Adding upstream version 1.46.3.

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

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-# Distributed data architecture
-
-Learn how Netdata's distributed data architecture enables us to store metrics on the edge nodes for security, high performance and scalability.
-
-This way, it helps you collect and store per-second metrics from any number of nodes.
-Every node in your infrastructure, whether it's one or a thousand, stores the metrics it collects.
-
-Netdata Cloud bridges the gap between many distributed databases by _centralizing the interface_ you use to query and
-visualize your nodes' metrics. When you [look at charts in Netdata Cloud](https://github.com/netdata/netdata/blob/master/docs/cloud/visualize/interact-new-charts.md)
-, the metrics values are queried directly from that node's database and securely streamed to Netdata Cloud, which
-proxies them to your browser.
-
-Netdata's distributed data architecture has a number of benefits:
-
-- **Performance**: Every query to a node's database takes only a few milliseconds to complete for responsiveness when
-  viewing dashboards or using features
-  like [Metric Correlations](https://github.com/netdata/netdata/blob/master/docs/cloud/insights/metric-correlations.md).
-- **Scalability**: As your infrastructure scales, install the Netdata Agent on every new node to immediately add it to
-  your monitoring solution without adding cost or complexity.
-- **1-second granularity**: Without an expensive centralized data lake, you can store all of your nodes' per-second
-  metrics, for any period of time, while keeping costs down.
-- **No filtering or selecting of metrics**: Because Netdata's distributed data architecture allows you to store all
-  metrics, you don't have to configure which metrics you retain. Keep everything for full visibility during
-  troubleshooting and root cause analysis.
-- **Easy maintenance**: There is no centralized data lake to purchase, allocate, monitor, and update, removing
-  complexity from your monitoring infrastructure.
-
-## Ephemerality of metrics
-
-The ephemerality of metrics plays an important role in retention. In environments where metrics collection is dynamic and
-new metrics are constantly being generated, we are interested about 2 parameters:
-
-1. The **expected concurrent number of metrics** as an average for the lifetime of the database. This affects mainly the
-   storage requirements.
-
-2. The **expected total number of unique metrics** for the lifetime of the database. This affects mainly the memory
-   requirements for having all these metrics indexed and available to be queried.
-
-## Granularity of metrics
-
-The granularity of metrics (the frequency they are collected and stored, i.e. their resolution) is significantly
-affecting retention.
-
-Lowering the granularity from per second to every two seconds, will double their retention and half the CPU requirements
-of the Netdata Agent, without affecting disk space or memory requirements.
-
-## Long-term metrics storage with Netdata
-
-Any node running the Netdata Agent can store long-term metrics for any retention period, given you allocate the
-appropriate amount of RAM and disk space.
-
-Read our document on changing [how long Netdata stores metrics](https://github.com/netdata/netdata/blob/master/docs/store/change-metrics-storage.md) on your nodes for
-details.
-
-You can also stream between nodes using [streaming](https://github.com/netdata/netdata/blob/master/streaming/README.md), allowing to replicate databases and create
-your own centralized data lake of metrics, if you choose to do so.
-
-While a distributed data architecture is the default when monitoring infrastructure with Netdata, you can also configure
-its behavior based on your needs or the type of infrastructure you manage.
-
-To archive metrics to an external time-series database, such as InfluxDB, Graphite, OpenTSDB, Elasticsearch,
-TimescaleDB, and many others, see details on [integrating Netdata via exporting](https://github.com/netdata/netdata/blob/master/docs/export/external-databases.md).
-
-When you use the database engine to store your metrics, you can always perform a quick backup of a node's
-`/var/cache/netdata/dbengine/` folder using the tool of your choice.
-
-## Does Netdata Cloud store my metrics?
-
-Netdata Cloud does not store metric values.
-
-To enable certain features, such as [viewing active alerts](https://github.com/netdata/netdata/blob/master/docs/monitor/view-active-alerts.md)
-or [filtering by hostname](https://github.com/netdata/netdata/blob/master/docs/cloud/visualize/node-filter.md), Netdata Cloud does
-store configured alerts, their status, and a list of active collectors.
-
-Netdata does not and never will sell your personal data or data about your deployment.