W E K A
4.0
4.0
  • WEKA v4.0 documentation
  • WEKA System Overview
    • About the WEKA system
    • SSD capacity management
    • Filesystems, object stores, and filesystem groups
    • Weka networking
    • Data lifecycle management
    • Weka client and mount modes
    • Weka containers architecture overview
    • Glossary
  • Getting Started with Weka
    • Quick installation guide
    • Manage the system using the Weka CLI
    • Manage the system using the Weka GUI
    • Run first IOs with WekaFS
    • Getting started with Weka REST API
  • Planning & Installation
    • Prerequisites for installation
    • Weka installation on bare metal
      • Planning a Weka System Installation
      • Prepare the system for Weka installation
        • SR-IOV enablement
      • Obtain the Weka software installation package
      • Weka cluster installation
      • WEKA legacy system installation process
      • Add clients
    • Weka installation on AWS
      • Self-service portal
      • CloudFormation template generator
      • Deployment types
      • AWS outposts deployment
      • Supported EC2 instance types
      • Add clients
      • Auto scaling group
      • Troubleshooting
  • Performance
    • Weka performance tests
      • Test environment details
  • WekaFS Filesystems & Object Stores
    • Manage object stores
      • Manage object stores using the GUI
      • Manage object stores using the CLI
    • Manage filesystem groups
      • Manage filesystem groups using the GUI
      • Manage filesystem groups using the CLI
    • Manage filesystems
      • Manage filesystems using the GUI
      • Manage filesystems using the CLI
    • Attach or detach object store buckets
      • Attach or detach object store bucket using the GUI
      • Attach or detach object store buckets using the CLI
    • Advanced data lifecycle management
      • Advanced time-based policies for data storage location
      • Data management in tiered filesystems
      • Transition between tiered and SSD-only filesystems
      • Manual fetch and release of data
    • Mount filesystems
    • Snapshots
      • Manage snapshots using the GUI
      • Manage snapshots using the CLI
    • Snap-To-Object
      • Manage Snap-To-Object using the GUI
      • Manage Snap-To-Object using the CLI
    • Quota management
  • Additional Protocols
    • NFS
      • Manage NFS networking using the GUI
      • Manage NFS networking using the CLI
    • SMB
      • Manage SMB using the GUI
      • Manage SMB using the CLI
    • S3
      • S3 cluster management
        • Manage the S3 service using the GUI
        • Manage the S3 service using the CLI
      • S3 buckets management
        • Manage S3 buckets using the GUI
        • Manage S3 buckets using the CLI
      • S3 users and authentication
        • Manage S3 users and authentication using the CLI
        • Manage S3 service accounts using the CLI
      • S3 rules information lifecycle management (ILM)
        • Manage S3 rules using the CLI
      • Audit S3 APIs
        • Configure audit webhook using the GUI
        • Configure audit webhook using the CLI
        • Example: How to use Splunk to audit S3
      • S3 supported APIs and limitations
      • S3 examples using boto3
  • Operation Guide
    • Alerts
      • Manage alerts using the GUI
      • Manage alerts using the CLI
      • List of alerts and corrective actions
    • Events
      • Manage events using the GUI
      • Manage events using the CLI
      • List of events
    • Statistics
      • Manage statistics using the GUI
      • Manage statistics using the CLI
      • List of statistics
    • System congestion
    • Security management
      • Obtain authentication tokens
      • KMS management
        • Manage KMS using the GUI
        • Manage KMS using the CLI
      • TLS certificate management
        • Manage the TLS certificate using the GUI
        • Manage the TLS certificate using the CLI
      • CA certificate management
        • Manage the CA certificate using the GUI
        • Manage the CA certificate using the CLI
      • Account lockout threshold policy management
        • Manage the account lockout threshold policy using GUI
        • Manage the account lockout threshold policy using CLI
      • Manage the login banner
        • Manage the login banner using the GUI
        • Manage the login banner using the CLI
    • User management
      • Manage users using the GUI
      • Manage users using the CLI
    • Organizations management
      • Manage organizations using the GUI
      • Manage organizations using the CLI
      • Mount authentication for organization filesystems
    • Expand and shrink cluster resources
      • Expand and shrink overview
      • Workflow: Add a backend host
      • Expansion of specific resources
      • Shrink a Cluster
    • Background tasks
    • Upgrade Weka versions
  • Billing & Licensing
    • License overview
    • Classic license
    • Pay-As-You-Go license
  • Support
    • Prerequisites and compatibility
    • Get support for your Weka system
    • Diagnostics management
      • Traces management
        • Manage traces using the GUI
        • Manage traces using the CLI
      • Protocols debug level management
        • Manage protocols debug level using the GUI
        • Manage protocols debug level using the CLI
      • Collect and upload diagnostics data
    • Weka Home - The Weka support cloud
      • Local Weka Home overview
      • Local Weka Home deployment
      • Set the Local Weka Home to send alerts or events
      • Download the Usage Report or Analytics
  • Appendix
    • Weka CSI Plugin
    • Set up the Weka-mon external monitoring
    • Set up the SnapTool external snapshots manager
  • REST API Reference Guide
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On this page
  • Before you begin
  • Server minimum requirements
  • Authentication token requirement
  • Workflow: Install the Weka-mon package
  • 1. Obtain the Weka-mon package
  • 2. Run the install.sh script
  • 3. Edit the export.yml file
  • 4. Edit the quota-export.yml file
  • 5. Start the docker-compose containers
  • Integrate with an existing Grafana/Prometheus environment
  • 1. Obtain the Weka-mon package
  • 2. Import the dashboard JSON files
  • 3. Edit the export.yml and quota-export.yml files
  • 4. Run the exporter
  • Exporter configuration options in the export.yml file
  1. Appendix

