Logging the right way
summary
Shows concrete patterns: use Python's logging with lazy formatting and exception info, adopt structured JSON logs and send via Fluentd/Logstash to ELK, add correlation IDs for request tracing, and rotate files with TimedRotatingFileHandler instead of ad hoc deletion. Demonstrates a 512 MB microservice producing compact logs, explains how to filter noisy events and keep metrics-ready fields, and gives ready-to-copy config snippets and shell commands that actually worked in production.
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