# How Best Egg Implemented a Reliable Data Mesh with Data Observability

DevFeed: [How Best Egg Implemented a Reliable Data Mesh with Data Observability](<https://devfeed.tech/articles/how-best-egg-implemented-a-reliable-data-mesh-with-data-observability-83038.md>)

Original publisher: [Read original article](<https://montecarlo.ai/blog-how-best-egg-implemented-a-reliable-data-mesh-with-data-observability>)

Author: Sydney Nielsen

Published: 2023-03-16T14:00:00Z

Content type: article

Language: en

Sources: [Monte Carlo](<https://devfeed.tech/sources/monte-carlo.md>)

Topics: [data](<https://devfeed.tech/topics/data.md>), [elementary-data compromise](<https://devfeed.tech/topics/elementary-data-compromise.md>), [data observability](<https://devfeed.tech/topics/data-observability.md>)

Tags: [accountability](<https://devfeed.tech/tags/accountability.md>), [data-mesh](<https://devfeed.tech/tags/data-mesh.md>), [data-observability](<https://devfeed.tech/tags/data-observability.md>), [governance](<https://devfeed.tech/tags/governance.md>)

## AI overview

Best Egg developed a data mesh to manage data across business domains, with data ownership and governance distributed beyond its central data team. It adopted Monte Carlo to monitor data freshness, volume, and schema changes and alert domain owners to issues. The team's experience also highlights stakeholder buy-in, governance councils, and collaboration with software engineering when defining data domains.

## Source excerpt

See how the fast growing fintech marketplace has matured their data stack and driven increased levels of data quality, trust, and governance.