From terabytes to insights: Real-world AI obervability architecture
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Consider maintaining and developing an e-commerce platform that processes millions of transactions every minute, generating large amounts of telemetry data, including metrics, logs and traces across multiple microservices. When critical incidents occur, on-call engineers face the daunting task of sifting through an ocean of data to unravel relevant signals and insights. This is equivalent to searching for a needle in a haystack. This makes observability a source of frustration rather than insight. To alleviate this major pain point, I started exploring a solution to utilize the Model Context Protocol (MCP) to add context and…
