Cloud Load Balancer and ingress in Kubernetes and between load balancing and ingress more generally. The expenditures of using the public cloud can soon build up, as each service needs its own external IP address and load balancer. If you need fine-grained control over the ports your application utilizes, the best public cloud option is the Google Cloud Kubernetes load balancer.

To reduce the number of IP addresses required while still allowing each service to have its own name and/or URI for routing, many organizations are turning to Ingress and Google Cloud Load Balancer for Kubernetes.

Google's SSL Load Balancing Cloud Service

Inside a Compute Engine area, TCP traffic is balanced across a group of VM instances using a TCP/SSL (Transmission Control Protocol/Secure Socket Layer) load balancer. By employing this same globally scattered architecture, Google Cloud provides proxy-based network services for SSL traffic. Using either the TCP or SSL protocols, TCP/SSL load balancers distribute SSL (TSL) connections from users across many backend instances. If you're not using Google's premium network service tier, your SSL load balancer will only operate with backend servers that are physically located in the same area as the external IP address & forwarding rule.

Managing Traffic Through TCP Proxies

It enables consumers to connect all of their devices to a single IP address. TCP Proxy Load Balancing (TPLB) is a method of global load balancing that works well for non-HTTP traffic that doesn't require SSL offload. It has a global reach and runs on Google's public-facing servers (GFEs). The TCP proxy load balancer uses the user's location to determine which of several backends to employ. Backend servers for TCP proxy load balancers may be located in more than one geographical area. TCP proxy balancing refers to the practice of using a proxy server load balancer to distribute TCP internet traffic to instances within a virtual private cloud (VPC) network hosted by Google Cloud.

The protocol of the served traffic (SSL, HTTP, HTTPS, UDP, TCP, etc.) is an important factor in deciding whether to use internal or external load balancing.

The four External Load Balancing Choices are as Follows

• Balance traffic coming from many HTTP or HTTPS sources

• A TCP proxy that does not perform SSL offload for TCP traffic.

• An SSL offload proxy

• Distributing TCP/UDP traffic across a network.

Alternatively, Google Cloud Load Balancer (GCLB) have gained traction as a means of balancing traffic. Several cutting-edge companies today no longer build or keep up their own global load-balancing solutions. Google's cloud computing load balancing does not use DNS load balancing because it depends on DNS records expiring and being prefetched with client cooperation. Before a user connects, load balancing can be performed most efficiently and easily via DNS-based load balancing. Anycast DNS load balancing on Google Cloud instead uses DNS geolocation to direct users to the most conveniently located cluster.

Google's proprietary packet-level load balancer, Maglev, is optimized for conducting SSL termination or preserving client IP addresses all the way to the backend instances while still being lightweight. Although Google Front End Engines are used to construct the global HTTP(S) load balancer, which handles Layer-7 traffic at the network edge, Google Maglev is used to construct the regional NLB, which handles Layer-4 traffic.

Conclusion

Google Cloud Load Balancer doesn't rely on any one specific piece of hardware or instance, and it's able to perform its load-balancing duties without the usual hiccups caused by infrastructure limitations. When compared to competing alternatives, Google Cloud Load Balancer falls short in terms of true scalability and detailed performance analytics.