ReadMe recently undertook a project to improve its handling of HTTP logs by transitioning from Heroku's raw data stream to a more structured logging system using the ELK stack, specifically Elasticsearch and Kibana. Historically, ReadMe's logging practices were inefficient, lacking in valuable information and making issue tracking difficult. They enhanced their log management by using the Morgan package in Node to create customized logs containing more relevant data. To integrate these logs into Elasticsearch, they utilized Logstash with a tailored pipeline, leveraging Grok for data parsing, and established a log drain on Heroku to redirect logs to their local setup for testing. The deployment of this new logging infrastructure resulted in immediate operational insights, such as identifying a bug in frontend JavaScript that led to unnecessary API calls. The team at ReadMe found these changes beneficial for monitoring service health and troubleshooting, despite the author's admitted lack of expertise in the technologies involved.