Retention is a crucial factor in adopting a log management solution. For most organizations, 30 days is a perfect balance between having to access historical log data and the high cost of storage. However, some organizations need to retain logs for a much longer period of time, whether it’s to comply with regulations, perform frequent audits, or monitor changes to operations over time.
The global predictive maintenance market is expected to grow to $6.3 billion by 2022, according to a report by Market Research Future. However, a new paradigm is required for analyzing real-time IoT data. Predictive maintenance, which is the ability to use data-driven analytics to optimize capital equipment upkeep, is already used or will be used by 83 percent of manufacturing companies in the next two years.
At RSA this year, we introduced a series of new enhancements to Security Analytics – our new app for helping organizations combat security threats and meet compliance requirements. We are now happy to announce the official release of one of these features — Drilldown!
In order to effectively manage and monitor your infrastructure, a web admin needs clear and transparent information about the types of activity going on within their servers. Server logs provide a documented footprint of all traffic and errors that occur within an environment. Apache has two main log files, Error Logs, and Access Logs.
+ Bonus: 20 Apache errors – a free checklist Apache error logs and Apache access logs contain valuable data. In this article, we explain how the log files generated by the Apache web server are an important factor in keeping your web sites and apps running 24/7. We show you how to effectively use Apache logs to monitor and troubleshoot Apache log files, to protect and fix your web server. Want to get Apache/Tomcat/Log4J insights right away?
In the era of Peak TV, there is probably no more emblematic version of worthy binge watching than “Game of Thrones”. At the cusp of the series’ eighth and final season, the internet is buzzing with some painstaking analysis – using algorithms, AI, and big data sets, to find hidden Easter eggs. The numbers capture the mind-boggling detail author George R. R. Martin weaved into his novels and how easy it is to get lost in a fictional world as intricate as our own.
