How Airbnb Uses Kubernetes

How Airbnb built a Kubernetes sidecar to deliver dynamic configuration reliably at scale.

Designing monitoring that works when everything else doesn’t.

How we built a storage system that ingests 50 million samples per second and stores 2.5 petabytes of logical time series data.

A production-tested approach for moving a large-scale metrics pipeline from StatsD to OpenTelemetry and Prometheus.

How we changed our Observability as Code alert review process and cut development cycles from weeks to minutes.

The article discusses how Airbnb manages dynamic configuration changes safely and reliably at scale.

This article details how Airbnb evolved the traffic management system for Mussel, their multi-tenant key-value store for derived data, from simple QPS-based rate limiting to a layered, adaptive qua...

Airbnb completely rearchitected Mussel, their core key-value store for derived data, migrating from v1 to v2 with a NewSQL backend.

The article discusses the evolution and modernization of Viaduct, Airbnb's data-oriented service mesh, highlighting its transition to open-source software.

The article discusses how Airbnb manages seamless upgrades of Istio across tens of thousands of pods and multiple Kubernetes clusters.

The article discusses Airbnb's innovative approach to achieving high availability with distributed databases on Kubernetes.

The article discusses Sandcastle, an internal prototyping platform developed by Airbnb that empowers data scientists, engineers, and product managers to create interactive data/AI applications.

The article discusses the migration of Airbnb's streaming processing architecture from Hadoop Yarn to Kubernetes using Apache Flink.

Airbnb successfully upgraded its web surfaces from React 16 to React 18 using a systematic approach called the React Upgrade System.

Airbnb's article discusses their centralized access management system designed to enforce the principle of least privilege at scale.

The article discusses how Airbnb has implemented dynamic Kubernetes cluster scaling to optimize cloud spending in response to fluctuating traffic demands.

This article discusses the architecture and functionality of Airbnb's data classification systems, Inspekt and Angmar, which automate the detection of personal and sensitive data and secrets in the...

The article discusses Airbnb's journey towards achieving cloud efficiency, focusing on the challenges faced due to rising AWS costs and the strategies implemented to manage and optimize cloud resou...

The article discusses Airbnb's innovative approach to managing Kubernetes infrastructure using a tool called Krispr, which facilitates the injection of infrastructure components into pods.

The article discusses Dynein, an open-source distributed delayed job queueing system developed by Airbnb to enhance the scalability and reliability of job scheduling.