Elastic Common Schema: The journey so far

Since its introduction in 2019, the Elastic Common Schema (ECS) has rapidly evolved to facilitate consistent data structuring in Elasticsearch, growing from 279 fields in ECS 1.0 to 762 fields in ECS 1.9. ECS enables broad application of analytics content, such as dashboards and machine learning jobs, by offering customizable data structuring that supports analysis from diverse sources. The community-driven evolution of ECS has led to the addition of new fields and categories, enhancing its application in IT operations, security analytics, and application performance monitoring. The schema's extensive adoption across various sectors, including its integration into Elastic Security and Elastic Observability, underscores its utility and adaptability. However, the complexity of mapping events to ECS remains a challenge, prompting ongoing efforts to streamline this process and improve compliance validation. The introduction of a request for comments (RFC) process has been instrumental in refining ECS, leading to significant developments such as the inclusion of Threat Intelligence fields. As ECS continues to develop, it remains a pivotal tool for organizations like Uber, enhancing their security investigations and enterprise defense strategies.

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