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cwarnermm committed Jan 24, 2025
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29 changes: 15 additions & 14 deletions source/scale/scale-to-100000-users.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -12,24 +12,25 @@ This page describes the Mattermost reference architecture designed for the load
.. note::
- Usage of CPU, RAM, and storage space can vary significantly based on user behavior. These hardware recommendations are based on traditional deployments and may grow or shrink depending on how active your users are.
- From Mattermost v10.4, Mattermost Enterprise customers can configure `Redis <https://redis.io/>`_ (Remote Dictionary Server) as an alternative cache backend. Using Redis can help ensure that Mattermost remains performant and efficient, even under heavy usage. See the :ref:`Redis cache backend <configure/environment-configuration-settings:redis cache backend>` configuration settings documentation for details.
- While the following specifications may be more than sufficient for some use cases, we have not extensively tested configurations with lower resource allocations for this user scale. If cost optimization is a priority, admins may choose to experiment with smaller configurations, but we recommend starting with the tested specifications to ensure system stability and performance. Keep in mind that under-provisioning can lead to degraded user experience and additional troubleshooting effort.

Requirements
------------

+------------------------+-----------+----------------+-------------------+
| **Resource Type** | **Nodes** | **vCPU/ | **AWS Instance** |
| | | Memory (GiB)** | |
+========================+===========+================+===================+
| Mattermost Application | 6 | 16/32 | c7i.4xlarge |
+------------------------+-----------+----------------+-------------------+
| RDS Writer | 1 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-------------------+
| RDS Reader | 5 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-------------------+
| Elasticsearch Node | 2 | 4/32 | r6g.xlarge.search |
+------------------------+-----------+----------------+-------------------+
| Proxy | 1 | 16/64 | m7i.4xlarge |
+------------------------+-----------+----------------+-------------------+
+------------------------+-----------+----------------+-----------------------+
| **Resource Type** | **Nodes** | **vCPU/ | **AWS Instance** |
| | | Memory (GiB)** | |
+========================+===========+================+=======================+
| Mattermost Application | 6 | 16/32 | c7i.4xlarge |
+------------------------+-----------+----------------+-----------------------+
| RDS Writer | 1 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-----------------------+
| RDS Reader | 5 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-----------------------+
| Elasticsearch Node | 2 | 4/32 | 4 x r6g.xlarge.search |
+------------------------+-----------+----------------+-----------------------+
| Proxy | 1 | 16/64 | m7i.4xlarge |
+------------------------+-----------+----------------+-----------------------+

Lifetime storage
----------------
Expand Down
32 changes: 17 additions & 15 deletions source/scale/scale-to-30000-users.rst
View file
Original file line number Diff line number Diff line change
Expand Up @@ -10,25 +10,27 @@ This page describes the Mattermost reference architecture designed for the load
- **Database Configuration**: writer, multiple readers

.. note::
Usage of CPU, RAM, and storage space can vary significantly based on user behavior. These hardware recommendations are based on traditional deployments and may grow or shrink depending on how active your users are.

- Usage of CPU, RAM, and storage space can vary significantly based on user behavior. These hardware recommendations are based on traditional deployments and may grow or shrink depending on how active your users are.
- While the following specifications may be more than sufficient for some use cases, we have not extensively tested configurations with lower resource allocations for this user scale. If cost optimization is a priority, admins may choose to experiment with smaller configurations, but we recommend starting with the tested specifications to ensure system stability and performance. Keep in mind that under-provisioning can lead to degraded user experience and additional troubleshooting effort.

