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Failure is inevitable: Learning from a large outage, and building for reliability in depth at Datadog

Failure is inevitable: Learning from a large outage, and building for reliability in depth at Datadog

After a major outage, we re-architected Datadog systems to degrade gracefully under failure. Here's what we learned—and how we’re building forward.

Inside Husky’s query engine: Real-time access to 100 trillion events

Inside Husky’s query engine: Real-time access to 100 trillion events

See how Husky enables interactive querying across 100 trillion events daily by combining caching, smart indexing, and query pruning.

From hand-tuned Go to self-optimizing code: Building BitsEvolve

From hand-tuned Go to self-optimizing code: Building BitsEvolve

Learn how we turned hot-path optimizations into a system for continuous, AI-assisted performance improvements and saved thousands of cores in the process.

code-profiling ai performance

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Latest Articles

Failure is inevitable: Learning from a large outage, and building for reliability in depth at Datadog

Failure is inevitable: Learning from a large outage, and building for reliability in depth at Datadog

Inside Husky’s query engine: Real-time access to 100 trillion events

Inside Husky’s query engine: Real-time access to 100 trillion events

From hand-tuned Go to self-optimizing code: Building BitsEvolve

From hand-tuned Go to self-optimizing code: Building BitsEvolve

code-profiling ai performance

Scaling down to speed up: How we improved efficiency of live process metrics by 100x

Scaling down to speed up: How we improved efficiency of live process metrics by 100x

infrastructure monitoring performance processes containers

Evolving our real-time timeseries storage again: Built in Rust for performance at scale

Evolving our real-time timeseries storage again: Built in Rust for performance at scale

metrics infrastructure monitoring database monitoring rust performance storage

How we tracked down a Go 1.24 memory regression across hundreds of pods

How we tracked down a Go 1.24 memory regression across hundreds of pods

How Go 1.24's Swiss Tables saved us hundreds of gigabytes

How Go 1.24's Swiss Tables saved us hundreds of gigabytes

go

How we built a real-time, client-side noise suppression library without server dependencies

How we built a real-time, client-side noise suppression library without server dependencies

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