Codezero
OneNeck IT Solutions
Uptima
Sirius
Skaled
MediaFire
Essintial
CompuData
Google Cloud Load Balancing
nginx
AWS Elastic Load Balancing
Azure Traffic Manager
Traefik
Citrix NetScaler
Azure Application Gateway
Charles Proxy
Boost development team productivity by leveraging existing Kubernetes infrastructure to create local environments that closely mirror production.
Eliminate configuration errors, onboarding times, and guesswork debugging with logs to catch bugs earlier in the development cycle.
Codezero Google Cloud Load BalancingCodezero is recommended for software developers, DevOps professionals, and teams working with Kubernetes who are seeking to optimize their deployment processes. It is particularly beneficial for those who want to minimize the complexities of multi-cloud management and increase development agility.
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Based on our record, Codezero should be more popular than Google Cloud Load Balancing. It has been mentiond 20 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.
DISCLAIMER - I have no commercial affiliation with codezero.io - I just know some of the guys and I'm kind of a fan. Source: about 2 years ago
Hi there. Have you tried https://codezero.io? That's exactly what we help accomplish. Source: about 2 years ago
Yes, Koblime costs money to operate (~$200/mo) and I appreciate every one of my supporters but realistically, Koblime is supported by my day job at https://codezero.io. My interests are in embedded software and cloud computing and Koblime has been a really nice creative outlet for me. If hosting costs become too much of a worry, I can reach out to friends at Google or Microsoft and get some free startup credits as... Source: over 2 years ago
You can also use https://codezero.io intercept to debug containers locally. Source: over 2 years ago
Https://codezero.io for local+remote collaborative development. Source: almost 3 years ago
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 2 years ago
Set up a Load Balancer and Cloud Armor in front of your function, or. Source: over 2 years 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 2 years ago
Cloud Load Balancing for distribution. - Source: dev.to / almost 3 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 3 years ago
OneNeck IT Solutions - OneNeck provides a comprehensive suite of enterprise-class IT solutions that are customized to fit your specific needs.
nginx - A high performance free open source web server powering busiest sites on the Internet.
Uptima - QUOTE TO CASH Uptima is the leader in Quote to Cash transformations, which impact the pre-sales customer experience.
AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
Sirius - An open-source clone of Siri from UMICH
Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.