Set up the Weka-mon external monitoring

The Weka-mon is an external monitoring package, which provides enriched monitoring capabilities using the Grafana and Prometheus tools.

PreviousWeka CSI PluginNextSet up the SnapTool external snapshots manager

Last updated 2 years ago

Weka provides an external monitoring package named Weka-mon. The package implements the well-known dashboard with , which provides a central monitoring dashboard of metrics, logs, alerts, and statistics with enriched capabilities.

The package also includes the following components:

  • Exporter: The Exporter gets the data from the Weka cluster and sends the data to Prometheus.

  • Quota Export: The Quota Export manages the quotas and sends the data to Prometheus.

  • Alert Manager: The Alert Manger alerts users through an SMTP server when they reach their soft quota limits.

You can set up the Weka-mon package regardless of the data monitoring provided by the Weka GUI.

One of the advantages of setting up the Weka-mon package is that if you already use the Grafana and Prometheus tools for monitoring other products, you can integrate these tools with Weka to correlate and display monitoring information from all your products on the same dashboard.

Before you begin

Setting up a dedicated management server (or VM) for the installation is recommended.

Server minimum requirements

  • 4 cores

  • 16 GB RAM

  • 50 GB / partition (for the root)

  • 50 GB /opt/ partition (for weka-mon installation)

  • 1 Gbps network

  • Docker is the recommended container for the Weka-mon setup. To use Docker, the following must be installed on the dedicated management server:

    • docker-ce

    • docker-compose or docker-compose-plugin depending on the existing operating system.

Authentication token requirement

To enable communication between the management server and the Weka cluster, the security token is required in the auth-token.json file.

  1. Create the directory ~/.weka in the weka-mon installation directory.

Workflow: Install the Weka-mon package

1. Obtain the Weka-mon package

The Weka-mon package resides on the GitHub repository. Obtain the Weka-mon package using one of the following methods:

Download the Weka-mon source code

  1. On the latest release section, select the Source Code link to download.

  2. Copy the downloaded source code to the dedicated management server or VM and unpack it.

Clone the repository

Run the following commands to clone the weka-mon package from GitHub:

git clone https://github.com/weka/weka-mon
cd weka-mon

2. Run the install.sh script

The install.sh script creates a few directories in /opt/ and sets their permissions.

Run the following command:

./install.sh

3. Edit the export.yml file

The Weka-mon and the exporter configuration are defined in the export.yml file.

  1. Go to the weka-mon directory and open the export.yml file.

  2. In the cluster section under the hosts list, replace the hostnames with the actual hostnames/IP addresses of the Weka containers (up to three would be sufficient). Ensure the hostnames are mapped to the IP addresses in /etc/hosts.

hosts:
 - hostname01 
 - hostname02
 - hostname03

4. Optional. Add custom panels to Grafana containing other metrics.

All other settings in the export.yml file have pre-defined defaults that do not need modification to work with weka-mon. All the configurable items are defined but marked as comments by an asterisk (#).

