POSTGRESQL OBSERVABILITY & DIAGNOSTICS

TaranTuner

A unified PostgreSQL workflow for real-time monitoring, ASH-based workload analysis, SQL tuning, operations and reporting.

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Observe, diagnose
and prove improvement.

TaranTuner connects host resources, database activity, session history, Wait Events and execution plans so teams can diagnose current incidents and reconstruct past slowdowns.

Investigate both current incidents and past performance degradation. TaranTuner brings together database operational expertise, including lock control, execution-plan analysis and automated reporting.

ASHActive Session History support
LiveSession and lock diagnostics
RCARoot-cause analysis
Before/AfterRecord tuning results

TaranTuner addresses four operational challenges.

01

Fragmented tools

Root-cause analysis often requires several tools: infrastructure monitoring for CPU, psql for sessions and separate logs for slow queries. Connecting symptoms to causes becomes a manual task.

  • TaranTuner links server monitoring, database activity and SQL analysis through chart-range selection and contextual navigation.
02

Disconnected historical and live analysis

Historical analysis of what happened and real-time diagnosis of what is happening are separated across tools and screens, making past performance incidents especially difficult to trace.

  • Analyze current Session Monitor activity and historical ASH workloads through the same SQL_ID and Wait Event perspectives.
03

Tuning without evidence

Improvements can remain subjective without numbers to prove results or trace later regressions. Recording each attempt manually is cumbersome.

  • Continue from root-cause identification to improvement and verification with SQL Editor, execution plans, Advisor and Tuning Journal.
04

Repeated manual reporting

Database operating status and key performance metrics need regular reports, but gathering and documenting the data every time is labor-intensive.

  • TaranTuner organizes the required operational metrics and automatically generates periodic reports instead of requiring repeated manual collection.

Detect the signal, narrow down the cause,
then act and report.

Overview→ASH→SQL Performance→Plan & Advisor→Tuning Journal
Protecting the production database

Restrict analytical access primarily to read-only SELECT queries. Permission models, audit logs, session safeguards and license host binding maintain strict operational control.

From live observation to operational governance

REAL-TIME

Instances & Server Detail

Observe CPU, memory, disk, network and database KPIs in real time, then move from a selected chart interval to detailed analysis.

ANALYSIS

ASH & SQL Performance

Session samples at approximately three-second intervals and cumulative pg_stat_statements statistics reveal workload levels, Wait Classes and tuning priorities.

DBA TOOLS

Session Monitor & SQL Editor

Identify the root blocker with Lock Tree and distinguish Cancel from Terminate. Analyze execution plans through Tree, Grid, Advisor, Stats and Raw views.

INSIGHT

Database · Object · Log

Analyze database and object growth and efficiency while reviewing server logs, Live Log and Slow Query information together.

GOVERNANCE

RBAC & Audit Log

Support admin, dba, viewer and custom roles. Record logins, CRUD actions, settings, SQL execution and session actions in audit logs.

RELIABILITY

Alerts & Diagnostics

Detect anomalies with baseline and threshold rules. Self-check database, licensing, extensions, cache and authentication status.

Cross-check server metrics, history and live activity.

Separate three data sources by responsibility to analyze incidents and historical activity while minimizing production database overhead.

Host Metrics · CPU · Memory · Disk · NetworkRepository · ASH · SQL · Plans · CheckpointsLive Target DB · Sessions · Locks · CatalogTaranTuner Analysis & Operations

Familiar performance concepts for the transition to PostgreSQL

FAMILIAR MODEL

SQL_ID · ASH · AWR · Wait Class

Map familiar Oracle performance-analysis concepts to PostgreSQL metrics so existing DBAs and tuning specialists can adapt quickly.

MEASURABLE CHANGE

Plan · Advisor · Journal

Explain problems using execution plans and measurements, and version each tuning attempt to make improvements reproducible.

Production database protection

TaranTuner reads only the information it needs without changing production database data. Limit access permissions and authorized servers, with usage records for safe management.

REAL-TIME

Live operations

Monitor instances, resources, sessions, locks and root blockers.

ANALYSIS

ASH & SQL

Use three-second session samples and cumulative SQL statistics to find workload drivers.

EVIDENCE

Tuning Journal

Record plan changes and Before/After metrics for every tuning attempt.

Design the right data platform
for your environment.

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