Multi-agent architecture doesn’t just shape reasoning—it shapes network traffic and inference demand.
Agent topology is becoming an infrastructure concern.

Multi-agent architecture doesn’t just shape reasoning—it shapes network traffic and inference demand.
Agent topology is becoming an infrastructure concern.
A down database cannot corrupt your outbox. The transaction just doesn't happen: no row, no event, nothing half-written.
The worker resumes later. The consumer never acknowledged, so the broker redelivers.
It recovers on its own, until retention starts deleting things.
New arXiv paper proposes Assurance-Aware Semantic Scheduling (AAS) for tool-using agents, combining integer-program selection with dispatch-aware temporal scheduling. Across three generated workloads it yielded 1,075 of…
#Semiconductors #GPU #DistributedSystems
https://arxiv.org/abs/2609.34376
Learn how Temporal replay breaks after workflow changes and how versioning, patching, and replay testing keep long-running workflows safe. #distributedsystems
Announcing blob-stream: a Kafka alternative for no fuss, low cost high volume streaming
Discussion | lobsters | Author: dayanruben
Senior Software Engineer New Markets - EU — jobgether
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Brazil
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Parley: Federated, decentralised chat that speaks plain IRC
Discussion | hackernews | Author: davidcollantes
Building a high-performance data plane isn’t only about throughput.
Reliability, observability and failure handling are part of the architecture too.
Why Gusto hired Evil Martians for Sidekiq infrastructure
tech_blogs_evil_martians | Author: Irina Nazarova
This line of research was produced at @csunivie.bsky.social, @univie.ac.at with support from @fwf-at.bsky.social and CHIST-ERA.
#NeuromorphicComputing #SpikingNeuralNetworks #EdgeAI #FederatedLearning #DistributedSystems
A Million Agents Is a Distributed System Problem
Discussion | hackernews | Author: tonychang430
New post: Connection Pooling Is a Distributed Systems Problem binarycoders.wordpress.com/2026/09/24/c... #DatabaseScalability #DistributedSystems #Java
Uber redesigned M3DB shard placement with fixed-size subclusters to reduce the impact of node failures, maintenance, and scaling.
The approach limits shard dependencies, isolates replicas, and minimizes data movement.
What does “the cloud” actually look like? ☁️
@peterullrich.com deployed Elixir probes across 100+ datacenters to map the cloud.
Watch: https://youtu.be/GkqkJPi10cE
Next: Code BEAM Europe 2026 -> get your pass: https://codebeameurope.com#register
#Elixir #DistributedSystems #ElixirConf
Show HN: An atlas of system designs with interactive architecture diagrams
Discussion | hackernews | Author: mertkahyaoglu
Your retry logic is a denial-of-service attack you wrote yourself.
Backoff spreads retries in time but spreads every client the same way, so they arrive together and hit the service at its weakest second.
Jitter is one line. It's the one people skip.
Implementing a Phoenix PubSub Adapter with EventStore
tech_blogs_erlang_solutions | Author: Brian Underwood
Service A charged the card. Service B reserved stock. Service C emailed the customer. Then Service D fails.
There is no undo button here. You only go forward: refund, release, apologize.
Sagas make that explicit: one compensating transaction per step.
Research examines quantum processor output usability in classical computing environments for distributed quantum computer coordination, benchmarked with 96-qubit hardware.
Nancy is speaking at QCon San Francisco, Nov 16-18.