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LTTng (Linux Trace Toolkit: next generation) is a system software package for correlated tracing of the Linux kernel, applications and libraries. The project was originated by Mathieu Desnoyers with an initial release in 2005. Its predecessor is the Linux Trace Toolkit.
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Explore the main themes, entities and connections around LTTng. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
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Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
linux tracing kernel trace performance libraries instrumentation toolkit babeltrace lttng-modules system release freebsd software project well challenging see reading montavista
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| LTTng | Available in | English | 1.00 | infobox |
| LTTng | Developer | EfficiOS | 1.00 | infobox |
| LTTng | License | Tracer module and libraries: GNU Lesser General Public License | 1.00 | infobox |
| LTTng | License | Tools: GNU General Public License | 1.00 | infobox |
| LTTng | License | Tracer public headers and Babeltrace: MIT License | 1.00 | infobox |
| LTTng | Operating system | Linux, FreeBSD[citation needed] | 1.00 | infobox |
| LTTng | Release | 2005 | 1.00 | infobox |
| LTTng | Repository | github.com/lttng/lttng-modules | 1.00 | infobox |
| LTTng | Stable release | 2.13 / August 2, 2021; 5 years ago (2021-08-02) | 1.00 | infobox |
| LTTng | Type | Tracing | 1.00 | infobox |
| LTTng | Website | lttng.org | 1.00 | infobox |
| LTTng | Written in | C | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.