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Logging

The latest News and Information on Log Management, Log Analytics and related technologies.

Using Trend Analysis for Better Insights

Centralized log collection has become a necessity for many organizations. Much of the data we need to run our operations and secure our environments comes from the logs generated by our devices and applications. Centralizing these logs creates a large repository of data that we can query to enable various types of analysis. The most common types are conditional analysis and trend analysis. They both have their place, but trend analysis is perhaps the more often underutilized source of information.

Log Management Comparison: ELK vs Graylog

Production logs can help ensure application security, reveal business insights and find and understand errors, crashes, and exceptions. But as useful as logs are, they’re difficult to manage and hard to keep track of. Making matters worse is that as log data volume grows, so does the difficult task of maintaining and managing them. It’s for this reason that developers, DevOps engineers, and CTOs turn to log management tools.

Managing Centralized Data with Graylog

Central storage is vitally important in log management. Just as storing and processing logs into lumber is done in one place, a sawmill, a central repository makes it cheaper and more efficient to process event logs in one location. Moving between multiple locations to process logs can decrease performance. To continue the analogy, once boards are cut at a sawmill, a tool such as a wood jointer smoothes out the rough edges of the boards and readies them for use in making beautiful things.