head 1.1; access; symbols pkgsrc-2023Q4:1.1.0.56 pkgsrc-2023Q4-base:1.1 pkgsrc-2023Q3:1.1.0.54 pkgsrc-2023Q3-base:1.1 pkgsrc-2023Q2:1.1.0.52 pkgsrc-2023Q2-base:1.1 pkgsrc-2023Q1:1.1.0.50 pkgsrc-2023Q1-base:1.1 pkgsrc-2022Q4:1.1.0.48 pkgsrc-2022Q4-base:1.1 pkgsrc-2022Q3:1.1.0.46 pkgsrc-2022Q3-base:1.1 pkgsrc-2022Q2:1.1.0.44 pkgsrc-2022Q2-base:1.1 pkgsrc-2022Q1:1.1.0.42 pkgsrc-2022Q1-base:1.1 pkgsrc-2021Q4:1.1.0.40 pkgsrc-2021Q4-base:1.1 pkgsrc-2021Q3:1.1.0.38 pkgsrc-2021Q3-base:1.1 pkgsrc-2021Q2:1.1.0.36 pkgsrc-2021Q2-base:1.1 pkgsrc-2021Q1:1.1.0.34 pkgsrc-2021Q1-base:1.1 pkgsrc-2020Q4:1.1.0.32 pkgsrc-2020Q4-base:1.1 pkgsrc-2020Q3:1.1.0.30 pkgsrc-2020Q3-base:1.1 pkgsrc-2020Q2:1.1.0.26 pkgsrc-2020Q2-base:1.1 pkgsrc-2020Q1:1.1.0.6 pkgsrc-2020Q1-base:1.1 pkgsrc-2019Q4:1.1.0.28 pkgsrc-2019Q4-base:1.1 pkgsrc-2019Q3:1.1.0.24 pkgsrc-2019Q3-base:1.1 pkgsrc-2019Q2:1.1.0.22 pkgsrc-2019Q2-base:1.1 pkgsrc-2019Q1:1.1.0.20 pkgsrc-2019Q1-base:1.1 pkgsrc-2018Q4:1.1.0.18 pkgsrc-2018Q4-base:1.1 pkgsrc-2018Q3:1.1.0.16 pkgsrc-2018Q3-base:1.1 pkgsrc-2018Q2:1.1.0.14 pkgsrc-2018Q2-base:1.1 pkgsrc-2018Q1:1.1.0.12 pkgsrc-2018Q1-base:1.1 pkgsrc-2017Q4:1.1.0.10 pkgsrc-2017Q4-base:1.1 pkgsrc-2017Q3:1.1.0.8 pkgsrc-2017Q3-base:1.1 pkgsrc-2017Q2:1.1.0.4 pkgsrc-2017Q2-base:1.1 pkgsrc-2017Q1:1.1.0.2 pkgsrc-2017Q1-base:1.1; locks; strict; comment @# @; 1.1 date 2017.01.05.16.43.09; author fhajny; state Exp; branches; next ; commitid pztPe2Fs3OWUBNAz; desc @@ 1.1 log @Import beats 5.1.1 as sysutils/beats (based on wip/beats). The Beats are lightweight processes, written in Go, that you install on your servers to capture all sorts of operational data like logs, operating system metrics or network packet data, and to send it to Elasticsearch, either directly or via Logstash, so it can be visualized with Kibana. @ text @The Beats are lightweight processes, written in Go, that you install on your servers to capture all sorts of operational data like logs, operating system metrics or network packet data, and to send it to Elasticsearch, either directly or via Logstash, so it can be visualized with Kibana. @