Azure Blob Storage{:target="_blank"} is a scalable and highly available object storage service provided by Microsoft Azure. They offer various storage tiers, so you can optimize cost and performance based on your requirements. They also provides features like lifecycle management, versioning, and data encryption. - Source: dev.to / 11 months ago

An object storage system (e.g. Amazon S3, Azure Blob Storage, Google Cloud Platform Cloud Storage, etc.) makes it easy and simple to save large amounts of historical data and retrieve it for future use. - Source: dev.to / about 1 year ago

I want to share my experience unzipping large files stored in Azure Blob Storage using Azure Functions with Node.js. - Source: dev.to / over 1 year ago

- Optionally, use Blob Storage to host static content. Then you can add Azure CDN for faster access to it. Source: over 1 year ago

Alright so this one? https://azure.microsoft.com/en-us/services/storage/blobs/. Source: almost 2 years ago

Infrastructure as code (IaC) allows DevOps teams to define the end state of the required infrastructure and deploy it using a template-based approach. Public cloud platforms each provide proprietary IaC tools, such as Azure (ARM Templates and Bicep), AWS (CloudFormation), and GCP (Deployment Manager). - Source: dev.to / 12 months ago

Start with the google docs https://cloud.google.com/deployment-manager/docs. Source: over 1 year ago

Cloud Deployment Manager: Templated infrastructure deployment 🔗Link 🔗Link. - Source: dev.to / almost 2 years ago

When exploring options on how to deploy the architecture we briefly considered Google Cloud Deployment Manager. Upon further investigation we were led to use Terraform instead. It was evident that Cloud Deployment Manager did not have the necessary support for the resource types that we were trying to create. Many of the supported resource types were still listed in beta. - Source: dev.to / almost 2 years ago

Deployment Manager templates give declarative language choices rather than imperative ones; this means that DevOps teams may tell Deployment Manager what a final deployment should look like, and GCP will automatically utilize the tools and procedures. When an excellent deployment method is created, it is saved so that it may be repeated and scaled on demand. Source: about 2 years ago