RavenDB Metrics via Telegraf
Ship your RavenDB Metrics via Telegraf to your Logit.io Stack
Configure Telegraf to ship RavenDB metrics to your Logit.io stacks via Logstash.
Follow this step by step guide to get 'logs' from your system to Logit.io:
Step 1 - Install Telegraf
This integration allows you to configure a Telegraf agent to send your metrics, in multiple formats, to Logit.io.
Telegraf is a flexible server agent equipped with plug-in support, useful for sending metrics and events from data sources like web servers, APIs, application logs, and cloud services.
To ship your metrics to Logit.io, we will integrate the relevant input and outputs.http plug-in into your Telegraf configuration file.
Choose the install for your operating system below to get started:
Windows
wget https://dl.influxdata.com/telegraf/releases/telegraf-1.19.2_windows_amd64.zip
Download and extract to: C:\Program Files\Logitio\telegraf\
Configuration file: C:\Program Files\Logitio\telegraf\
MacOS
brew install telegraf
Configuration file x86_64 Intel: /usr/local/etc/telegraf.conf
Configuration file ARM (Apple Silicon): /opt/homebrew/etc/telegraf.conf
Ubuntu/Debian
wget -q https://repos.influxdata.com/influxdata-archive_compat.key
echo '393e8779c89ac8d958f81f942f9ad7fb82a25e133faddaf92e15b16e6ac9ce4c influxdata-archive_compat.key' | sha256sum -c && cat influxdata-archive_compat.key | gpg --dearmor | sudo tee /etc/apt/trusted.gpg.d/influxdata-archive_compat.gpg > /dev/null
echo 'deb [signed-by=/etc/apt/trusted.gpg.d/influxdata-archive_compat.gpg] https://repos.influxdata.com/debian stable main' | sudo tee /etc/apt/sources.list.d/influxdata.list
sudo apt-get update
sudo apt-get install telegraf
Configuration file: /etc/telegraf/telegraf.conf
RedHat and CentOS
cat <<EOF | sudo tee /etc/yum.repos.d/influxdata.repo
[influxdata]
name = InfluxData Repository - Stable
baseurl = https://repos.influxdata.com/stable/\$basearch/main
enabled = 1
gpgcheck = 1
gpgkey = https://repos.influxdata.com/influxdata-archive_compat.key
EOF
sudo yum install telegraf
Configuration file: /etc/telegraf/telegraf.conf
SLES & openSUSE
zypper ar -f obs://devel:languages:go/ go
zypper in telegraf
Configuration file: /etc/telegraf/telegraf.conf
FreeBSD/PC-BSD
sudo pkg install telegraf
Configuration file: /etc/telegraf/telegraf.conf
Step 2 - Configure the Telegraf input plugin
The configuration file below is pre-configured to scrape the system metrics from your hosts, add the following code to the configuration file /etc/telegraf/telegraf.conf
from the previous step.
# Reads metrics from RavenDB servers via the Monitoring Endpoints
[[inputs.ravendb]]
## Node URL and port that RavenDB is listening on. By default,
## attempts to connect securely over HTTPS, however, if the user
## is running a local unsecure development cluster users can use
## HTTP via a URL like "http://localhost:8080"
url = "https://localhost:4433"
## RavenDB X509 client certificate setup
# tls_cert = "/etc/telegraf/raven.crt"
# tls_key = "/etc/telegraf/raven.key"
## Optional request timeout
##
## Timeout, specifies the amount of time to wait
## for a server's response headers after fully writing the request and
## time limit for requests made by this client
# timeout = "5s"
## List of statistics which are collected
# At least one is required
# Allowed values: server, databases, indexes, collections
#
# stats_include = ["server", "databases", "indexes", "collections"]
## List of db where database stats are collected
## If empty, all db are concerned
# db_stats_dbs = []
## List of db where index status are collected
## If empty, all indexes from all db are concerned
# index_stats_dbs = []
## List of db where collection status are collected
## If empty, all collections from all db are concerned
# collection_stats_dbs = []
Step 3 - Configure the output plugin
Once you have generated the configuration file, you need to set up the output plug-in to allow Telegraf to transmit your data to Logit.io in Prometheus format. This can be accomplished by incorporating the following code into your configuration file:
[[outputs.http]]
url = "https://<your-metrics-username>:<your-metrics-password>@<your-metrics-stack-id>-vm.logit.io:0/api/v1/write"
data_format = "prometheusremotewrite"
[outputs.http.headers]
Content-Type = "application/x-protobuf"
Content-Encoding = "snappy"
Step 4 - Start Telegraf
Windows
telegraf.exe --service start
MacOS
telegraf --config telegraf.conf
Linux
sudo service telegraf start
for systemd installations
systemctl start telegraf
Step 5 - View your metrics
Data should now have been sent to your Stack.
If you don't see metrics take a look at How to diagnose no data in Stack below for how to diagnose common issues.
Step 6 - How to diagnose no data in Stack
If you don't see data appearing in your Stack after following the steps, visit the Help Centre guide for steps to diagnose no data appearing in your Stack or Chat to support now.
Step 7 - Telegraf RavenDB metrics Overview
To effectively monitor and analyze RavenDB metrics in a distributed environment, it's essential to have a reliable and efficient metrics management solution. Telegraf, an open-source metrics collection agent, is ideally suited for gathering RavenDB metrics from diverse sources, including operational RavenDB instances, databases, and other related applications.
Telegraf offers a wide range of input plugins, allowing users to gather metrics from different sources such as CPU usage, memory usage, network activity, and more. To store and query these collected metrics, organizations can make use of Prometheus, an open-source monitoring and alerting system that supports a flexible querying language and graphical visualization of data.
To ship RavenDB metrics from Telegraf to Prometheus, organizations need to configure Telegraf to output metrics in the Prometheus format, and then use Prometheus to scrape these metrics from the Telegraf server. This process involves setting up Telegraf to collect metrics from RavenDB and output them in the Prometheus format, configuring Prometheus to retrieve the metrics from the Telegraf server, and then visualizing and analyzing the data using Prometheus's flexible querying and graphical visualization capabilities.
Once the metrics have been imported into Prometheus, further analysis and visualization can be carried out using Grafana. Grafana is an open-source platform for monitoring and observability that is perfectly compatible with Prometheus. It allows users to create dynamic and interactive dashboards that provide a more detailed look into the metrics data.
If you need any further assistance with shipping your log data to Logit.io we're here to help you get started. Feel free to get in contact with our support team by sending us a message via live chat & we'll be happy to assist.