
Amazon S3
AWS Lambda
Google Cloud Storage
Amazon CloudFront
Amazon EC2
DigitalOcean
Amazon AWS
DynamoDB
SocketCluster
Socket.io
Pusher
Ably
PubNub
SignalR
Faye
NATS
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.
Amazon S3Based on our record, Amazon S3 seems to be a lot more popular than SocketCluster. While we know about 214 links to Amazon S3, we've tracked only 16 mentions of SocketCluster. 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 / 4 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 / 5 months ago
All fine-tuning used Amazon SageMaker Training Jobs — 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 / 6 months ago
This is basically the principle behind https://socketcluster.io/ scalability; the sharding of channels across available brokers is pseudo-random. It uses a hash function for determinism but the distribution looks essentially random. - Source: Hacker News / 3 months ago
I started building something pretty obscure about 14 years ago; https://socketcluster.io/ an open source, WebSocket-based RPC + pub/sub library with a focus on in-order async stream-processing with backpressure monitoring. It didn't start out like that. Initially, it was just another WebSocket library with a focus on making it easier to scale to multiple processes. It's kind of mind-bending to me though that it... - Source: Hacker News / 3 months ago
I've been advocating for this approach for years. You can't avoid race conditions without using some kind of queueing mechanism and you need backpressure to measure queue capacity. I built this into every aspect of https://socketcluster.io/ - From pub/sub channels, RPCs to event listeners. - Source: Hacker News / 3 months ago
It's interesting reading this. Preventing these kinds of concurrency issues is exactly why I built https://socketcluster.io years ago. Though it solves the problem at the app layer rather than the storage layer. But not many developers care about these race conditions it seems. It's not just an issue with SQL but a more general issue with coding. This is a great example because it shows how concurrent executions... - Source: Hacker News / 4 months ago
Https://socketcluster.io/ has had such stream implementation and backpressure management since at least 2019;. https://github.com/SocketCluster/writable-consumable-stream. - Source: Hacker News / 6 months ago
AWS Lambda - Automatic, event-driven compute service
Socket.io - Realtime application framework (Node.JS server)
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.
Amazon CloudFront - Amazon CloudFront is a content delivery web service.
Ably - The realtime platform that just works. We power more WebSocket connections than any other pub/sub platform, serving over 2 billion devices monthly.