3 years ago

Category: Software, Data

With the rise of data downtime and the increasing complexity of the data stack, observability has emerged as a critical concern for data teams, too.

As organizations grow and the underlying tech stacks powering them become more complicated (think: moving from a monolith to a microservice architecture), it’s important for DevOps teams to maintain a constant pulse on the health of their systems.

Data Observability, an organization’s ability to fully understand the health of the data in their system, eliminates data downtime by applying best practices of DevOps Observability to data pipelines.

Thanks to DevOps, we have an easy lens with which to view the importance of observability as applied data. By surfacing data downtime incidents as soon as they arise, the five pillars of Data Observability provide the holistic framework necessary for true end-to-end reliability.