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.
Monitor Apigee X API traffic and security with Datadog
Learn how to monitor Apigee X with Datadog so you can track API traffic, latency, anomalies, and security posture and catch issues before clients do.
How Mapfre Insurance modernized fraud claims with Amazon EMR Serverless
Insurance fraud remains a significant challenge for the insurance industry because fraudulent claims can increase loss costs, reduce trust, and consume investigation capacity that could otherwise be focused on serving customers. Traditional fraud detection approaches typically rely on rules-based co...
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 ...
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 framework — to bui...
Unlocking the future of video data: March Networks cloud storage on AWS
Enterprise video surveillance is operating at an unprecedented scale as organizations across retail, banking, quick-service restaurants (QSR), convenience stores, and transportation networks generate petabytes of video data across thousands of distributed locations. As retention requirements grow an...
Preparing for the post-quantum era: Discover and prioritize now
As organizations prepare for the post-quantum era, it may seem natural to immediately dive into quantum-safe cryptography migration efforts.
Better tools made Copilot code review worse. Here’s how we actually improved it.
How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence. The post Better tools made Copilot code review worse. Here’s how we actually improved it. appeared first on The GitHub Blog .
Announcing the public beta of Vault Kubernetes key management
Announcing the public beta of Vault Kubernetes key management, enabling Kubernetes to use Vault Enterprise as a KMS provider for etcd encryption.
Making agentic token costs visible in production
Learn where agentic token costs come from, how to reduce them across tool definitions, session history, and retrieval loops, and how to monitor spend.
Specification-driven composition for flexible data workflows
Specification-driven composition addresses a common scalability bottleneck in data pipelines. Data pipelines often start as simple scripts, but as they grow, you duplicate transformation logic and small changes cascade across multiple workflows. Copying and modifying data transformation logic across...
Building resiliency into Boundary session recording
Build resilient, tamper-evident audit trails using Boundary session recording to ensure durable, verifiable capture of privileged activity despite failures.
Automating cross-repo documentation with GitHub Agentic Workflows
Explore how the Aspire team turns merged product changes into SME-reviewed docs pull requests, closing the gap between release and documentation. The post Automating cross-repo documentation with GitHub Agentic Workflows appeared first on The GitHub Blog .
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...
Protect AWS Strands Agents with Datadog AI Guard
Monitor and help protect AWS Strands Agents by using Datadog AI Guard to evaluate prompts, model responses, and tool calls inline.
Monitor your .NET MAUI apps with Datadog RUM
Use the Datadog .NET MAUI SDK to monitor crashes, errors, ANR events, network performance, and user sessions across iOS and Android apps.
S&P Global’s innovative disaster recovery strategy using Amazon FSx for NetApp ONTAP snapshots
In this post, we explain how S&P Global Market Intelligence implemented an innovative disaster recovery solution for their Capital IQ platform using Amazon FSx for NetApp ONTAP. This solution enables immediate failover to read-only mode in a secondary region within 15 minutes, followed by full r...
DASH 2026 recap: Product news, sessions, and highlights
Catch up on the Datadog product and feature announcements, technical sessions, customer stories, and community activities from DASH 2026.
Monitor watchOS and visionOS apps with Datadog RUM
Monitor crashes, errors, and user sessions on watchOS and visionOS by using Datadog RUM with fully deobfuscated stack traces and no separate SDK required.
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.
The effect distribution: The missing piece in experimentation programs
Learn about the importance of considering the effect distribution when running experiments.
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...
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.