PgBouncer Metrics
Ship your PgBouncer Metrics via Telegraf to your Logit.io Stack
Configure Telegraf to ship PgBouncer metrics to your Logit.io stacks via Logstash.
Install Integration
Install Telegraf
This integration allows you to configure a Telegraf agent to send your metrics, in multiple formats, to Logit.io.
Choose the installation method for your operating system:
When you paste the command below into Powershell it will download the Telegraf zip file.
Once that is complete, press Enter again and the zip file will be extracted into C:\Program Files\InfluxData\telegraf\telegraf-1.31.2
.
wget https://dl.influxdata.com/telegraf/releases/telegraf-1.31.2_windows_amd64.zip -UseBasicParsing -OutFile telegraf-1.31.2_windows_amd64.zip
Expand-Archive .\telegraf-1.31.2_windows_amd64.zip -DestinationPath 'C:\Program Files\InfluxData\telegraf'
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.
# Read metrics from one or many pgbouncer servers
[[inputs.pgbouncer]]
## specify address via a url matching:
## postgres://[pqgotest[:password]]@host:port[/dbname]\
## ?sslmode=[disable|verify-ca|verify-full]
## or a simple string:
## host=localhost port=5432 user=pqgotest password=... sslmode=... dbname=app_production
##
## All connection parameters are optional.
##
address = "host=localhost user=pgbouncer sslmode=disable"
Read more about how to configure data scraping and configuration options for PgBouncer (opens in a new tab)
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://@metricsUsername:@metricsPassword@@metrics_id-vm.logit.io:@vmAgentPort/api/v1/write"
data_format = "prometheusremotewrite"
[outputs.http.headers]
Content-Type = "application/x-protobuf"
Content-Encoding = "snappy"
Start Telegraf
From the location where Telegraf was installed (C:\Program Files\InfluxData\telegraf\telegraf-1.31.2
) run the program
providing the chosen configuration file as a parameter:
.\telegraf.exe --config telegraf-demo.conf
Once Telegraf is running you should see output similar to the following, which confirms the inputs, output and basic configuration the application has been started with:
View your metrics
Data should now have been sent to your Stack.
View My DataIf you don't see take a look at How to diagnose no data in Stack below for how to diagnose common issues.
How to diagnose no data in Stack
If you don't see data appearing in your stack after following this integration, take a look at the troubleshooting guide for steps to diagnose and resolve the problem or contact our support team and we'll be happy to assist.
Telegraf PgBouncer Overview
For the effective monitoring and analysis of PgBouncer metrics across a distributed environment, it's crucial to implement a robust and efficient metrics management solution. Telegraf, an open-source server agent for collecting and reporting metrics, is well-suited for this role. It can gather PgBouncer metrics from various sources, including operational PgBouncer instances, databases, and other relevant applications.
Telegraf features a wide range of input plugins, allowing users to collect diverse metrics such as CPU usage, memory utilization, network traffic, and more. These metrics are vital for understanding PgBouncer performance. To store and analyze these collected metrics, organizations can utilize Prometheus, an open-source monitoring and alerting toolkit known for its flexible querying language and powerful data visualization capabilities.
To transmit PgBouncer metrics from Telegraf to Prometheus, organizations need to configure Telegraf to output metrics in the Prometheus format, and then set up Prometheus to scrape these metrics from the Telegraf server. This involves setting up Telegraf to collect PgBouncer metrics, outputting them in the Prometheus format, configuring Prometheus to retrieve these metrics from the Telegraf server, and then visually interpreting the data using Prometheus's dynamic querying and graphical visualization tools.
Upon successful integration of the metrics into Prometheus, further analysis and visualization can be carried out using Grafana. Grafana, a leading open-source platform known for its monitoring and observability features, is fully compatible with Prometheus. It allows users to create dynamic, interactive dashboards for an in-depth look at the metrics data, providing a comprehensive understanding of performance trends and potential issues in the PgBouncer system.
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.