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.
Spotlight on WG Device Management
The rising popularity of AI, Edge, and Telecommunications workloads on Kubernetes has led to new requirements for hardware management. We now need hardware specification beyond CPU time and memory allocations. This includes allocating GPUs, TPUs, network interfaces, and other hardware, sometimes aft...
Automatically enrich security logs with MITRE ATT&CK context before they reach your SIEM
Learn how Observability Pipelines enriches security logs with MITRE ATT&CK tactics and techniques before routing them to your SIEM or storage destination.
How Meta Engineered Ultra-Narrow Batteries for AI Glasses
Smart glasses like the Ray-Ban Meta and Oakley Meta Vanguards need to pack enough energy to power features like cameras, speakers, AI workloads, and even a display. But it all has to fit into the glasses’ temple arms. So how do you place a battery with enough power to run a pair of smart glasses [.....
How we migrated a live routing system using AI-assisted refactoring
Using AI-assisted refactoring, we migrated our live routing brain to a relational model, safely validating changes against live production traffic.
How to migrate feature flags without breaking production
Feature flag migrations have a reputation for stalling. Learn how to structure the process in a few steps: audit legacy flags, validate evaluation parity with shadow mode, and cut over with confidence.
Using Evaluation Frameworks with Agent Observability
Run DeepEval and Pydantic Evals natively in Datadog Agent Observability. Track regressions and connect eval scores to production traces.
Send Tailscale logs to Azure Blob Storage
Keep Tailscale logs with the rest of your security data.
Aperture: Accelerate AI adoption without the lock-in
Avoid AI lock-in with Aperture’s flexible, identity-aware AI stack
Spotlight on SIG Storage
In our ongoing SIG Spotlight series, we shine a light on the groups that keep the Kubernetes project moving forward. This time, we catch up with SIG Storage , the group responsible for persistent data, volume management, and the interfaces that connect Kubernetes workloads to the storage systems ben...
How Dropbox uses MCP and Dash to close the design-to-code security gap
Using an agentic AI system to surface threat models during code review and spot gaps between security requirements and implementation.
More Tailscale tricks for your jailbroken Kindle
Tailscale on jailbroken Kindles now supports proxies and SSH. And a plugin supports Kobos and Pocket Readers, too.
Store and search high-volume logs with ClickHouse and Datadog
Route logs to ClickHouse with Observability Pipelines and search them from the Datadog Log Explorer.
Redundancy only matters if you can reach it
HP is integrating Tailscale into Remote System Controller, giving administrators secure access to out-of-band management devices through their existing tailnet.
DASH 2026: Guide to Datadog’s newest announcements
A roundup of everything we announced at DASH 2026, from Bits AI and MCP Apps to Agent Observability and Journey Monitoring.
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements
A roundup of everything we announced at DASH 2026, including Datadog MCP Apps, Bits Code, AI Observability, and Pup CLI.
DASH 2026 End-to-End Observability: Guide to Datadog’s newest announcements
A roundup of everything we announced at DASH 2026, including Service Remapping, new RUM and APM Single Step Instrumentation options, and Pipeline Simulation.
DASH 2026 Operating at Scale: Guide to Datadog’s newest announcements
A roundup of everything we announced at DASH 2026, including proactive AI spend attribution, Disaster Recovery, and remote SDK upgrades.
DASH 2026 Security & Compliance: Guide to Datadog’s newest announcements
A roundup of everything we announced at DASH 2025, including Datadog’s new API authentication model, Bits AI Threat Hunting for Cloud SIEM, and Bits AI Security Analyst.
Investigate Kubernetes resources with Datadog MCP tools
Use Datadog MCP Server Kubernetes tools to help AI agents search resources, inspect manifests, and investigate Kubernetes issues.
Turn Datadog findings into automated code fixes with Bits Code
Learn how Bits Code can turn high-impact findings into reviewable code changes for engineers.
Monitor critical user journeys with Datadog Journey Monitoring
See how teams can monitor critical digital experiences from a single hub.
Automatically optimize database queries with Datadog Database Monitoring
Learn how you can automatically detect, validate, and fix slow queries with Datadog Database Monitoring, closing the loop from optimization to deployment.
Get reliable answers to business questions with Bits Data Analysis
Learn how Bits Data Analysis answers business questions using governed data context from Datadog.
Monitor Nebius AI Cloud with Datadog
Monitor Nebius AI Cloud workloads with Datadog. Centralize logs, track GPU performance, trace LLM apps, and get unified multi-cloud observability.
Monitor OVHcloud with Datadog
Centralize OVHcloud logs, host metrics, and APM traces in Datadog for consistent visibility across your entire multi-cloud environment.