"In the article, Uber describes how it has replaced a monolithic, on-premises monitoring stack with a modular cloud native observability platform built around open source technologies and APIs. The authors explain that the old system relied on heavyweight components and manual configuration, which could not keep pace with rapid changes across offices, data centres and cloud environments. They state that they have now built a flexible data ingestion pipeline, a central alert ingestion application"
"The post explains that automation is a large part of Uber's new approach to observability. In the blog, the team explains how its Dynamic Config application automatically redistributes polling workloads across regions and deploys configuration changes globally via APIs rather than by having engineers making manual changes. They frame the monitoring fleet as a programmable surface that engineers can influence by adding metadata and policies."
Uber replaced a monolithic on-premises monitoring stack with a modular, cloud-native observability platform built on open source technologies and APIs. A flexible data ingestion pipeline, a central alert ingestion application, and a dynamic configuration service route telemetry, normalize alerts, and keep collector configurations aligned with live network inventory. Automation is central: a Dynamic Config application redistributes polling workloads across regions and deploys configuration changes globally via APIs, eliminating manual changes. The monitoring fleet is treated as a programmable surface influenced by metadata and policies. The CorpNet Observability Platform monitors routers, switches, power distribution units and other infrastructure supporting collaboration and enterprise applications.
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