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Update change-metrics-storage.md ()

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* Update change-metrics-storage.md

* Update docs/store/change-metrics-storage.md

Co-authored-by: Emmanuel Vasilakis <mrzammler@mm.st>

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Co-authored-by: Emmanuel Vasilakis <mrzammler@mm.st>
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docs/store/change-metrics-storage.md
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@ -43,8 +43,8 @@ we will have a data point every minute in tier 1 and every minute in tier 2.
Up to 5 tiers are supported. You may add, or remove tiers and/or modify these multipliers, as long as the
product of all the "update every iterations" does not exceed 65535 (number of points for each tier0 point).
e.g. If you simply add a fourth tier by setting `storage tiers = 4` and defining the disk space for the new tier,
the product of the "update every iterations" will be 60 * 60 * 60 = 216,000, which is > 65535. So you'd need to reduce
e.g. If you simply add a fourth tier by setting `storage tiers = 4` and define the disk space for the new tier,
the product of the "update every iterations" will be 60 \* 60 \* 60 = 216,000, which is > 65535. So you'd need to reduce
the `update every iterations` of the tiers, to stay under the limit.
The exact retention that can be achieved by each tier depends on the number of metrics collected. The more
@ -163,6 +163,16 @@ Save the file and restart the Agent with `sudo systemctl restart netdata`, or
the [appropriate method](https://github.com/netdata/netdata/blob/master/docs/configure/start-stop-restart.md)
for your system, to change the database engine's size.
## Scaling dedicated parent nodes
When you use streaming in medium to large infrastructures, you can have potentially millions of metrics per second reaching each parent node.
In the lab we have reliably collected 1 million metrics/sec with 16cores and 32GB RAM.
Our suggestion for scaling parents is to have them running on dedicated VMs, using a maximum of 50% of cpu, and ensuring you have enough RAM
for the desired retention. When your infrastructure can lead a parent to exceed these characteristics, split the load to multiple parents that
do not communicate with each other. With each child sending data to only one of the parents, you can still have replication, high availability,
and infrastructure level observability via the Netdata Cloud UI.
## Legacy configuration
### v1.35.1 and prior
@ -195,13 +205,3 @@ All new child nodes are automatically transferred to the multihost dbengine inst
space. If you want to migrate a child node from its legacy dbengine instance to the multihost dbengine instance, you
must delete the instance's directory, which is located in `/var/cache/netdata/MACHINE_GUID/dbengine`, after stopping the
Agent.
## Scaling dedicated parent nodes
When you use streaming in medium to large infrastructures, you can have potentially millions of metrics per second reaching each parent node.
In the lab we have reliably collected 1 million metrics/sec with 16cores and 32GB RAM.
Our suggestion for scaling parents is to have them running on dedicated VMs, using a maximum of 50% of cpu, and ensuring you have enough RAM
for the desired retention. When your infrastructure can lead a parent to exceed these characteristics, split the load to multiple parents that
do not communicate with each other. With each child sending data to only one of the parents, you can still have replication, high availability,
and infrastructure level observability via the Netdata Cloud UI.