What is pghealth?
pghealth is an AI & ML-powered PostgreSQL health check tool designed for teams that want to ensure their databases run at peak performance, scalability, and reliability.
Unlike traditional one-off assessments or manual DBA reviews, pghealth provides continuous PostgreSQL diagnostics, adaptive health scoring, anomaly detection, and actionable recommendations β all without installing agents or disrupting your systems.
It goes far beyond basic monitoring, delivering AI-driven insights, trend-aware analysis, and enterprise-level support for mission-critical PostgreSQL databases.
Why pghealth?
Running PostgreSQL at scale is challenging. Performance issues often remain hidden until they cause outages.
Traditional health checks are manual, slow, and error-prone. Even with monitoring systems in place, DBAs often struggle to answer:
- What is the current health of my PostgreSQL cluster?
- Which queries, indexes, or settings pose the biggest risk?
- How fast is my data growing, and when will storage or bloat become critical?
- Am I meeting SLA requirements, or are silent risks building up?
pghealth answers these questions with precision, providing clear scoring, AI/ML-powered diagnostics, and preventive recommendations β all without requiring external consultants or heavy installations.
Key Capabilities
π Adaptive Health Scoring
- Collects hundreds of PostgreSQL metrics β from query performance to configuration, replication, memory, and storage usage.
- Each metric is weighted by its impact on performance, producing a single health score to prioritize what matters most.
- With Machine Learning, pghealth continuously adapts how metrics are scored as it learns your databaseβs unique workload and behavior β making health scoring smarter, more accurate, and context-aware over time.
β‘ AI-Powered Insights & Guided Actions
- Every finding comes with AI-driven interpretation and recommended actions.
- pghealth leverages Machine Learning to understand your databaseβs normal behavior, helping distinguish between expected workload patterns and true anomalies.
- Instead of endless documentation searching, pghealth provides step-by-step remediation advice so you know exactly how to fix or prevent issues.
π€ Query Advisor AI
Query Advisor AI automatically analyzes slow or inefficient queries and provides AI-driven optimization insights β helping you understand not only whatβs slow, but why.
Once enabled, it continuously examines query patterns and execution plans, generating detailed recommendations for performance improvement, including:
- βοΈ Execution plan inefficiencies β identifies suboptimal joins, nested loops, and planning issues
- π§ Missing index suggestions β detects opportunities for new or composite indexes to speed up execution
- βοΈ Query rewriting opportunities β recommends simpler or more efficient query alternatives
- π Buffer and trigger behavior insights β highlights high I/O cost operations and trigger-related overhead
By combining PostgreSQL statistics with AI-driven analysis, Query Advisor AI gives you a complete understanding of whatβs happening behind the scenes β enabling faster, data-backed query optimization.
π Learn how to enable Query Advisor AI β
π Historical Tracking, Trend Analysis & Anomaly Detection
pghealth uses AI & ML to learn from past reports, enabling you to:
- Compare current and past performance
- Detect trends, anomalies, and deviations from normal behavior
- Monitor growth patterns of tables, indexes, and bloat
π οΈ Enterprise-Grade Deep Dive
Not a lightweight script β pghealth performs deep diagnostics across PostgreSQL internals:
- Replication lag
- Autovacuum efficiency
- Locking behavior
- Query execution statistics
π Agentless & Secure
- No installation required.
- Secure, agentless mode reduces overhead and ensures enterprise compliance.
π₯ Built for Teams & Enterprises
- Role-based team management & access control
- SaaS or on-premise deployment options
- Enterprise SLAs and dedicated support
- Scalable across multiple clusters and environments
Who is pghealth for? (Target Audience)
pghealth is designed for every team that manages mission-critical PostgreSQL systems:
- Database Administrators (DBAs): Automate daily health checks, validate configurations, and reduce SLA risks.
- Developers: Identify slow queries, index issues, and configuration pitfalls β with clear AI-powered guidance to improve performance.
- DevOps Teams: Gain visibility into database health scoring, detect anomalies early, and streamline incident response.
- System Administrators: Monitor storage growth, table bloat, and replication health to improve capacity planning.
- IT Managers / CIOs: Use adaptive health scores and executive-ready reports to assess risks and ensure compliance.
By tailoring insights to each role, pghealth helps organizations work more efficiently and confidently with PostgreSQL.
When to Use pghealth
Organizations run pghealth regularly to keep PostgreSQL healthy:
- Weekly or monthly checks for continuous assurance
- Before and after major changes (migrations, upgrades, schema redesigns)
- During performance incidents to quickly identify bottlenecks
- As part of compliance & SLA monitoring
By running pghealth proactively, enterprises can detect issues weeks or months before downtime occurs.
The Enterprise Advantage
Many monitoring tools only show raw numbers. pghealth goes further by delivering:
- AI & ML-powered diagnostic analysis, not just surface-level metrics
- Adaptive health scoring that evolves as pghealth learns from your database
- Context-aware recommendations tailored for PostgreSQL internals
- Enterprise support & advisory, ensuring teams can act effectively
- Future-proofing β uncovering risks before they turn into outages
For mission-critical PostgreSQL workloads, pghealth acts as a virtual DBA assistant, giving teams both visibility and expert-level guidance at scale.
Try pghealth Free Today π
Start your journey toward a healthier PostgreSQL with pghealth.
You can explore all features immediately with a free trial β no installation required.
π Start Free Trial
