Amazon S3
AWS Lambda
Google Cloud Storage
Amazon CloudFront
Amazon EC2
Amazon AWS
DynamoDB
Google App Engine
Postmake
Startup Stash
ToolSalad.com
Hyperping
Marketplace Stack
GoodBooks.io
MakerPeak
Most Recommended Books
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.
Postmake is a directory of tools, products, services, and resources curated to help you choose the best option for your projects or businesses. All tools are manually curated and reviewed before being added to the directory. You can also submit your own tool to the directory if it's a good fit.
Amazon S3
PostmakeNo Postmake videos yet. You could help us improve this page by suggesting one.
Based on our record, Amazon S3 seems to be a lot more popular than Postmake. While we know about 214 links to Amazon S3, we've tracked only 1 mention of Postmake. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 / 3 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 / 3 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 / 4 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 / 4 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 / 5 months ago
Postmake.io - A curated directory of 300+ tools and resources used by companies and startups all over the web. Built using Vue.js and Nuxt. - Source: dev.to / about 5 years ago
AWS Lambda - Automatic, event-driven compute service
Startup Stash - A curated directory of 400 resources & tools for startups
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
ToolSalad.com - A Curated Directory of 204+ Online Marketing Tools for Startups, Bloggers, SEOs, and Marketers.
Amazon CloudFront - Amazon CloudFront is a content delivery web service.
Hyperping - Cheap uptime and performance monitoring with detailed reporting and flexible alerting