Google Cloud Load Balancing
nginx
AWS Elastic Load Balancing
Azure Traffic Manager
Traefik
Citrix NetScaler
Azure Load Balancer
Azure Application Gateway
Azure Databricks
IBM Cloud Pak for Data
MyAnalytics
Arcadia Enterprise
MicroStrategy
MATLAB
Yandex.Metrica
Splunk Enterprise
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Based on our record, Google Cloud Load Balancing should be more popular than Azure Databricks. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 / almost 2 years ago
In the big data space, Azure offers Azure Databricks. This is an Apache Spark big data analytics and machine learning service over a Distributed File System. The distributed cluster of nodes running analytics and AI operations in parallel allow for fast processing of large volumes of data and integration with popular machine learning libraries such as PyTorch unleash endless possibilities for custom ML. - Source: dev.to / almost 3 years ago
https://azure.microsoft.com/en-us/services/databricks. - Source: Hacker News / about 3 years ago
nginx - A high performance free open source web server powering busiest sites on the Internet.
IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.
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.
Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.