Because pretty soon those won't be separate groups of people
Stream Processing: Continuous Processing of Data Streams
Explore the Stream Processing design pattern for continuous asynchronous data flow, enhancing real-time data processing capabilities in enterprise applications using Clojure and leveraging functional programming principles.
Introducing Tap: Repository Synchronization Made Simple | Bluesky
Just about every app built on AT needs data from a repository at some point. For many use cases – feed generators, labelers, bots – streaming live data through a Relay or Jetstream works well. But some applications need to go beyond what Jetstream was designed for, like tracking specific subsets of a repo, automatically backfilling a database when adding new repos to monitor, or even mirroring the entire Atmosphere.
Local-First Software: Taking Back Control of Our Data | a mini-doc
AI Bros Have Gone Too Far...
The promise of ATproto is social media without corporate overlords
Local-first software: You own your data, in spite of the cloud
A new generation of collaborative software that allows users to retain ownership of their data.
Owning media again - Kedara.eu
This year, one of my aspirations is to rely less on the big streaming services for my entertainment. Why? Well, for one thing, if we give too much power to large corporations by getting overly …
Peter Van Hardenberg - Local First: the secret master plan
Bluesky Firehose
Real-time Jetstream analytics for sentiment, hashtags, and network health.
What is a Group Host? - at:// pizza thoughts
Describes an hosting pattern for Atmospheric Group accounts, including group creation and app authorization flows
ATOM: AT Protocol Over MoQ Transport
This document specifies how the Authenticated Transfer (AT) Protocol can leverage Media over QUIC Transport (MOQT) for efficient data synchronization across decentralized social networks. The AT Protocol's firehose event stream and repository synchronization mechanisms map naturally to MOQT's publish/subscribe model, enabling scalable relay infrastructure, priority-based delivery, and improved resilience for large-scale social data distribution. This specification addresses the challenges of the current WebSocket- based transport and demonstrates how MOQT's relay architecture, group-based caching, and multiplexed streams provide significant benefits for AT Protocol deployments at scale.
Jet Set Go - Sri's leaflets
Introducing firehose.stream - public Jetstream instances for the Atmosphere
