Cleaning up Cluster Logs in Databricks

<p>In any data engineering or analytics environment, managing logs is a crucial task. Logs provide valuable insights into the health and performance of your clusters, but they can also consume valuable storage space if not managed properly. In this blog post, we will guide you through the process of cleaning up cluster logs in Databricks, a popular big data and machine learning platform.</p> <h1>Why Clean Up Cluster Logs?</h1> <p>Cluster logs are generated by Databricks clusters to record important events, errors, and diagnostic information. While these logs are essential for troubleshooting and monitoring cluster performance, they can accumulate over time and occupy a significant amount of storage space. Here are some compelling reasons to regularly clean up your cluster logs:</p> <p><a href="https://medium.com/@bandarusridhar1/cleaning-up-cluster-logs-in-databricks-2dc19e11012d"><strong>Read More</strong></a></p>