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 20 Aug.
Reduce SAST false positives with agentic evaluation and Bits Memories
Learn how Bits AI in Datadog Static Code Analysis uses repository-wide reasoning and custom context to help make security triage faster and more accurate.
Agentic test processes, LLM benchmarks, and other notes on agentic coding from Galapagos Island
I've been using AI fairly heavily since last November and the whole thing is a funny experience . An agent will do something that, if a human did it, you'd immediately fire them. My reaction, of course, is to act as if this is great and spin up a thousand agents so they can do even more of that. Mid...
Hardware-Rooted AI Security That Won’t Slow You Down
AI has transformed how organizations operate, driving unprecedented levels of productivity and innovation. However, AI adoption can be impeded by concerns...
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.
The effect distribution: The missing piece in experimentation programs
Learn about the importance of considering the effect distribution when running experiments.
Mastering Agentic Techniques: AI Agent Reinforcement Learning
Reinforcement learning (RL) is central to aligning language models, from reinforcement learning with human feedback (RLHF) within AI assistants to newer...
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
How we measure data completeness at scale
Learn how Datadog helps ensure data completeness at scale, enabling accurate alerts and safer automated decisions across distributed pipelines.
Three internal tools Datadog built with AI that improved developer experience and system performance
At Datadog, we don’t just use AI to ship customer products. It also enables internal projects and performance wins that help our engineers and systems do their jobs better and faster. Learn more in this blog.
Accelerate investigations with AI in Datadog Incident Response
Investigate incidents with Bits Investigation as a fellow responder, receive AI-generated summaries in chat, and capture critical decisions made on bridge calls.
Designing GPU-Accelerated Query Engines with NVIDIA GQE
GPU-accelerated query engines are often constrained by memory and I/O bandwidth. NVIDIA hardware advances—including high bandwidth memory (HBM), NVIDIA...
Optimizing a Neural Reconstruction Pipeline Using NVIDIA Nsight Developer Tools
NVIDIA Omniverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such...
How ScyllaDB’s Trie-Based Index Delivers Up to 3X More Throughput
By transitioning from separate summary and index files to a prefix tree, we optimized cache efficiency, reduced disk I/O, and reduced memory overhead
Discord is Now on Meta Quest: Reach Out to Your Servers While in VR
Starting today, Discord is now available to download directly from Meta’s Horizon App Store. No more sideloading. No more using the web app. Grab it using the link in this blog, or at discord.com/download.
Cost Attribution in Discord’s API
Discord's API spans 1700+ endpoints across hundreds of Kubernetes deployments. The challenge: tracking per-feature hosting costs without restructuring. Jim Benton helps explain how Discord tackled the situation.
How Redpanda Cloud Topics rethinks Kafka compaction
Compaction can overwhelm poorly sized Kafka clusters, leading to full disks and maxed-out CPUs. Learn how Redpanda's Cloud Topics architecture redesigns compaction to cut redundant work, reduce cloud storage costs, and preserve the Kafka semantics you rely on.
Datadog acquires Adaptive ML
Datadog has acquired Adaptive ML, a platform for building, owning, and deploying specialized AI agents and models.
Debug and evaluate your AI app from your coding agent with Datadog Agent Observability
Learn how to give your coding agent access to Datadog Agent Observability data to classify failures, run RCA, bootstrap evaluators, and generate fixes.
5 pitfalls to avoid when measuring DevEx in the AI era
Don’t mistake AI adoption for productivity. Learn how to avoid 5 common pitfalls when measuring DevEx, with practices from Datadog engineering
ScyllaDB 2026.2: DynamoDB Streams and Vector Search, Trie Indexes, and Strongly Consistent Tables
ScyllaDB 2026.2 brings a combination of GA new features, exciting experimental features, and multiple stability and external use case improvements.
How to Govern Autonomous Agents in Enterprise AI Factories
AI agents are quickly moving beyond chat. They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours on...
GenPage: Towards End-to-End Generative Homepage Construction at Netflix
Authors: Lequn Wang , J iangwei Pan , and Linas Baltrunas Figure 1. Autoregressive homepage generation. GenPage builds a Netflix homepage one row or entity at a time, each one conditioned on what’s already on the page and the user’s context. Introduction The Netflix homepage is the first thing users...
Preparing for OMB M-26-14: How Datadog supports federal logging maturity
Learn how Datadog helps federal agencies prepare for OMB M-26-14 by providing centralized telemetry data, threat detection, and automated incident response.
Datadog achieves GovRAMP High authorization
Datadog achieves GovRAMP High authorization, bringing unified observability and security to state and local government agencies for critical systems.
Deploy a Production-Ready NVIDIA AI-Q Blueprint on Oracle Cloud Infrastructure
AI agents have changed a lot in the last two years. The first could only answer one question at a time. Then came multi-turn chat, where the model could keep...