AWS CloudFormation
AWS Lambda
Bamboo
Codeship
Terraform
Octopus Deploy
CircleCI
Google Cloud Deployment Manager
Banana.dev
Kobra
Clever Grid
mlblocks
Bookblock
GPU.LAND
Worklog
Boomi
AWS CloudFormation Banana.devNo Banana.dev videos yet. You could help us improve this page by suggesting one.
Based on our record, AWS CloudFormation should be more popular than Banana.dev. It has been mentiond 113 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.
Given AWS CloudFormation is AWS's native language and service for infrastructure as code, you will likely find more official quickstarts provided by AWS in the language. In addition to this, AWS Support will probably be more capable of assisting you with issues when you need help. AWS Support is essential for large enterprises, particularly those new to the cloud or slow to adopt. These types of organizations may... - Source: dev.to / 2 months ago
Today, I will show you how to build Amazon Location Service, which allows you to build location-based applications within your AWS environment using AWS Cloud Development Kit (AWS CDK) and AWS CloudFormation. I will also show examples of the recently popular CDK Migrate and AWS CloudFormation IaC generator. - Source: dev.to / 3 months ago
AWS CloudFormation: Speed up cloud provisioning with infrastructure as code. - Source: dev.to / 3 months ago
Infrastructure as Code (IaC) is an important part of any true hosting operation in the public cloud. Each of these platforms has their own IaC solution, e.g. AWS CloudFormation. But they also support popular open-source IaC tools like Pulumi or Terraform. A category of tools that also needs to be discussed is API gateways and other app-specific load balancers. There are applications for internal consumption,... - Source: dev.to / 4 months ago
Cloudformation (IaC) does not need to be introduced to anyone, plus if you read the previous blogpost, the terraform provider (CC) we used is based on Cloudformation. Moreover, you will notice a lot of similarities, after all, we are implementing the same scenario, but with a different tool. - Source: dev.to / 5 months ago
For the inference part, you can dockerise your model and use https://banana.dev for serverless GPU. They have examples on github on how to deploy and I’ve done it last year and was pretty straightforward. - Source: Hacker News / about 2 months ago
I want to first check the user's ID and only if the user has an active subscription then the request will be forwarded to my API on banana.dev else the request will be blocked at the middleware itself. Should I use Express JS for the middleware i.e. Authentication and forwarding requests? Is there any other better way to improve my project structure? Currently it looks like:. Source: 7 months ago
Hey! Would love to have you try https://banana.dev (bias: I'm one of the founders). We run A100s for you and scale 0->1->n->0 on demand, so you only pay for what you use. I'm at erik@banana.dev if you want any help with it :). - Source: Hacker News / about 1 year ago
CAN you do this in AWS? Of course, do they have a service that does exactly what this banana.dev does? Probably not. Source: about 1 year ago
I've been using banana.dev for easily running my ML models on GPU in a serverless manner, and interacting with them as an API. Although the principle of the service is sound, it is currently too buggy to take into production (very long cold boots, errorring requests, always hitting capacity). Source: about 1 year ago
AWS Lambda - Automatic, event-driven compute service
Kobra - Visual programming for machine learning, like Scratch
Bamboo - Bamboo is a continuous integration and deployment tool that ties automated builds, tests and releases together in a single workflow.
Clever Grid - Easy to use and fairly priced GPUs for Machine Learning
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.
mlblocks - A no-code Machine Learning solution. Made by teenagers.
