Amazon EKS VS Google CLOUD AUTOML

Docker swarm still exists, it still works, and some of these other container orchestrators are still hanging on, but for the most part, you’re using Kubernetes if you’re doing this stuff at work. Generally it's well-understood that kubernetes is hard to get right, and so most people use it via a managed provider like Elastic Kubernetes Service from AWS, Azure Kubernetes Service from MSFT, or Google Kubernetes... - Source: dev.to / 2 months ago

AWS Elastic Kubernetes Service (EKS) AWS Elastic Kubernetes Service (EKS) is a managed Kubernetes service provided by Amazon Web Services (AWS). It simplifies the process of deploying, managing, and scaling containerized applications using Kubernetes on AWS. EKS integrates with other AWS services, such as Elastic Load Balancing, Amazon RDS, and Amazon S3, providing a seamless experience for running containerized... - 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

Although I'll use Lambda functions in the examples, we can transfer the concepts to other compute resources, like EC2 instances, and ECS or EKS containers. - Source: dev.to / 9 months ago

The AWS managed Kubernetes service, EKS (Elastic Kubernetes Service, has the highest level of complexity amongst cloud offerings. - Source: dev.to / 9 months ago

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