Airbnb's Migration to In-House Observability Platform
Airbnb Engineering details its strategic transition from third-party vendor-managed observability tools to a custom, in-house platform built on open-source Prometheus technology. Initially relying on external vendors, Airbnb faced escalating costs and limited control over data usage, which hindered optimization and developer experience improvements. To address these challenges, the company executed a complex migration involving the complete overhaul of its metrics infrastructure, including instrumentation, collection, storage, and visualization systems. This massive undertaking successfully migrated data across 1,000 services, encompassing 300 million timeseries, 3,100 dashboards, and over 300,000 alerts. The article highlights critical lessons learned, specifically contrasting an initial flawed strategy of tackling the most complex services first with a more effective approach that prioritized smooth customer transition and centralized migration before addressing dashboard improvements. By gaining end-to-end ownership of their observability stack, Airbnb achieved superior tooling, consistent data, and reduced mean time to detect and repair issues. This case study offers valuable insights for other organizations considering large-scale infrastructure migrations, emphasizing the importance of automation, strategic planning, and maintaining user trust during significant technical transitions.
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Airbnb's Migration to In-House Observability Platform
Airbnb Engineering details its strategic transition from third-party vendor-managed observability tools to a custom, in-house platform built on open-source Prometheus technology. Initially relying on external vendors, Airbnb faced escalating costs and limited control over data usage, which hindered optimization and developer experience improvements. To address these challenges, the company executed a complex migration involving the complete overhaul of its metrics infrastructure, including instrumentation, collection, storage, and visualization systems. This massive undertaking successfully migrated data across 1,000 services, encompassing 300 million timeseries, 3,100 dashboards, and over 300,000 alerts. The article highlights critical lessons learned, specifically contrasting an initial flawed strategy of tackling the most complex services first with a more effective approach that prioritized smooth customer transition and centralized migration before addressing dashboard improvements. By gaining end-to-end ownership of their observability stack, Airbnb achieved superior tooling, consistent data, and reduced mean time to detect and repair issues. This case study offers valuable insights for other organizations considering large-scale infrastructure migrations, emphasizing the importance of automation, strategic planning, and maintaining user trust during significant technical transitions.
The Airbnb Tech Blog - Medium