![]() ![]() Logstash is an open source data collection engine with real-time pipelining capabilities. Furthermore, the cross-correlation between indexes becomes much easier if the indexes have the same fields. This makes a huge impact because instead of having to remember the naming convention for each logging source you just have to know the logging convention for a source type. The Splunk Network Traffic CIM states this field name should be src_ip for all network logging sources. For example, Suricata uses src_ip for source IP address but Zeek uses id.orig_h which at first glance is not a friendly convention. Splunk’s Common Information Model (CIM) is a model for Splunk administrators to follow (but not enforced) so all data sets have the same structure. Splunk personal developers – 50GB daily license for 6 months.Splunk for education – 10GB daily license for a year – can request for more.Splunk for developers – 10GB daily license for 6 months.Splunk is a technology used for application management, security, and compliance, as well as business and web analytics. It aims to build machine-generated data available over an organization and is able to recognize data patterns, produce metrics, diagnose problems, and grant intelligence for business operation purposes. Splunk performs capturing, indexing, and correlating the real-time data in a searchable container from which it can produce graphs, reports, alerts, dashboards, and visualizations. Splunk is a software mainly used for searching, monitoring, and examining machine-generated Big Data through a web-style interface. The main advantage of using Splunk is that it does not need any database to store its data, as it extensively makes use of its indexes to store the data. It analyzes the machine-generated data to provide operational intelligence. Splunk is an advanced, scalable, and effective technology that indexes and searches log files stored in a system. The hope is that the explanation of the architecture, design decisions, working infrastructure-as-code, and the knowledge I accumulated over the years will be beneficial to the community. This blog post is my attempt to share my logging pipeline as a framework for newcomers. When I tell people about my pipeline they usually ask if I have a blog post on it because they want to know more or replicate it. Over the years I have built several logging pipelines within my homelab and each used different technologies and methodologies but now I have finally built a pipeline that suites my needs. ![]()
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