Google Cloud Load Balancing VS Control-M for Mainframe

Google Cloud Load Balancing mentions (10)

• Tutorial HTTP Endpoints with GCP Function (2nd Gen) and Go

  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 / about 1 year ago

• How do I restrict calls to my API Gateway to only being accepted from 1 domain for security concerns?

  Set up a Load Balancer and Cloud Armor in front of your function, or. Source: over 1 year ago

• Using Global Cloud Load Balancer to Route User Requests to the Closest App Instance

  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

• Deploying a Mostly Serverless Website on GCP

  Cloud Load Balancing for distribution. - Source: dev.to / almost 2 years ago

• The Largest River: Part 1 - First Steps to Building a Globally-Distributed Application

  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 / almost 2 years ago

Control-M for Mainframe mentions (0)