Key features
- Log-based analysis: no APAC runtime agent or database overhead
- HTML reports: query frequency, duration P50/P95/P99, most time-consuming APAC queries
- Lock wait analysis: identify APAC queries causing lock contention
- Parallel log processing: fast analysis of large APAC PostgreSQL log files
- RDS/Aurora compatible: works with APAC managed PostgreSQL log exports
- Zero cost: open-source with no licensing or SaaS fees for APAC teams
Best for
- APAC DBA teams running PostgreSQL who need no-cost, no-agent slow-query log analysis with rich HTML reports — suitable for compliance environments where APAC query data must not leave the environment.
Limitations to know
- ! Log-based only — cannot capture real-time APAC query performance or alert on threshold breaches
- ! Requires PostgreSQL `log_min_duration_statement` enabled — adds I/O overhead on busy APAC DBs
- ! No APAC visualization for time-series trends; reports are point-in-time log analysis
About pgBadger
pgBadger is an open-source PostgreSQL log analyzer that processes PostgreSQL log files — specifically slow-query logs enabled via `log_min_duration_statement` — and generates rich HTML reports with query frequency histograms, duration percentile distributions, most-called queries by count, most time-consuming queries by cumulative duration, and lock wait analysis. APAC DBA teams use pgBadger as a zero-cost, no-agent alternative to commercial database monitoring for PostgreSQL performance analysis.
Because pgBadger operates on log files rather than database wire protocol interception, it adds no runtime overhead to APAC PostgreSQL instances — suitable for APAC production databases where agent-based monitoring is prohibited by policy or resource constraints. APAC teams typically run pgBadger in a nightly cron job against the previous day's PostgreSQL logs, generating daily performance reports that identify APAC query regression trends and slow-query offenders.
For APAC teams running PostgreSQL on AWS RDS, Aurora PostgreSQL, or Google Cloud SQL, pgBadger parses logs exported to S3 or CloudWatch Logs (after download) — enabling the same log-based analysis workflow without direct filesystem access to the APAC managed database host. pgBadger is particularly valuable for APAC teams that need PostgreSQL performance reports without introducing SaaS monitoring dependencies or transmitting APAC query data outside their environment.
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