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| author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2019-09-03 10:23:48 +0000 |
|---|---|---|
| committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2019-09-03 10:23:48 +0000 |
| commit | cd7ed12292aef11d9062b64f61215174e8cc1860 (patch) | |
| tree | 9998ab03d153956743d9319cf3a0279b9593ce36 /docs/why-netdata/unlimited-metrics.md | |
| parent | Releasing debian version 1.16.1-6. (diff) | |
| download | netdata-cd7ed12292aef11d9062b64f61215174e8cc1860.tar.xz netdata-cd7ed12292aef11d9062b64f61215174e8cc1860.zip | |
Merging upstream version 1.17.0.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'docs/why-netdata/unlimited-metrics.md')
| -rw-r--r-- | docs/why-netdata/unlimited-metrics.md | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/docs/why-netdata/unlimited-metrics.md b/docs/why-netdata/unlimited-metrics.md index a4ecaf3f2..827138ff1 100644 --- a/docs/why-netdata/unlimited-metrics.md +++ b/docs/why-netdata/unlimited-metrics.md @@ -10,8 +10,8 @@ Unfortunately, this does not work! Filtering out most metrics is like reading a For many people, monitoring is about: -- Detecting outages -- Capacity planning +- Detecting outages +- Capacity planning However, **slowdowns are 10 times more common** compared to outages (check slide 14 of [Online Performance is Business Performance ](https://www.slideshare.net/KenGodskind/alertsitetrac) reported by Trac Research/AlertSite). Designing a monitoring system targeting only outages and capacity planning solves just a tiny part of the operational problems we face. Check also [Downtime vs. Slowtime: Which Hurts More?](https://dzone.com/articles/downtime-vs-slowtime-which-hurts-more). @@ -29,9 +29,9 @@ So, why do monitoring solutions and SaaS providers filter out metrics? They can't do otherwise! -1. Centralization of metrics depends on metrics filtering, to control monitoring costs. Time-series databases limit the number of metrics collected, because the number of metrics influences their performance significantly. They get congested at scale. -2. It is a lot easier to provide an illusion of monitoring by using a few basic metrics. -3. Troubleshooting slowdowns is the hardest IT problem to solve, so most solutions just avoid it. +1. Centralization of metrics depends on metrics filtering, to control monitoring costs. Time-series databases limit the number of metrics collected, because the number of metrics influences their performance significantly. They get congested at scale. +2. It is a lot easier to provide an illusion of monitoring by using a few basic metrics. +3. Troubleshooting slowdowns is the hardest IT problem to solve, so most solutions just avoid it. ## What does Netdata do? @@ -41,4 +41,4 @@ Due to Netdata's distributed nature, the number of metrics collected does not ha Of course, since Netdata is also about [meaningful presentation](meaningful-presentation.md), the number of metrics makes Netdata development slower. We, the Netdata developers, need to have a good understanding of the metrics before adding them into Netdata. We need to organize the metrics, add information related to them, configure alarms for them, so that you, the Netdata users, will have the best out-of-the-box experience and all the information required to kill the console for troubleshooting slowdowns. -[]() +[](<>) |