Have you ever needed to grab a log from a local server that is not part of the Windows Event Channel? Applications like IIS or DNS can write their logs to a local file, and you need to get them into your centralized logging server for correlation and visualization. Graylog sidecar can help by creating and managing a centralized configuration for a filebeat agent, to gather these types of logs across all your infrastructure hosts.
Business intelligence (BI) is all about making sense of huge amounts of data to extract meaningful and actionable insights out of it. Log management tools such as Graylog, instead, are the perfect solution to streamline data collection and analysis, so it’s easy to understand how these two technologies can make sense when they’re coupled together.
A Syslog server allows for the collection of logs into a centralized log repository. This centralized log repository allows for quick searching of your logs across your organization through different visualization tools. The Syslog web interface will provide the easiest access to the logs, and allows for easy secured remote access.
Docker containers are an amazing invention that simplified the lives of many IT departments. Container images are lightweight, easily standardizable, and highly secure. Docker is the technology of choice when you need to run several different (and possibly newer) applications on the same servers.
You have Gigabytes or Terabytes of logs coming in on a daily basis, but now what do you do with them? Should I keep 10 days, 30 days or 1 year? How do I rotate around my logs and configure them in Graylog? Let's talk about the best practices around log retention and how to configure them in Graylog. Log rotation can be done for various reasons ranging from meeting a compliance goal, keeping the size of the index down for faster searches or to get rid of data after a set amount of time.
Event correlation tools are a fundamental instrument in your toolbox to detect threats from all sources across your organization in real time. A wise use of the right event correlation techniques through log management and analysis is the cornerstone of any reliable security information and event management (SIEM) strategy – a strategy that focuses on prevention rather than reaction.
Graylog’s log aggregation features are useful for a lot of tasks, ranging from regular troubleshooting to detecting issues as soon as they become manifest. Optimizing log management by aggregating all meaningful data is a quick and efficient way to isolate any problem to root causes and solve it with minimal impact on services. Aggregated data is easier to parse and analyze – you can reduce the number of data points in a meaningful way and obtain the answer you need from them.
The constant evolution of security threats has long-since made preventing cyber-attacks and network intrusion attempts a nearly impossible task. Real threats are often hard to identify among a multitude of false alarms, and many experts understand that a well-integrated and fully-automated threat intelligence strategy is the best approach. Nevertheless, 70% of security industry professionals still believe threat intelligence to be too complex and bulky to provide actionable insights.
Log file parsing is the process of analyzing log file data and breaking it down into logical syntactic components. In simple words - you’re extracting meaningful data from logs that can be measured in thousands of lines. There are multiple ways to perform log file parsing: you can write a custom parser or use parsing tools and/or software.
