In 1990, establishing a log management system may have been simple — but in 2021, because of the complexity of log management standards, regulatory requirements, and growing IT architectures, setting up an effective and compliant log file management system has become increasingly difficult, until now.
Today, enterprise log management extends beyond basic data collection. Modern log storage and management involves reporting, normalization, analysis, and archival processes that can withstand disasters and other unexpected circumstances. Due to the evolution of IT infrastructure (which now includes cloud and hosted deployments) there’s more data than before, and data management is made more complicated by data residing across multiple environments.
To help IT organizations cope with the challenges of log storage and management, LogZilla is breaking down the most important log management best practices, and why it matters, taking you back to SIMPLE and AFFORDABLE in less than 30 seconds with LogZilla NEO.
So, What Is Log Management?
Log management involves combining data from services, hosts, applications, etc. This data serves as a record of all the events that have occurred across multiple infrastructures and applications over time. These data logs are taken from various sources and are likely to be formatted differently.
When an enterprise log management solution has finished centralizing data logs, IT professionals can then extract important information from the logs, which they can leverage to analyze application performance and improve it.
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The numerous log files generated by software and devices across a company’s IT architecture provide critical insight. However, event logs are generated continuously, which can result in high data volumes, making organizing and managing these logs an ongoing challenge for IT professionals.
EXAMPLE: Sending an extra 100-200GB of data through your IT architecture forces the addition of a new Resource, or two, or three—and your vendor’s pricing matrix is most likely a combination of the volume of data sent plus all the resource usage. So, ultimately, the more data you send, the more resources required, and the more you pay.
Learn how you can reduce the volume of data sent without losing the fidelity of the source data, while significantly reducing the number of resources used, yet still use your current downstream SIEM now.
You can also schedule your 10-minute DEMO to find out more.