Datadog on...

Let's Learn Together

In the process of building a monitoring and analytics platform that ingests trillions of data points a day, Datadog has learned many lessons about scalable, distributed systems in the cloud. We'd like to share those experiences with our community in this series: "Datadog on..."

Each episode will offer a conversation with the engineers who build Datadog. They'll share real-world experiences architecting, building, operating, and monitoring modern systems giving you actionable information you can apply at your organization. With plenty of time left for Q&A, we'd like you to join the discussion.

Upcoming Episodes

Datadog on Data Engineering Pipelines: Apache Spark at Scale

March 23, 2023

Alodie Boissonnet, Anton Ippolitov and Ara Pulido

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Datadog is an observability and security platform that ingests and processes tens of trillions of data points per day, coming from more than 22,000 customers. Processing that amount of data in a reasonable time stretches the limits of well known data engines like Apache Spark.

Past Episodes

Datadog on the Lifecycle of Threats and Vulnerabilities

January 12, 2023

Nick Frichette, Adam Stevko and Andrew Krug


Datadog on Building an Event Storage System

December 13, 2022

Ara Pulido, Guillaume Duranceau and Ryan Worl


Datadog on gRPC

September 29, 2022

Ara Pulido, Anthonin Bonnefoy and Antoine Tollenaere



Andrew Krug headshot

Andrew Krug

Head of Security Advocacy

Ara Pulido headshot

Ara Pulido

Technology Evangelist

Kirk Kaiser headshot

Kirk Kaiser

Developer Evangelist

Théo Guidoux headshot

Théo Guidoux

Software Engineer, Threat Detection

Anton Ippolitov headshot

Anton Ippolitov

Senior Software Engineer, Data Engineering Infrastructure

Alodie Boissonnet headshot

Alodie Boissonnet

Software Engineer, Historical Metrics Query