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Based on our record, AWS Fargate should be more popular than Google CLOUD AUTOML. It has been mentiond 44 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.
There are several no-code AI websites that you can use like Amazon SageMaker, Apple CreateML or Google AutoML. Source: about 1 year ago
GCP, on the other hand, offers two top options: Google Cloud AutoML, for beginners, and Google Cloud Machine Learning Engine, for handling tasking projects. GCP also provides Tenserflow and Vertex AI complicated machine learning abilities. - Source: dev.to / over 1 year ago
Just outsource the work to Google or Amazon. Source: over 2 years ago
We can also note the appearance of Machine Learning, creating dynamic processes over data that would have been tedious to analyse, either by hand or through specific code. This enables writing potentially complex behaviours with a few lines of code in some cases. Even then, there is some automation of it to the point where you only have to provide data to get working results. - Source: dev.to / almost 3 years ago
You might want to check out automl Google AutoML. Source: almost 3 years ago
I never had a case where cold starts mattered because either 1) it was the kind of service where cold starts intrinsically didnt matter, or 2) we generally had > 1 req/15mins meaning we always had something warm. 3) Also you can pay for provisioned capacity[1] if the cold start thing makes it worth the money, though also just look into fargate[2] if that's the case. [1]:... - Source: Hacker News / about 2 months ago
One great option in the serverless world for something like this is to run containers using AWS Fargate (https://aws.amazon.com/fargate/). Fargate is a service from AWS where you don't need to spin up or manage EC2 VMs to get access to compute. Also you don't need to pay for a container orchestration layer. You just provide a docker image and the specs of what you need to run it (cpu, ram, disk, etc) and AWS spins... - Source: dev.to / 3 months ago
As cloud-native architectures evolve, managing Kubernetes clusters becomes pivotal for maintaining optimal performance and security. Amazon EKS, combined with Fargate for serverless pod execution, offers a powerful solution. In this guide, we'll delve into best practices for EKS cluster upgrades with Fargate, providing a hands-on approach to ensure a seamless transition. Let's embark on the journey of mastering... - Source: dev.to / 4 months ago
AWS Fargate is pay as you go serveless compute for containers. You can use Fargate if you have small, batch, or burst workloads or if you want zero maintenance overhead of your containers, as this is all taken care of by AWS. In this post I will be talking about how to cost optimise your Fargate workloads and utilise Fargate Spot using Terraform. - Source: dev.to / 8 months ago
AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. AWS Fargate is compatible with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). - Source: dev.to / 10 months ago
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance container management service that supports Docker containers.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers