Flightcontrol.dev
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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.
Flightcontrol.dev
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Since DHH has been promoting the 'do-it-yourself' approach, many people have fallen for it. You're asking the right questions that only a few people know they need answers to. In my opinion, the closest thing to "reclaiming the stack" while still being a PaaS is to use a "deploy to your cloud account" PaaS provider. These services offer the convenience of a PaaS provider, yet allow you to "eject" to using the... - Source: Hacker News / almost 2 years ago
Flightcontrol.dev - Deploy web services, databases, and more on your own AWS account with a Git push style workflow. Free tier for users with 1 developer on personal GitHub repos. AWS costs are billed through AWS, but you can use credits and the AWS free tier. - Source: dev.to / over 2 years ago
Have you seen https://www.flightcontrol.dev/? It might help you out with that infrastructure issue with the ease of PaaS! Source: over 3 years ago
Flightcontrol.dev is also pretty interesting if for some reason you want to deploy directly on AWS. Source: almost 4 years ago
Flightcontrol.dev is what you're looking for. Source: about 4 years ago
TLS at the API boundary encrypts the payload in transit, but your application is responsible for what happens to the document after the response arrives. If you're writing the rendered PDF to disk, a message queue, or cloud storage, that persistence layer needs its own encryption at rest. An unencrypted file sitting in an Amazon S3 bucket with overly permissive ACLs falls outside what the API provider's TLS covers. - Source: dev.to / about 2 months ago
SAM CLI generates the SAMCodeUriServices mapping so that each collection value resolves to its own build artifact. At package time, those paths become Amazon S3 URIs. I don't need to manage any of this. - Source: dev.to / about 2 months ago
Fine-tuning adapts an FM to a specific use case with proprietary training data. Titan, Cohere, and Meta models support fine-tuning via Amazon Bedrock. Text models need labelled prompt-completion pairs; image models need Amazon Simple Storage Service (Amazon S3) paths linked to descriptions. Secure training data with Amazon Virtual Private Cloud (Amazon VPC) + AWS PrivateLink. - Source: dev.to / 2 months ago
You need to understand vector stores for semantic and hybrid search using Amazon OpenSearch Service and Amazon Simple Storage Service (Amazon S3). Prompt caching helps reduce costs by reusing previously processed prompts. Amazon Bedrock Prompt Management simplifies the creation, evaluation, versioning, and sharing of prompts to help you get the best responses from foundation models. Flow orchestration with Amazon... - Source: dev.to / 3 months ago
All fine-tuning used Amazon SageMaker Training Jobs โ no instance provisioning, no SSH, no manual teardown. You provide a training script and an S3 dataset path, specify the instance type, and SageMaker handles the rest. - Source: dev.to / 4 months ago
Appliku - Deploy Django and Python apps on servers you own. We manage the servers, you just push code.
AWS Lambda - Automatic, event-driven compute service
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
Amazon CloudFront - Amazon CloudFront is a content delivery web service.
Pulumi - Cloud Infrastructure for any cloud using languages you already know and love.
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.