Database Tools Investigation

Overview

Klaudia's Database Tools enable intelligent investigation and troubleshooting of database connectivity, performance, and operational issues affecting your Kubernetes workloads. When applications experience database-related failures, Klaudia can correlate application errors with database health, connection pool exhaustion, query timeouts, and infrastructure issues to provide actionable root cause analysis.

Database issues are among the most common causes of application failures in cloud-native environments. Whether it's a Redis connection timeout causing session failures, a PostgreSQL connection pool exhaustion, or Elasticsearch cluster health degradation, Klaudia's database investigation tools help you quickly identify and resolve these critical issues.

Supported Tools

Tool	Description
PostgreSQL	Relational database investigation including connection issues, query performance, and replication lag
Redis	In-memory data store investigation including connection failures, memory issues, and cluster state
Elasticsearch	Search and analytics engine investigation including cluster health, indexing issues, and query performance

What Klaudia Can Do

General Capabilities

Connection Diagnostics: Identify connection failures, timeouts, and authentication issues
Performance Analysis: Detect slow queries, resource exhaustion, and bottlenecks
Health Monitoring: Correlate application errors with database health status
Configuration Validation: Identify misconfigurations affecting database connectivity
Error Correlation: Link application exceptions to underlying database issues

PostgreSQL

Investigate connection pool exhaustion and connection timeouts
Identify replication lag affecting read replicas
Troubleshoot authentication and permission failures
Examine disk space and resource utilization issues
Detect connection string misconfigurations

Redis

Investigate connection refused and timeout errors
Identify cluster slot migration issues
Troubleshoot pub/sub and stream consumer problems
Examine persistence (RDB/AOF) failures
Detect sentinel failover and connectivity issues

Elasticsearch

Investigate cluster health (red/yellow status)
Analyze indexing failures and mapping conflicts
Troubleshoot search query timeouts and circuit breaker trips
Examine node disk watermark and resource pressure

When Klaudia Uses Database Tools - Usage Examples

Klaudia automatically engages database investigation tools in the following scenarios:

Root Cause Analysis (RCA)

When application pods show database-related errors in their logs:

Connection refused or timeout errors to database endpoints
Authentication failures with database services
Query execution errors or timeouts

Troubleshooting Unhealthy Resources

When investigating unhealthy pods that interact with databases:

Application pods in CrashLoopBackOff with database connection errors
Pods showing increased latency due to database performance
Services experiencing degraded availability from database issues

Chat Sessions

When you ask Klaudia questions about database-related problems:

"Why is my app getting Redis connection timeouts?"
"What's causing PostgreSQL connection pool exhaustion?"
"Why is my Elasticsearch cluster showing yellow status?"