Chaos Engineering and monitoring are intertwined practices aimed at enhancing system reliability by intentionally creating failures and observing their impacts. The integration of Gremlin with Datadog facilitates this process by allowing teams to visualize Chaos Engineering experiments alongside relevant metrics, enhancing the correlation between cause and effect. This integration enables users to answer crucial questions about their systems' resilience and improve alert mechanisms. The collaboration also introduces features like Datadog Events, which provide context and insights into system behavior, and plans to allow users to halt attacks automatically when critical alerts are triggered. Gremlin users can monitor detailed metrics at the Gremlin-agent level, integrating these with existing Datadog dashboards for comprehensive system analysis. This integration, driven by customer demand, aims to empower users to proactively address potential risks before they impact end-users, with ongoing feedback and improvements anticipated.