Engineering | Datadog Official Blog

Building Highly Reliable Data Pipelines at Datadog

A look at how Datadog builds and operates data pipelines reliably at scale.

Rethinking UX for AI-driven Alerting

The introduction of advanced statistical methods is reshaping the UX of alerts

Improving trust with Datadog Log Management

Integrating Amazon Simple Email Service with Datadog to improve observability.

2023-03-08 Incident: A Deep Dive into Our Incident Response

This post sketches out our incident response process, where it succeeded and where it stumbled on March 8, and what we learned along the way.

Making Fetch Happen - Building a General-purpose Query & Render Scheduler

Learn how we developed a new scheduling algorithm for data fetching and rendering and how we built it for use across our suite of Datadog products.

Husky: Exactly-Once Ingestion and Multi-Tenancy at Scale

A closer look at storage routing in Husky, Datadog's third-generation event storage system.

Performance Improvements in the Datadog Agent Metrics Pipeline

We’ve recently improved the raw performance of the Datadog Agent, leading to 20% less CPU use on Agents flooded with custom metrics.

DRUIDS, the Design System that Powers Datadog

Learn about Datadog's repeatable design elements that we've documented in our design style guide called DRUIDS.

Engineering Spotlight: Tay Nishimura

Introducing Husky, Datadog's Third-Generation Event Store

Husky is an unbundled, distributed, schemaless, vectorized column store. Here's how we built it—and why.

How Datadog's IT Team Automated Account Inactivity and SaaS Spend Management

Employees at all modern software companies use a ton of outside pieces of software to do their jobs. Learn how Datadog's IT team expanded Clarity to automate monitoring these accounts for inactivity and optimizing how much we spend on them.

It's always DNS . . . except when it's not: A deep dive through gRPC, Kubernetes, and AWS networking

The story of a seemingly simple issue that led us into the hidden complexities of gRPC, DNS, and Kubernetes.

Using the Dirty Pipe Vulnerability to Break Out from Containers

See Datadog's proof of concept exploit for breaking out from unprivileged containers using the Dirty Pipe vulnerability.

Profiling Improvements in Go 1.18

How several patches and fixes in Go 1.18 bring improved profiling accuracy.

How Datadog uses Datadog to gain visibility into the Datadog user experience

How the Datadog DesignOps team uses Datadog to understand our users and make well-informed design decisions