Google Cloud Load Balancing
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Unfortunately, the API we created is not suitable for anything but the most basic prototyping. For a real API, we will likely want to use our own domain. This appears to be quite complicated in GCP. We will need a Load Balancer, a serverless NEG and an API Gateway among some other components. See Getting started with HTTP(S) Load Balancing for API Gateway and HTTP(S) Load Balancing for API Gateway. - Source: dev.to / over 1 year ago
Set up a Load Balancer and Cloud Armor in front of your function, or. Source: over 1 year ago
In this article, I’ll show you how to configure a global cloud load balancer that serves as both a proxy and a load balancer. This type of load balancer comes with a single IP address that can be accessed from any location on earth and can route a request to the nearest (active!) application instance. - Source: dev.to / over 1 year ago
Cloud Load Balancing for distribution. - Source: dev.to / almost 2 years ago
While the precise features of the application are immaterial, the architecture is of primary importance. A lot of tools (and buzzwords) come to mind when trying to architect a modern web application. Assets can be served from a CDN to improve page load speed. A global load balancer can front all traffic, sending requests to the nearest server. Serverless functions and edge functions can be used to handle requests,... - Source: dev.to / about 2 years ago
nginx - A high performance free open source web server powering busiest sites on the Internet.
Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.
Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.
Splunk Enterprise - Splunk Enteprise is the fastest way to aggregate, analyze and get answers from your machine data with the help machine learning and real-time visibility.