Requirements
------------

+------------------------+-----------+----------------+-------------------+
| **Resource Type** | **Nodes** | **vCPU/ | **AWS Instance** |
| | | Memory (GiB)** | |
+========================+===========+================+===================+
| Mattermost Application | 2 | 8/16 | c7i.2xlarge |
+------------------------+-----------+----------------+-------------------+
| RDS Writer | 1 | 8/64 | db.r7g.2xlarge |
+------------------------+-----------+----------------+-------------------+
| RDS Reader | 1 | 8/64 | db.r7g.2xlarge |
+------------------------+-----------+----------------+-------------------+
| Elasticsearch Node | 2 | 4/32 | r6g.xlarge.search |
+------------------------+-----------+----------------+-------------------+
| Proxy | 1 | 16/64 | m7i.4xlarge |
+------------------------+-----------+----------------+-------------------+
+------------------------+-----------+----------------+-----------------------+
| **Resource Type** | **Nodes** | **vCPU/ | **AWS Instance** |
| | | Memory (GiB)** | |
+========================+===========+================+=======================+
| Mattermost Application | 2 | 8/16 | c7i.2xlarge |
+------------------------+-----------+----------------+-----------------------+
| RDS Writer | 1 | 8/64 | db.r7g.2xlarge |
+------------------------+-----------+----------------+-----------------------+
| RDS Reader | 1 | 8/64 | db.r7g.2xlarge |
+------------------------+-----------+----------------+-----------------------+
| Elasticsearch Node | 2 | 4/32 | 4 x r6g.xlarge.search |
+------------------------+-----------+----------------+-----------------------+
| Proxy | 1 | 16/64 | m7i.4xlarge |
+------------------------+-----------+----------------+-----------------------+

Lifetime storage
----------------
Expand Down
32 changes: 17 additions & 15 deletions source/scale/scale-to-50000-users.rst
View file
Original file line number Diff line number Diff line change
Expand Up @@ -10,25 +10,27 @@ This page describes the Mattermost reference architecture designed for the load
- **Database Configuration**: writer, multiple readers

.. note::
Usage of CPU, RAM, and storage space can vary significantly based on user behavior. These hardware recommendations are based on traditional deployments and may grow or shrink depending on how active your users are.

- Usage of CPU, RAM, and storage space can vary significantly based on user behavior. These hardware recommendations are based on traditional deployments and may grow or shrink depending on how active your users are.
- While the following specifications may be more than sufficient for some use cases, we have not extensively tested configurations with lower resource allocations for this user scale. If cost optimization is a priority, admins may choose to experiment with smaller configurations, but we recommend starting with the tested specifications to ensure system stability and performance. Keep in mind that under-provisioning can lead to degraded user experience and additional troubleshooting effort.

Requirements
------------

+------------------------+-----------+----------------+-------------------+
| **Resource Type** | **Nodes** | **vCPU/ | **AWS Instance** |
| | | Memory (GiB)** | |
+========================+===========+================+===================+
| Mattermost Application | 5 | 8/16 | c7i.2xlarge |
+------------------------+-----------+----------------+-------------------+
| RDS Writer | 1 | 8/64 | db.r7g.2xlarge |
+------------------------+-----------+----------------+-------------------+
| RDS Reader | 4 | 8/64 | db.r7g.2xlarge |
+------------------------+-----------+----------------+-------------------+
| Elasticsearch Node | 2 | 4/32 | r6g.xlarge.search |
+------------------------+-----------+----------------+-------------------+
| Proxy | 1 | 16/64 | m7i.4xlarge |
+------------------------+-----------+----------------+-------------------+
+------------------------+-----------+----------------+-----------------------+
| **Resource Type** | **Nodes** | **vCPU/ | **AWS Instance** |
| | | Memory (GiB)** | |
+========================+===========+================+=======================+
| Mattermost Application | 5 | 8/16 | c7i.2xlarge |
+------------------------+-----------+----------------+-----------------------+
| RDS Writer | 1 | 8/64 | db.r7g.2xlarge |
+------------------------+-----------+----------------+-----------------------+
| RDS Reader | 4 | 8/64 | db.r7g.2xlarge |
+------------------------+-----------+----------------+-----------------------+
| Elasticsearch Node | 2 | 4/32 | 4 x r6g.xlarge.search |
+------------------------+-----------+----------------+-----------------------+
| Proxy | 1 | 16/64 | m7i.4xlarge |
+------------------------+-----------+----------------+-----------------------+

Lifetime storage
----------------
Expand Down
32 changes: 17 additions & 15 deletions source/scale/scale-to-80000-users.rst
View file
Original file line number Diff line number Diff line change
Expand Up @@ -10,25 +10,27 @@ This page describes the Mattermost reference architecture designed for the load
- **Database Configuration**: writer, multiple readers

.. note::
Usage of CPU, RAM, and storage space can vary significantly based on user behavior. These hardware recommendations are based on traditional deployments and may grow or shrink depending on how active your users are.

