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Is PostgreSQL Down? Current Status, Outage Reports & User Feedback

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Frequently Asked Questions

Connection issues may be caused by network configuration, authentication failures, or service disruptions. Verify your connection parameters (host, port, credentials) are correct, check if PostgreSQL service is running, and ensure your client IP address is allowed in pg_hba.conf configuration.

Connection limit errors occur when you've reached the maximum allowed concurrent connections. Check your PostgreSQL max_connections setting, identify and close idle connections, and consider implementing connection pooling to manage connection resources more efficiently.

Performance issues can result from inefficient queries, inadequate indexing, or resource constraints. Analyze your slow queries using EXPLAIN ANALYZE, verify appropriate indexes exist for your queries, and check system resources (CPU, memory, disk I/O) for bottlenecks.

Storage errors typically indicate filesystem space limitations or tablespace issues. Check available disk space on the database server, examine table and index sizes to identify growth patterns, and consider cleaning up unnecessary data or expanding storage resources.

Stability issues may be caused by memory constraints, configuration problems, or underlying system issues. Check PostgreSQL error logs for specific crash reasons, verify your shared_buffers and other memory settings are appropriate for your server, and ensure your system has stable power and hardware.

Concurrency errors occur when multiple transactions conflict with each other. Review your application's transaction isolation levels, identify transactions that might be holding locks for extended periods, and consider redesigning high-contention operations to reduce lock conflicts.

Replication issues can stem from network problems, configuration errors, or service disruptions. Check the replication lag metrics, verify WAL (Write-Ahead Log) archiving is functioning correctly, and examine replication connection status between primary and standby servers.

Authentication issues may be caused by credential problems, configuration errors, or service disruptions. Verify username and password combinations are correct, check pg_hba.conf for appropriate authentication methods, and ensure encryption settings match between client and server for SSL connections.

Incident History

Current Incidents

PostgreSQL Potential Outage

Potential Outage

Started: 2025-07-05 12:56

We have detected a potential outage for PostgreSQL.

PostgreSQL Potential Outage

Potential Outage

Started: 2025-07-05 11:41

We have detected a potential outage for PostgreSQL.

Resolved Incidents

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 11:15 Resolved: 2025-07-05 11:26

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 10:42 Resolved: 2025-07-05 11:26

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 10:26 Resolved: 2025-07-05 10:33

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 09:15 Resolved: 2025-07-05 10:07

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 08:50 Resolved: 2025-07-05 10:07

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 08:24 Resolved: 2025-07-05 08:36

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 07:59 Resolved: 2025-07-05 08:06

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 07:31 Resolved: 2025-07-05 07:40

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 06:39 Resolved: 2025-07-05 07:40

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 05:16 Resolved: 2025-07-05 06:19

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 04:36 Resolved: 2025-07-05 04:49

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 03:19 Resolved: 2025-07-05 03:44

We have detected a potential outage for PostgreSQL.
Started: 2025-07-05 02:52 Resolved: 2025-07-05 03:03

About PostgreSQL

PostgreSQL is an advanced open-source relational database management system that provides robust data storage, transaction processing, and querying capabilities with support for both SQL and JSON data formats. The database system offers features including complex queries, foreign keys, triggers, updatable views, and transactional integrity, alongside extensibility through custom functions, data types, and procedural languages, making it suitable for a wide range of applications from small projects to enterprise-grade systems handling terabytes of data.

Startups and small businesses implement PostgreSQL as their primary database due to its reliability, feature completeness, and zero licensing costs, using it to store critical application data while avoiding vendor lock-in. Web development teams rely on PostgreSQL for content management systems, e-commerce platforms, and custom applications, taking advantage of its JSON support for flexible schema design alongside traditional relational structures. Data science groups utilize PostgreSQL's analytical capabilities including window functions and common table expressions for complex data transformations, while enterprise organizations deploy PostgreSQL for mission-critical systems requiring high data integrity, complex permissions, and integration with existing infrastructure.

Users may encounter various types of issues when operating PostgreSQL databases, including temporary performance degradation during vacuum operations, occasional connection pool exhaustion under unexpected load spikes, or brief query slowdowns during statistics collection. Schema migration and index creation on large tables might cause momentary performance impacts. Database backups could temporarily increase I/O load affecting concurrent operations. High write volumes might lead to WAL (Write-Ahead Log) generation outpacing disk write speeds, causing transactions to slow. During major version upgrades, users might experience extended downtime for data migration and compatibility adjustments. Resource constraints including CPU, memory, or disk I/O limitations could manifest as increased query latency or connection timeouts, particularly on inadequately provisioned systems.

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