Datadog is strategically enhancing its DevOps capabilities through two recent acquisitions: Eppo, which provides feature flagging for application testing, and Metaplane, a data observability platform that leverages machine learning to manage data quality. Alongside these acquisitions, Datadog has launched open-source projects like Toto, an AI model focused on time-series data, aiding in anomaly detection and capacity planning. These initiatives allow organizations to better manage application features and ensure high data quality, crucial for effective AI model development.
Datadog is expanding its offerings through recent acquisitions, enhancing its DevOps portfolio with feature flagging and data observability, coupled with new open-source AI tools.
The acquisition of Eppo adds feature flagging to Datadog's Product Analysis suite, enabling DevOps teams to streamline testing and control access to new application capabilities.
Metaplane's data observability platform improves data quality management for AI development, crucial for organizations customizing AI models in their operational frameworks.
The introduction of open-source projects like Toto for anomaly detection enhances Datadog's capability to handle time-series data, addressing unique challenges in telemetry data.
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