But machine learning is not a one-size-fits-all approach to log-data analysis. Different machine-learning techniques are suited to different types of log data and to different analytical challenges.

Log data analysis helps organizations detect and remediate security threats, and meet regulatory requirements. Read more on how Wazuh aggregates and processes logs in real-time from monitored ...

Security managers don't always make the best use of their log collection and analysis tools, writes Anton Chuvakin of netForensics. He lists five common pitfalls and what to do about them.

Simply put, log data analysis means collecting, organizing, and arranging log data into a presentation easily understood by all.

Non-volatile storage of log data also opens the door to better infrastructure sizing projections through trend analysis. This allows managers to accurately gauge future growth patterns and perhaps ...

Unlock hidden SEO insights with log file analysis. Learn how to track crawler behavior, spot indexing problems, and optimize your site for search engines.

Likewise, “ELK” is used to describe a log analysis stack built from Elasticsearch for search functionality, Logstash for data collection, and Kibana for data visualization. All are open source.

Server log analysis can provide unparalleled insights into crawl prioritization, enabling SEO teams to finetune their crawl budget management for better rankings.