To add custom panels to Grafana containing other metrics from the cluster, you can remove the asterisk from the required metrics (uncomment).

Example: In the following snippet of the export.yml, to enable getting the FILEATOMICOPEN_OPS statistic, remove the # character at the beginning of the line.

If the statistic you want to get is in a Category that is commented out, also uncomment the Category line (the first line in the example). Conversely, insert the # character at the beginning of the line to stop getting a statistic.

 'ops_driver':     # Category
   'DIRECT_READ_SIZES':  'sizes'
   'DIRECT_WRITE_SIZES':  'sizes'
#   'FILEATOMICOPEN_LATENCY':  'microsecs'
#   'FILEATOMICOPEN_OPS':  'ops'

4. Edit the quota-export.yml file

The Weka-mon deployment includes a dedicated container named quota-export. The container includes an Alert Manager that emails users when they reach their soft quota.

The configuration of the quota-export container is defined in the quota-export.yml file.

  1. Go to the weka-mon directory and open the quota-export.yml file.

  2. Specify the same hosts as you specified above.

5. Start the docker-compose containers

  1. Run the following command:

docker-compose up -d

2. Verify that the containers are running using the following command:

docker ps

Example:

[root@av0412CL-3 weka-mon] 2022-12-05 17:30:37 $ docker ps
CONTAINER ID   IMAGE                               COMMAND                  CREATED          STATUS           PORTS                                       NAMES
ec1d2584acab   grafana/loki:2.3.0                  "/usr/bin/loki -conf…"   20 minutes ago   Up 20 minutes    0.0.0.0:3100->3100/tcp, :::3100->3100/tcp   weka-mon_loki_1
4645533501f0   grafana/grafana:latest              "/run.sh"                20 minutes ago   Up 20 minutes    0.0.0.0:3000->3000/tcp, :::3000->3000/tcp   weka-mon_grafana_1
d930e903b74e   wekasolutions/export:latest         "/weka/export -v"        20 minutes ago   Up 7 minutes     0.0.0.0:8001->8001/tcp, :::8001->8001/tcp   weka-mon_export_1
dc5f9f710997   wekasolutions/quota-export:latest   "/weka/quota-export"     20 minutes ago   Up 7 minutes     0.0.0.0:8101->8101/tcp, :::8101->8101/tcp   weka-mon_quota-export_1
17689ac9377d   prom/prometheus:latest              "/bin/prometheus --s…"   20 minutes ago   Up 20 minutes    0.0.0.0:9090->9090/tcp, :::9090->9090/tcp   weka-mon_prometheus_1
[root@av0412CL-3 weka-mon] 2022-12-05 17:35:46 $ 

If the status of the containers is not up, check the logs and troubleshoot accordingly. To check the logs, run the following command:

docker logs <container id>

Once all containers are running, you can connect to Grafana on port 3000 of the management server running the docker containers. The default credentials for Grafana are admin/admin.

Integrate with an existing Grafana/Prometheus environment

If you already have Grafana and Prometheus running in your environment, you only need to run the exporter and add it to the Prometheus configuration.

1. Obtain the Weka-mon package

2. Import the dashboard JSON files

3. Edit the export.yml and quota-export.yml files

4. Run the exporter

Do one of the following:

Run the exporter in the docker container

Get and run the container (the export.yml configuration file is already edited).

The following example maps the export.yml configuration file in several volumes in the container:

  • ~/.weka directory to enable the container to read the authentication file.

  • /dev/log to enable entries in the Syslog.

  • /etc/hosts to enable the hostname resolution (a DNS can also be used, if exists in the docker environment).

There are more options; you can run the command with-help or -h for a full description.

