Field Signal · Curated Reading
The Engineering
Signal.
High-signal field notes, architecture teardowns, and engineering writing from 50 publications. A focused reading queue for becoming a stronger end-to-end engineer. Updated 19 Aug.
Turn And Face The Strange
We’re Fly.io, a public cloud platform that is both our favorite way to put an app on the Internet and our favorite way to safely let a frontier agent coding harness cook. This is a post about our company, the future, and Sprites, which are computers for agents that you can check out right now. This ...
Drag, drop, done: a visual composer for Redpanda Connect
A first look at the new visual Pipeline Builder for Redpanda Connect (preview), plus a roundup of recent CDC and connector updates.
Offloading I/O to Dedicated Cores: An Asymmetric io_uring Backend for Seastar and ScyllaDB
We moved low-level I/O execution off application cores to dedicated networking cores using Seastar’s new asymmetric_io_uring backend. Explore the architecture design, trade-offs, and benchmark results.
What Matters Most for NoSQL Migrations
How to prioritize the things that matter most for planning, executing and de-risking your NoSQL database migration
Deploy agents you can trust with centralized AI governance
Discover why organizations are struggling to deploy and scale agentic systems, and how a centralized AI governance platform can help you trust and scale agents.
In-House LLM Serving at Netflix
By AI Platform’s Model Runtime team and Inference team Introduction Most organizations consume LLMs through hosted APIs. Netflix went further — we run the full stack ourselves, from model deployment through inference, inside our existing production environment rather than a separate ML silo. Some of...
Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization
Hierarchical Interest Representation is a research area for Meta Ads. We’re exploring an upstream representation layer over the universe of Ads entities – users, advertisers, products, services – learning unified embeddings that connect users’ inferred interests with the breadth of what advert...
Building a Custom Metrics Exporter for Kubernetes
Kubernetes ships with built-in awareness of CPU and memory, but most real-world scaling decisions depend on signals that live entirely outside that narrow window: how many messages are waiting in a queue, how long the last batch job took, how many active WebSocket connections a pod is holding. When ...
Build Durable Chat Memory for RAG Using ScyllaDB and LangChain
How to replace LangChain's in-memory chat history with ScyllaDB — so your RAG chatbot retains context across restarts and scales across replicas
Full CDC semantics land in the Iceberg output for Redpanda Connect
Full CDC semantics in Iceberg mean the lakehouse reflects what the source database looks like right now, not what it looked like during last night’s batch window. Get to know the latest addition to Redpanda Connect.
Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned
By Parth Jain , Rakesh Sukumar , Yingwu Zhao , Renzo Sanchez-Silva & Nathan Fisher A deep dive into the engineering challenges of building a real-time service dependency map at Netflix scale: from streaming architectures and distributed aggregation pipelines to time-travel queries and the method...
Operating AI/ML Workloads on Kubernetes: A Headlamp Plugin for Kubeflow
Kubernetes has quietly become the default platform for AI and machine learning. Whether you run notebook servers for data scientists, schedule distributed training jobs, tune hyperparameters, or orchestrate multi-step ML pipelines, those workloads increasingly land on a Kubernetes cluster. Kubeflow ...
Kubernetes Dashboard to Headlamp: A Step-by-Step Guide
1. Before you start: know what is changing Kubernetes Dashboard and Headlamp both show what is running in a cluster, but they work differently. When Headlamp runs on the desktop, it uses your existing kubeconfig to connect to one or more clusters and can be extended with plugins. When Headlamp runs ...
Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler
TL; DR At Meta’s scale, a few milliseconds of latency degradation can have a significant negative impact on ads performance. When a Linux kernel upgrade risked regressing latency across Meta’s ad serving fleet, we turned to sched_ext — the upstream, BPF-based extensible scheduling framew...
Untitled
The Agentic Data Plane is the governance and runtime layer that connects your AI agents to everything they act on. Learn what it does, why existing tools can't replace it, and what to look for in an enterprise-grade one.
ScyllaDB Is Now Supported in MCP Toolbox for Databases
Connect your AI agents to ScyllaDB using the new ScyllaDB integration in MCP Toolbox for Databases
Announcing etcd v3.7.0
This article is a mirror of the original announcement Today, SIG etcd is releasing etcd v3.7.0 , the latest minor release of the popular distributed key-value store and core Kubernetes component. v3.7 ships the long-requested RangeStream feature, delivers several other performance improvements, remo...
Agent Memory at Monster Scale with Mem0 and ScyllaDB Cloud
Combine Mem0’s memory management with ScyllaDB’s persistence features to deploy large-scale AI agents
Discord Patch Notes: July 7, 2026
Check out the finer details of the more technical fixes implemented into Discord recently.
Stream Oracle changes to ClickHouse in real time
A hands-on walkthrough of the new Oracle input in Redpanda Connect. No Debezium, no Kafka Connect runtime, no JVM.
ScyllaDB vs Aerospike, Wide-Column vs. Key/Value
Wide-column flexibility doesn’t have to come at the expense of performance -- see where the two models differ, where each one wins, and why you no longer have to choose
Real-time Change Data Capture with Redpanda Connect and MySQL
A step-by-step tutorial on how to stream every insert, update, and delete from your database using MySQL and a faster, simpler alternative to Kafka Connect.
Meta’s AI Storage Blueprint at Scale
Over the past several years, model capabilities and training dataset sizes have experienced exponential growth. During the past year or so, the time between new-frontier-model releases has gone down from months to weeks. Reliable and fast access to storage is important to both the speed and computat...
Cutting P99 Latency 1000X During Connection Storms by Hardening ScyllaDB Admission Control
ScyllaDB successfully mitigated performance-degrading connection storms by optimizing caching, throttling, and password hashing to achieve a 1000x reduction in tail latency
10 Years of Meta’s Commitment to Python
This year marks Meta’s 10th consecutive year as a sponsor of the Python Software Foundation (PSF), the charitable organization dedicated to advancing, supporting, and protecting the open-source Python programming language and the community that sustains it. Python is one of the world’s m...