Integration of BigPanda and Cribl for AIOps

This solution brief outlines the integration of BigPanda and Cribl to enhance situational awareness in AIOps. It details how Cribl facilitates the collection of observability data from various endpoints and APIs, while ensuring data quality governance by eliminating low-value elements. The document describes BigPanda's capabilities in cross-source correlation, which utilizes AI and machine learning to correlate alerts and provide critical context. It emphasizes the importance of transforming complex observability data into a normalized stream, which aids in enriching alerts and simplifying incident response. The brief also highlights the need for data hygiene and manipulation to standardize and enrich diverse data formats, ultimately improving IT governance. Additionally, it discusses the benefits of automating workflows to enhance operational efficiency and reduce mean time to resolution (MTTR). The integration aims to manage observability storage needs effectively while controlling costs and improving the overall visibility of IT environments.