distributed-systems.
7 writings found
Latest Archives
Aurora DSQL Goes Global: What Multi-Region Consistency Means for You
Aurora DSQL expands to 16 regions with multi-region clusters. I break down why active-active consistency matters for distributed systems and what it changes for developers.
etcd v3.7.0 Released: RangeStream, v2 Store Removal and More
etcd v3.7.0 ships RangeStream RPCs, drops the legacy v2 store bootstrap, overhauls protobuf deps, and brings real CPU savings for Kubernetes clusters.
Cloudflare Meerkat: Building Consensus Without a Leader
Cloudflare's new Meerkat service uses QuePaxa to eliminate leader-dependent consensus bottlenecks across 330+ global data centers. Here's why it matters.
Meta's Adaptive Ranking Model: The Real Cost of Serving Trillion-Parameter Ads
Meta scaled ads recommendations to LLM complexity while keeping latency under a second. Here's why their inference trilemma solution matters beyond advertising.
Meta's RCCLX: Why AMD's GPU Communication Stack Just Got Interesting
Meta open-sources RCCLX with Direct Data Access and FP8 collectives for AMD GPUs. A deep look at what this means for multi-GPU AI workloads.
Meta's RCCLX: Why AMD GPU Communication Just Got Interesting
Meta open-sources RCCLX with Direct Data Access and low-precision collectives, potentially reshaping distributed AI workloads on AMD hardware.
Meta Open Sources RCCLX: AMD Gets Serious Performance Boosts for AI Workloads
Meta's RCCLX brings Direct Data Access and low-precision collectives to AMD GPUs, delivering 10-50% speedups for LLM inference on MI300X hardware.