Having this foundation in place, it's easy to extend this pattern to managed Kubernetes clusters such as Azure Kubernetes Service (AKS) or Google Kubernetes Engine (GKE). All you need from the managed Kubernetes cluster is the OIDC configuration endpoint, which in turn has the JWKs URL. With that, you can create the trust relationship in AWS or any other Service Provider and grant the relevant access to your... - Source: dev.to / about 2 months ago

Application Gateway for Containers is the evolution of the Application Gateway Ingress Controller (AGIC), a Kubernetes application that enables Azure Kubernetes Service (AKS) customers to use Azure's native Application Gateway application load-balancer. In its current form, AGIC monitors a subset of Kubernetes Resources for changes and applies them to the Application Gateway, utilizing Azure Resource Manager (ARM). Source: 11 months ago

Another option is to use Docker to facilitate the deployment to various cloud providers, or Kubernetes managed services such as Amazon EKS, Microsoft AKS, or others. - Source: dev.to / over 1 year ago

Instructions for setting up Kubernetes to run in your cloud provider of choice can be found in the documentation for each provider (for example, AWS, GCP, or Azure), but the YAML configuration files listed below should work across all providers, with minor adjustments for IP addresses and related fields. - Source: dev.to / about 2 years ago

This place will help you to get started on the Kubernetes and AKS, even if you have a piece of simple knowledge on the cloud computing concepts. - Source: dev.to / about 3 years ago

Cloud Storage: blog storage for static assets and media files. - Source: dev.to / 5 months ago

Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here. - Source: dev.to / 6 months ago

Google Cloud Storage{:target="_blank"} is a globally distributed object storage service offered by Google Cloud Platform. They provide trustworthy and scalable databases for storing large amounts of blob data. They also provide a way to optimize cost and performance with different storage classes and pricing options. - Source: dev.to / 11 months ago

Google Cloud Storage - https://cloud.google.com/storage/. - Source: dev.to / 12 months ago

Also, in terms of packing a pre-trained model you will probably want to puts weights, biases etc into S3 or similar object storage (https://cloud.google.com/storage etc) and load it on application start. Source: about 1 year ago