PostgreSQL Metrics
Ship your PostgreSQL Metrics via Telegraf to your Logit.io Stack
Configure Telegraf to ship PostgreSQL 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 postgresql servers
[[inputs.postgresql]]
## Specify address via a url matching:
## postgres://[pqgotest[:password]]@localhost[/dbname]?sslmode=[disable|verify-ca|verify-full]&statement_timeout=...
## or a simple string:
## host=localhost user=pqgotest password=... sslmode=... dbname=app_production
## Users can pass the path to the socket as the host value to use a socket
## connection (e.g. `/var/run/postgresql`).
##
## All connection parameters are optional.
##
## Without the dbname parameter, the driver will default to a database
## with the same name as the user. This dbname is just for instantiating a
## connection with the server and doesn't restrict the databases we are trying
## to grab metrics for.
##
address = "host=localhost user=postgres sslmode=disable"
## A custom name for the database that will be used as the "server" tag in the
## measurement output. If not specified, a default one generated from
## the connection address is used.
# outputaddress = "db01"
## connection configuration.
## maxlifetime - specify the maximum lifetime of a connection.
## default is forever (0s)
##
## Note that this does not interrupt queries, the lifetime will not be enforced
## whilst a query is running
# max_lifetime = "0s"
## A list of databases to explicitly ignore. If not specified, metrics for all
## databases are gathered. Do NOT use with the 'databases' option.
# ignored_databases = ["postgres", "template0", "template1"]
## A list of databases to pull metrics about. If not specified, metrics for all
## databases are gathered. Do NOT use with the 'ignored_databases' option.
# databases = ["app_production", "testing"]
## Whether to use prepared statements when connecting to the database.
## This should be set to false when connecting through a PgBouncer instance
## with pool_mode set to transaction.
prepared_statements = true
Read more about how to configure data scraping and configuration options for PostgreSQL (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 PostgreSQL Overview
To efficiently monitor and analyze PostgreSQL metrics across a distributed environment, a reliable and efficient metrics management solution is essential. Telegraf is an open-source server agent well-suited for this role, capable of gathering PostgreSQL metrics from numerous sources, including operational PostgreSQL instances, databases, and other relevant applications.
Telegraf offers a wide range of input plugins, enabling the collection of various metrics such as CPU usage, memory utilization, network traffic, and more. These are key to understanding PostgreSQL performance. To store and analyze these metrics, organizations can use Prometheus, an open-source monitoring and alerting toolkit known for its flexible querying language and impressive data visualization capabilities.
The process of transmitting PostgreSQL metrics from Telegraf to Prometheus involves configuring Telegraf to output metrics in the Prometheus format, and then setting up Prometheus to scrape these metrics from the Telegraf server. This involves setting up Telegraf to collect PostgreSQL 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.
After the successful integration of the metrics into Prometheus, further analysis and visualization can be carried out using Grafana. Grafana is a leading open-source platform known for its monitoring and observability features, and is fully compatible with Prometheus. It allows users to create dynamic, interactive dashboards for a deeper dive into the metrics data, providing a comprehensive understanding of performance trends and potential issues within the PostgreSQL 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.