Datadog

Hardening eBPF for runtime security: Lessons from Datadog Workload Protection

• Guillaume Fournier eBPF has opened up new capabilities for observability, networking, and security. • But when you run it in production across thousands of environments and kerne

Breaking up a monolith: How we're unwinding a shared database at scale

• Shared relational DBs simplify early growth but create coordination headaches as teams scale. • Schema changes become risky because the database is both data store and API contra

How we scaled fast, reliable configuration distribution to thousands of workload containers

• Datadog handles millions of logs per second, requiring instant config updates across thousands of containers. • User‑defined log parsing rules are applied immediately, demanding

Detecting faulty deployments: Our journey from unlabeled data to supervised learning

• Deployments drive 70% of incidents, making rapid fault detection critical for modern DevOps. • Datadog’s Automatic Faulty Deployment Detection uses APM telemetry to spot problema

Squeezing every millisecond: How we rebuilt the Datadog Lambda Extension in Rust

• Rebuilt Datadog Lambda Extension in Rust, slashing cold start latency by 82%. • Reduced memory footprint by 40%, cutting usage from 55 MB to just 7 MB. • Shifted from heavyweig

Husky: Efficient compaction at Datadog scale

• Husky layers over object storage, using fragments to batch trillions of daily events. • Metadata per fragment lets queries locate relevant data without scanning entire store. • D