Already have an account? Sign In
Filebeat is a lightweight shipper that enables you to send your PostgreSQL application logs to Logstash and Elasticsearch. Configure Filebeat using the pre-defined examples below to start sending and analysing your PostgreSQL application logs.
curl -L -O https://artifacts.elastic.co/downloads/beats//-oss-7.15.1-amd64.deb sudo dpkg -i -oss-7.15.1-amd64.deb
curl -L -O https://artifacts.elastic.co/downloads/beats//-oss-7.15.1-x86_64.rpm sudo rpm -vi -oss-7.15.1-x86_64.rpm
curl -L -O https://artifacts.elastic.co/downloads/beats//-oss-7.15.1-darwin-x86_64.tar.gz tar xzvf -oss-7.15.1-darwin-x86_64.tar.gz
- Download the Windows zip file from the official downloads page.
- Extract the contents of the zip file into C:\Program Files.
- Rename the
-<version>-windowsdirectory to ``.
- Open a PowerShell prompt as an Administrator (right-click the PowerShell icon and select Run As Administrator). If you are running Windows XP, you may need to download and install PowerShell.
- Run the following commands to install as a Windows service:
cd 'C:\Program Files\' .\install-service-.ps1
PowerShell.exe -ExecutionPolicy UnRestricted -File .\install-service-.ps1.
There are several built in filebeat modules you can use. To enable the PostgreSQL module run.
sudo filebeat modules list sudo filebeat modules enable postgresql
cd <EXTRACTED_ARCHIVE> ./filebeat modules list ./filebeat modules enable postgresql
cd <EXTRACTED_ARCHIVE> .\filebeat.exe modules list .\filebeat.exe modules enable postgresql
Additional module configuration can be done using the per module config files located in the modules.d folder, most commonly this would be to read logs from a non-default location
- module: postgresql # All logs log: enabled: true # Set custom paths for the log files. If left empty, # Filebeat will choose the paths depending on your OS. #var.paths:
We'll be shipping to Logstash so that we have the option to run filters before the data is indexed.
Comment out the elasticsearch output block.
## Comment out elasticsearch output #output.elasticsearch: # hosts: ["localhost:9200"]
Let's check the configuration file is syntactically correct by running directly inside the terminal.
If the file is invalid, will print an
error loading config file error message with details on how to correct the problem.
sudo -e -c /etc//.yml
cd <EXTRACTED_ARCHIVE> ./ -e -c .yml
cd <EXTRACTED_ARCHIVE> .\.exe -e -c .yml
Ok, time to start ingesting data!
sudo systemctl enable filebeat sudo systemctl start filebeat
PS C:\Program Files\Filebeat> Start-Service filebeat
The PostgreSQL module comes with predefined Kibana dashboards. To view your dashboards for any of your Logit.io stacks, launch Kibana and choose Dashboards.
PostgreSQL (often shortened to Postgres) is a highly stable open-source relational database that supports both relational & non-relational querying. Postgres can run across the majority of operating systems including Linux, Windows & macOS.
PostgreSQL is used by some of the world’s best known brands including Apple, IMDB, Red Hat & Cisco due to its robust feature set, useful addons & scalability.
Some of the benefits of using this database include their support for the majority of programming languages as well as it’s strengths as a reliable transactional database for companies of all sizes.
PostgreSQL users are encouraged to log as much as possible as with insufficient configuration you could easily lose access to key messages for troubleshooting and error resolution. Below are some of the most important logs you’ll likely need to analyse when running Postgres.
PostgreSQL transaction logs help the user to identify what queries a transaction encountered.
Remote Host IP/Name (w/ port) logs can serve to help security technicians identify suspicious activity that has occurred. If you are looking to pinpoint troublesome sessions affecting your infrastructure you might turn to Process ID logs for further insights.
When it comes to logging in Postgres there are twenty three other parameters which can be isolated for troubleshooting using the various keywords; ERROR, FATAL, WARNING, & PANIC.
With all these logs, directories & parameters it is easy to become overwhelmed at the prospect of having to thoroughly analyse your log data & you may wish to use a log management system to streamline your processes.
Our built in PostgreSQL log file analyser helps DBAs, sysadmins, and developers identify issues, create visualisations & set alerts when preconfigured and custom parameters are met.
If you need any assistance with analysing your PostgreSQL logs we're here to help. Feel free to reach out by contacting the Logit.io support team via live chat & we'll be happy to help you start analysing your data.