PostgreSQL Logs Monitoring & Observability

PostgreSQL Logs Monitoring refers to the process of tracking and analyzing logs generated by PostgreSQL databases. It is crucial for identifying performance issues, debugging queries, and ensuring the security of your database. Monitoring PostgreSQL logs helps in optimizing database performance and maintaining data integrity.

Monitoring PostgreSQL logs in Atatus enables you to gain visibility into your database's performance, detect issues early, and ensure optimal operation. Atatus provides a centralized platform for log aggregation, analysis, and visualization, making it easier to troubleshoot problems and optimize database performance.

To start monitoring PostgreSQL logs in Atatus, you need to install the Atatus Agent, configure PostgreSQL logs to be written to a file, and then use the Agent's log collection feature to send these logs to Atatus.

Yes, Atatus allows you to set up custom alerts based on specific PostgreSQL log events. You can define alert conditions, thresholds, and notification preferences to receive timely notifications when predefined events occur.

Log data parsing prioritizes customer security by meticulously anonymizing Personally Identifiable Information (PII) data. Sensitive fields can be completely excluded during the parsing process, ensuring the privacy and compliance of customer information.

In PostgreSQL Logs Monitoring, log pipelines are customizable workflows that allow users to filter, parse, and fine-tune log data based on specific criteria.

Log pipelines can be customized by using diverse filters and defining custom parsing rules. Users have the flexibility to configure pipelines to meet their specific monitoring requirements, ensuring that log data is processed and organized according to their preferences.

Yes, log pipelines can be configured to filter log data based on various attributes such as log source, severity, timestamp, or any custom field. This customization allows users to focus on specific aspects of log data that are most relevant to their monitoring goals.

Saved Views in PostgreSQL Logs Monitoring enable you to create and save custom configurations for different troubleshooting scenarios. This feature simplifies collaboration, allows for quick context switching, and automates repetitive tasks, significantly improving overall efficiency.

If you exceed your log ingestion limits, we would contact you to discuss on stopping further processing new log data or upgrade your subscription.

You can choose to store logs in Atatus for a limited time (e.g., 7 days) or export them to external storage solutions like Amazon S3 for long-term retention.

To access historical log data beyond the retention period, you can rely on log data exports from Amazon S3, where you can push the logs into Atatus for further analysis.

Yes, Atatus provides users with the flexibility to customize log retention settings. Users can adjust retention periods based on their specific needs, aligning with compliance standards or internal data management policies.