Mutant Monitoring Systems (MMS) Day 3 – Analyzing Mutant Data with Presto

In the continuation of the Mutant Monitoring System (MMS) blog series, the third installment explores the integration of Presto, a distributed SQL query engine, with ScyllaDB to analyze mutant data for potentially malicious activity. The system is used to track mutants' behavior by examining heat signatures, with a reading over 20 suggesting possible malicious intent. The blog demonstrates how Presto can be utilized to query data and assess the activities of specific mutants, such as Jim Jeffries and Bob Loblaw, by analyzing their heat levels. Jim's elevated readings potentially indicate malintent, while Bob's readings suggest otherwise. The integration of Presto allows for efficient querying and analysis of large datasets, enabling quick responses to suspicious activities. The narrative also hints at future developments, focusing on preparing for disaster scenarios and ensuring the system's robustness against node failures.