The logging ecosystem or a logging infrastructure is the set of all components and parts that work together to generate, filter, normalize, and store log messages. The purpose of this logging system is to use logs for solving particular problems. For example, the logs can help to find out the source of the attack. This article defines each component of logging ecosystem and illustrates how they work.
It has now become public knowledge that every business organization is under constant threats in the ever-evolving cyberspace. In order to secure their assets and maintain a strong defence against the actors with malicious intent, an organization takes a number of steps such as installing appropriate software and hardware, implementing security controls, etc. One such step is log management which plays a crucial role during a security incident.
SOC architecture is a vital component to consider when building an effective and reliable SOC. It includes the consideration of SOC locations and centralization, SOC architecture and organizational size, SOC staffing, and SOC mixing up with a cloud. The subsequent sections delve into these essential points in great details.
Modern log aggregation stacks including ELK (Elasticsearch, Logstash, and Kibana), Google’s Stackdriver, or AWS Cloudwatch are great tools, but their browser-based interfaces are not for everybody. At Egnyte, we rely heavily on logs to monitor our systems and solve customer issues. Therefore, many of our engineers depend on Kibana, the ELK browser-based query tool.
