Multy is an open-source tool that makes it easy to deploy the same infrastructure configuration on different clouds.
While tools such as Terraform are great for allowing users to deploy any resource in any cloud, they require infrastructure teams to know all the necessary providers inside-out.
This is changing with Multy. Instead of writing the same configuration for each provider, Multy offers a single cloud-agnostic API that handles the complexities behind the scenes to deploy your infrastructure on any cloud.
Multy is available as a Terraform provider so you can see the resource reference and some examples on the Terraform documentation page.
Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
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Hey! I'm not sure what's the article you are talking about but I can give you a perspective as a co founder of https://multy.dev (also open source). Source: almost 2 years ago
High-level overview about building in multi-cloud and how multy helps to make it easier. - Source: dev.to / about 2 years ago
You can use it through a Terraform provider right now. If you're interested, you can get an API key at https://multy.dev, we'd love to get some feedback! Source: about 2 years ago
When dealing with image processing, we can use S3 and our own transformers, but in order to simplify development, better to use some free SaaS solution. We can rely on it when dealing with a common set of problems. Every image uploaded can be dynamically transformed to any thumbnail size, file format, and quality so we are able to test different settings that best fit user expectations. All images can be... - Source: dev.to / 12 days ago
The meta-data and model artifacts from experiment tracking can contain large amounts of data, such as the training model files, data files, metrics and logs, visualizations, configuration files, checkpoints, etc. In cases where the experiment tool doesn't support data storage, an alternative option is to track the training and validation data versions per experiment. They use remote data storage systems such as S3... - Source: dev.to / 13 days ago
In this tutorial, I will walk you through building a quick static site by doing a static build using ReactJS & create-react-app, then show you how to deploy that static site on AWS using S3 buckets as well as how to cache it & add SSL certificates with CloudFront CDN & Certificate Manager. - Source: dev.to / 23 days ago
The main stars for deploying WASM on S3 are CloudFront and of course S3. Those two services will do the heavy lifting with our compiled WASM distribution. - Source: dev.to / about 1 month ago
Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / about 2 months ago
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