video1.0<iframe src="https://www.loom.com/embed/087e41cdbfd846a1b01f39a720e2cd2e" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/087e41cdbfd846a1b01f39a720e2cd2e-cbb965fe63ccf79e.gif171.283In this video, I present a dashboard called "first map" designed for monitoring real-time data of critical infrastructure distributed across various locations. Using Redis Streams for data ingestion and JSON for metadata, the system efficiently tracks anomalies, such as temperature hikes, and alerts users by turning the corresponding location pin red. This allows for quick identification and resolution of issues at specific centers. I encourage viewers to consider how such a dashboard could enhance their monitoring capabilities for large distributed systems. Please take a moment to reflect on how you might implement similar solutions in your own operations.