- Usage of CPU, RAM, and storage space can vary significantly based on user behavior. These hardware recommendations are based on traditional deployments and may grow or shrink depending on how active your users are.
- While the following specifications may be more than sufficient for some use cases, we have not extensively tested configurations with lower resource allocations for this user scale. If cost optimization is a priority, admins may choose to experiment with smaller configurations, but we recommend starting with the tested specifications to ensure system stability and performance. Keep in mind that under-provisioning can lead to degraded user experience and additional troubleshooting effort.

Requirements
------------

+------------------------+-----------+----------------+-------------------+
| **Resource Type** | **Nodes** | **vCPU/ | **AWS Instance** |
| | | Memory (GiB)** | |
+========================+===========+================+===================+
| Mattermost Application | 4 | 16/32 | c7i.4xlarge |
+------------------------+-----------+----------------+-------------------+
| RDS Writer | 1 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-------------------+
| RDS Reader | 3 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-------------------+
| Elasticsearch Node | 2 | 4/32 | r6g.xlarge.search |
+------------------------+-----------+----------------+-------------------+
| Proxy | 1 | 16/64 | m7i.4xlarge |
+------------------------+-----------+----------------+-------------------+
+------------------------+-----------+----------------+-----------------------+
| **Resource Type** | **Nodes** | **vCPU/ | **AWS Instance** |
| | | Memory (GiB)** | |
+========================+===========+================+=======================+
| Mattermost Application | 4 | 16/32 | c7i.4xlarge |
+------------------------+-----------+----------------+-----------------------+
| RDS Writer | 1 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-----------------------+
| RDS Reader | 3 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-----------------------+
| Elasticsearch Node | 2 | 4/32 | 4 x r6g.xlarge.search |
+------------------------+-----------+----------------+-----------------------+
| Proxy | 1 | 16/64 | m7i.4xlarge |
+------------------------+-----------+----------------+-----------------------+

Lifetime storage
----------------
Expand Down
32 changes: 17 additions & 15 deletions source/scale/scale-to-90000-users.rst
View file
Original file line number Diff line number Diff line change
Expand Up @@ -10,25 +10,27 @@ This page describes the Mattermost reference architecture designed for the load
- **Database Configuration**: writer, multiple readers

.. note::
Usage of CPU, RAM, and storage space can vary significantly based on user behavior. These hardware recommendations are based on traditional deployments and may grow or shrink depending on how active your users are.

- Usage of CPU, RAM, and storage space can vary significantly based on user behavior. These hardware recommendations are based on traditional deployments and may grow or shrink depending on how active your users are.
- While the following specifications may be more than sufficient for some use cases, we have not extensively tested configurations with lower resource allocations for this user scale. If cost optimization is a priority, admins may choose to experiment with smaller configurations, but we recommend starting with the tested specifications to ensure system stability and performance. Keep in mind that under-provisioning can lead to degraded user experience and additional troubleshooting effort.

Requirements
------------

+------------------------+-----------+----------------+-------------------+
| **Resource Type** | **Nodes** | **vCPU/ | **AWS Instance** |
| | | Memory (GiB)** | |
+========================+===========+================+===================+
| Mattermost Application | 5 | 16/32 | c7i.4xlarge |
+------------------------+-----------+----------------+-------------------+
| RDS Writer | 1 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-------------------+
| RDS Reader | 4 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-------------------+
| Elasticsearch Node | 2 | 4/32 | r6g.xlarge.search |
+------------------------+-----------+----------------+-------------------+
| Proxy | 1 | 16/64 | m7i.4xlarge |
+------------------------+-----------+----------------+-------------------+
+------------------------+-----------+----------------+-----------------------+
| **Resource Type** | **Nodes** | **vCPU/ | **AWS Instance** |
| | | Memory (GiB)** | |
+========================+===========+================+=======================+
| Mattermost Application | 5 | 16/32 | c7i.4xlarge |
+------------------------+-----------+----------------+-----------------------+
| RDS Writer | 1 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-----------------------+
| RDS Reader | 4 | 16/128 | db.r7g.4xlarge |
+------------------------+-----------+----------------+-----------------------+
| Elasticsearch Node | 2 | 4/32 | 4 x r6g.xlarge.search |
+------------------------+-----------+----------------+-----------------------+
| Proxy | 1 | 16/64 | m7i.4xlarge |
+------------------------+-----------+----------------+-----------------------+

Lifetime storage
----------------
Expand Down

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