Real-time performance monitoring
netdata is a highly optimized Linux daemon providing real-time performance monitoring for Linux systems, Applications, SNMP devices, over the web!
- Sources inherited from project openSUSE:Backports:SLE-15-SP4
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osc -A https://api.opensuse.org checkout openSUSE:Backports:SLE-15-SP4:Update/netdata && cd $_
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Source Files
Filename | Size | Changed |
---|---|---|
_service | 0000000190 190 Bytes | |
go.d.plugin-v0.29.0.tar.gz | 0000793455 775 KB | |
netdata-logrotate-su.patch | 0000000252 252 Bytes | |
netdata-rpmlintrc | 0000000095 95 Bytes | |
netdata-smartd-log-path.patch | 0000000660 660 Bytes | |
netdata-v1.31.0.tar.gz | 0012528280 11.9 MB | |
netdata.changes | 0000111044 108 KB | |
netdata.spec | 0000007458 7.28 KB | |
vendor.tar.gz | 0003884949 3.7 MB |
Latest Revision
Yuchen Lin (maxlin_factory)
accepted
request 933390
from
Wolfgang Engel (bigironman)
(revision 2)
- Fix build on s390x (Adding s390x to ifnarch statement for xenstat in spec file) - Update to 1.31.0 (go.d.plugin 0.29.0) The v1.31.0 release of Netdata comes with re-packaged and redesigned elements of the dashboard to help you focus on your metrics, even more Linux kernel insights via eBPF, on-node machine learning to help you find anomalies, and much more. This release contains 10 new collectors, 54 improvements (7 in the dashboard), 31 documentation updates, and 29 bug fixes. At a glance We re-packaged and redesigned portions of the dashboard to improve the overall experience. Part of this effort is better handling of dashboard code during installation—anyone using third-party packages (such as the Netdata Homebrew formula) will start seeing new features and the new designs starting today. The timeframe picker has moved to the top panel, and just to its right are two counters with live CRITICAL and WARNING alarm statuses for your node. Click on either of these two open the alarms modal. We've also pushed a number of powerful new collectors, including directory cache monitoring via eBPF. By monitoring directory cache, developers and SREs alike can find opportunities to optimize memory usage and reduce disk-intensive operations. Our new Z-scores and changefinder collectors use machine learning to let you know, at a glance, when key metrics start to behave oddly. We'd love to get feedback on these sophisticated, subjective new brand of collectors! Improvements * Automatically trigger Helmchart PR on Agent release. (gh#netdata/netdata#11084)
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