Operations | Monitoring | ITSM | DevOps | Cloud

Datadog on Data Engineering Pipelines: Apache Spark at Scale

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. In addition to scale, Datadog infrastructure is multi-cloud on Kubernetes and the data engineering platform is used by different engineering teams, so having a good set of abstractions to make running Spark jobs easier is critical.

Why Seven.One Entertainment Group Chose Datadog RUM for Client-side Observability

Hear why Seven.One Entertainment Group, a subsidiary of ProSiebenSat.1 Media SE , which is Germany’s top commercial broadcaster, chose Datadog Real User Monitoring and how the solution enabled them to better understand client-side issues.

Datadog On Reliability Engineering

There are many different ways to implement Site Reliability Engineering (SRE). From team structures to roles and responsibilities to planning and prioritization flows, there’s no golden path for how to organize things. As Datadog has shifted from a startup to a quickly-growing public company, we’ve seen our own SRE practice evolve. With over 22,000 customers sending trillions of data points each day, keeping Datadog reliable is critical to our business.