Engineering

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.

Computing Accurate Percentiles with DDSketch

Introducing DDSketch, the first fully-mergeable, relative-error quantile sketching algorithm with formal ...

Secure Publication of Datadog Agent Integrations with TUF and in-toto

How to guarantee end-to-end security when using automation to package and publish Datadog Agent integrations

Introducing Kafka-Kit: Tools for Scaling Kafka

Today, we're open-sourcing Kafka-Kit, a toolset for scaling and recovering Kafka.

Using Datadog APM to improve the performance of Homebrew

Using Datadog to find performance bottlenecks, and contrasting tentative solutions using performance ...

Cgo and Python

How the new Datadog Agent written in Go runs Python checks.

What Product Designers Can Learn From Explanatory Journalism

How to be a better designer by being a better explainer.

Secure (and usable) multi-AWS account IAM setup

If you are part of the team managing the AWS infrastructure at your organization, you’ve likely had to wrestle ...

Robust Statistical Distances for Machine Learning

Designing powerful outlier and anomaly detection algorithms requires using the right tools. Discover how ...

Scaling Support with Vagrant & Terraform

The Datadog Solutions Team reproduces problems that customers run into while they try using our many ...

Improving Cloud Security Visibility with ChatOps

Highlights of our recent work to improve our cloud-based monitoring and alerting pipeline.

Piecewise regression: when one line simply isn’t enough

A piecewise regression can model multiple trends in a single data set. Learn how Datadog automates piecewise ...

Hackathon Project: Viewing Datadog metrics in Minecraft

At Datadog we see and gather metrics everywhere by using Datadog to monitor our applications and ...

Protobuf parsing in Python

Recently we extended the Datadog Agent to support extracting additional metrics from Kubernetes using the ...

Being a Solutions Engineer at Datadog

Solutions Engineers at Datadog have to stay on top of what’s going on within the company and outside.

The Trouble with Mounting

When some of our customers reported that their agents were freezing, sometimes for hours at a time, we tracked ...

Engineering spotlight: Marie-Laure Bardonnet

It might surprise you to learn who built most of the prototype of the newest Datadog feature. Read more about ...

Redux-Doghouse – Creating Reusable React-Redux Components Through Scoping

Today, we're open-sourcing Redux-Doghouse, a library for Redux that helps you scope components so that they ...

Cheering on coworkers: Building culture with Datadog dashboards

One of our colleagues, Christian, is participating in a tremendous 6-day-run challenge. Yes, you read that ...

Restroom Hacks

Do you ever walk to the bathroom across the office only to discover that it's in use? Then you've got to ...

Consul at Datadog

We've been using Consul for about 18 months at Datadog and it's an important part of our production stack. In ...

Releasing czlib and zstd Go Bindings

To commemorate the third annual GopherCon US in Denver this week, we're releasing cgo bindings to two ...