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| author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2019-09-03 10:23:38 +0000 |
|---|---|---|
| committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2019-09-03 10:23:38 +0000 |
| commit | 574098461cd45be12a497afbdac6f93c58978387 (patch) | |
| tree | 9eb60a5930b7c20d42f7fde1e234cae3968ed3d9 /docs/why-netdata/immediate-results.md | |
| parent | Adding upstream version 1.16.1. (diff) | |
| download | netdata-574098461cd45be12a497afbdac6f93c58978387.tar.xz netdata-574098461cd45be12a497afbdac6f93c58978387.zip | |
Adding upstream version 1.17.0.upstream/1.17.0
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'docs/why-netdata/immediate-results.md')
| -rw-r--r-- | docs/why-netdata/immediate-results.md | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/docs/why-netdata/immediate-results.md b/docs/why-netdata/immediate-results.md index 123336711..f1f452ca4 100644 --- a/docs/why-netdata/immediate-results.md +++ b/docs/why-netdata/immediate-results.md @@ -1,7 +1,7 @@ # Immediate results Most of our infrastructure is based on standardized systems and applications. - + It is a tremendous waste of time and effort, in a global scale, to require from all users to configure their infrastructure dashboards and alarms metric by metric. ## Why? @@ -22,20 +22,20 @@ Monitoring SaaS providers offer a very basic set of pre-configured metrics, dash ## What does Netdata do? -1. Metrics are auto-detected, so for 99% of the cases data collection works out of the box. -2. Metrics are converted to human readable units, right after data collection, before storing them into the database. -3. Metrics are structured, organized in charts, families and applications, so that they can be browsed. -4. Dashboards are automatically generated, so all metrics are available for exploration immediately after installation. -5. Dashboards are not just visualizing metrics; they are a tool, optimized for visual anomaly detection. -6. Hundreds of pre-configured alarm templates are automatically attached to collected metrics. +1. Metrics are auto-detected, so for 99% of the cases data collection works out of the box. +2. Metrics are converted to human readable units, right after data collection, before storing them into the database. +3. Metrics are structured, organized in charts, families and applications, so that they can be browsed. +4. Dashboards are automatically generated, so all metrics are available for exploration immediately after installation. +5. Dashboards are not just visualizing metrics; they are a tool, optimized for visual anomaly detection. +6. Hundreds of pre-configured alarm templates are automatically attached to collected metrics. The result is that Netdata can be used immediately after installation! Netdata: -- Helps engineers understand and learn what the metrics are. -- Does not require any configuration. Of course there are thousands of options to tweak, but the defaults are pretty good for most systems. -- Does not introduce any query languages or any other technology to be learned. Of course some familiarity with the tool is required, but nothing too complicated. -- Includes all the community expertise and experience for monitoring systems and applications. +- Helps engineers understand and learn what the metrics are. +- Does not require any configuration. Of course there are thousands of options to tweak, but the defaults are pretty good for most systems. +- Does not introduce any query languages or any other technology to be learned. Of course some familiarity with the tool is required, but nothing too complicated. +- Includes all the community expertise and experience for monitoring systems and applications. -[]() +[](<>) |