# get the container from dockerhub:
docker pull wekasolutions/export

# example of how to run the container
docker run -d --network=host \
  --mount type=bind,source=/root/.weka/,target=/weka/.weka/ \
  --mount type=bind,source=/dev/log,target=/dev/log \
  --mount type=bind,source=/etc/hosts,target=/etc/hosts \
  --mount type=bind,source=$PWD/export.yml,target=/weka/export.yml \
  wekasolutions/export -v

Run the exporter as a compiled binary

  1. Copy this file to the management server or VM.

tar xvf export-1.3.0.tar
cd export
./export -v

Run the exporter as a Python script

  1. Do one of the following:

    • Run git clone https://github.com/weka/export

  2. Install the required python modules by running the following command: pip3 install -r requirements.txt

./export -v

Exporter configuration options in the export.yml file

The exporter section defines the program behavior.

# exporter section
exporter:
  listen_port: 8001
  loki_host: loki
  loki_port: 3100
  timeout: 10.0
  max_procs: 8
  max_threads_per_proc: 100
  backends_only: True

Exporter section parameters

Parameter
Description

listen_port

The Prometheus listening port. Do not modify this port unless you modify the Prometheus configuration.

loki_host

If using the Weka-mon setup, do not modify the hostname. Leave blank to disable sending events to Loki.

loki_port

If using the Weka-mon setup, do not modify the port.

timeout

The max time in seconds to wait for an API call to return. The default value is sufficient for most purposes.

max_procs and max_threads_per_proc

Define the scaling behavior. If the number of hosts (servers and clients) exceeds max_threads_per_proc, the exporter runs more processes accordingly. Example: a cluster with 80 Weka servers and 200 compute nodes (aka clients) has 280 hosts. With the default max_threads_per_proc of 100, it runs 3 processes (280 / 100 ~ 3). It's recommended to have 1 available core per process. In this cluster example, deploy at least 4 available cores on the server/VM.

backends_only

Run only on the Weka backend hosts

The exporter always tries to allocate one host per thread but does not exceed the maximum processes specified in the max_procs parameter. In a cluster with 1000 hosts, it doubles or triples up the hosts on the threads.

Example: In a cluster with 3000 hosts, max_procs = 8, and max_threads_per_proc= 100, only 8 processes running. Each process with 100 threads, but there are close to 4 hosts serviced per thread instead of the default 1 host.

For the Docker installation instructions, see the .

Generate the auth-token.json file and save it in the ~/.weka directory you created. See the topic.

It is highly recommended to create a local user with ReadOnly privilege just for the Weka-mon package and use it for cluster communications. To create a local user, see the topic.

: Obtain the Weka-mon package from the GitHub repository by downloading or cloning.

: The script creates a few directories and sets their permissions.

: The export.yml file contains the Weka-mon and the exporter configuration. Customize the file according to your actual Weka deployment.

: The quota-export.yml file contains the configuration of the quota-export container. Customize the file according to your actual Weka deployment.

: Once done, you can connect to Grafana on port 3000 of the management server running the docker containers.

Go to

3. Optional. In the exporter section, customize the values according to your preferences. For details, see the topic below.

The configuration of the Alert Manager is defined in the alertmanager.yml file found in the etc_alertmanager directory. It contains details about the SMTP server, user email addresses, quotas, and alert rules. To set this file, contact the .

Follow the steps in the section.

In the Grafana application, import the dashboard JSON files from the directory weka-mon/var_lib_grafana/dashboards. For instructions, see the topic in Grafana documentation.

Follow steps and in the above sections.

(if you have a docker, this is the simple method).

(if you do not have a docker, use this option)

(requires installing a few Python Modules from PyPi).

Go to and download the tarball from the latest release.

Run the exporter as follows (for the description of the command-line parameters, see the ):

Go to and download the source tarball.

Run the exporter (for the description of the command-line parameters, see the ):

Docker website
Obtain authentication tokens
https://github.com/weka/weka-mon/releases.
Import dashboard
https://github.com/weka/export/releases
https://github.com/weka/export/releases
Obtain the Weka-mon package
Run the install.sh script
Edit the export.yml file
Edit the quota-export.yml file
Start the docker-compose containers
Download the Weka-mon source code
Clone the repository
Exporter configuration options
1. Obtain the Weka-mon package
3
4
Run the exporter in the docker container
Run the exporter as a compiled binary
Run the exporter as a Python script
Exporter section parameters
Exporter section parameters
Grafana
Prometheus
Customer Success Team
Create local users
Weka-mon setup
Weka enriched monitoring data on the Grafana dashboard example