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home / skills / jeremylongshore / claude-code-plugins-plus-skills / monitoring-database-transactions

monitoring-database-transactions skill

/plugins/database/database-transaction-monitor/skills/monitoring-database-transactions

This skill helps you automate database transaction monitoring, health checks, and alerting with guided setup and runbooks to improve observability.

npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill monitoring-database-transactions

Review the files below or copy the command above to add this skill to your agents.

Files (7)
SKILL.md
4.8 KB
---
name: monitoring-database-transactions
description: |
  Monitor use when you need to work with monitoring and observability.
  This skill provides health monitoring and alerting with comprehensive guidance and automation.
  Trigger with phrases like "monitor system health", "set up alerts",
  or "track metrics".
  
allowed-tools: Read, Write, Edit, Grep, Glob, Bash(psql:*), Bash(mysql:*), Bash(mongosh:*)
version: 1.0.0
author: Jeremy Longshore <[email protected]>
license: MIT
---
# Database Transaction Monitor

This skill provides automated assistance for database transaction monitor tasks.

## Prerequisites

Before using this skill, ensure:
- Required credentials and permissions for the operations
- Understanding of the system architecture and dependencies
- Backup of critical data before making structural changes
- Access to relevant documentation and configuration files
- Monitoring tools configured for observability
- Development or staging environment available for testing

## Instructions

### Step 1: Assess Current State
1. Review current configuration, setup, and baseline metrics
2. Identify specific requirements, goals, and constraints
3. Document existing patterns, issues, and pain points
4. Analyze dependencies and integration points
5. Validate all prerequisites are met before proceeding

### Step 2: Design Solution
1. Define optimal approach based on best practices
2. Create detailed implementation plan with clear steps
3. Identify potential risks and mitigation strategies
4. Document expected outcomes and success criteria
5. Review plan with team or stakeholders if needed

### Step 3: Implement Changes
1. Execute implementation in non-production environment first
2. Verify changes work as expected with thorough testing
3. Monitor for any issues, errors, or performance impacts
4. Document all changes, decisions, and configurations
5. Prepare rollback plan and recovery procedures

### Step 4: Validate Implementation
1. Run comprehensive tests to verify all functionality
2. Compare performance metrics against baseline
3. Confirm no unintended side effects or regressions
4. Update all relevant documentation
5. Obtain approval before production deployment

### Step 5: Deploy to Production
1. Schedule deployment during appropriate maintenance window
2. Execute implementation with real-time monitoring
3. Watch closely for any issues or anomalies
4. Verify successful deployment and functionality
5. Document completion, metrics, and lessons learned

## Output

This skill produces:

**Implementation Artifacts**: Scripts, configuration files, code, and automation tools

**Documentation**: Comprehensive documentation of changes, procedures, and architecture

**Test Results**: Validation reports, test coverage, and quality metrics

**Monitoring Configuration**: Dashboards, alerts, metrics, and observability setup

**Runbooks**: Operational procedures for maintenance, troubleshooting, and incident response

## Error Handling

**Permission and Access Issues**:
- Verify credentials and permissions for all operations
- Request elevated access if required for specific tasks
- Document all permission requirements for automation
- Use separate service accounts for privileged operations
- Implement least-privilege access principles

**Connection and Network Failures**:
- Check network connectivity, firewalls, and security groups
- Verify service endpoints, DNS resolution, and routing
- Test connections using diagnostic and troubleshooting tools
- Review network policies, ACLs, and security configurations
- Implement retry logic with exponential backoff

**Resource Constraints**:
- Monitor resource usage (CPU, memory, disk, network)
- Implement throttling, rate limiting, or queue mechanisms
- Schedule resource-intensive tasks during low-traffic periods
- Scale infrastructure resources if consistently hitting limits
- Optimize queries, code, or configurations for efficiency

**Configuration and Syntax Errors**:
- Validate all configuration syntax before applying changes
- Test configurations thoroughly in non-production first
- Implement automated configuration validation checks
- Maintain version control for all configuration files
- Keep previous working configuration for quick rollback

## Resources

**Configuration Templates**: `{baseDir}/templates/database-transaction-monitor/`

**Documentation and Guides**: `{baseDir}/docs/database-transaction-monitor/`

**Example Scripts and Code**: `{baseDir}/examples/database-transaction-monitor/`

**Troubleshooting Guide**: `{baseDir}/docs/database-transaction-monitor-troubleshooting.md`

**Best Practices**: `{baseDir}/docs/database-transaction-monitor-best-practices.md`

**Monitoring Setup**: `{baseDir}/monitoring/database-transaction-monitor-dashboard.json`

## Overview

This skill provides automated assistance for the described functionality.

## Examples

Example usage patterns will be demonstrated in context.

Overview

This skill monitors database transactions and helps you design, deploy, and maintain observability for transactional systems. It guides assessment, implementation, testing, and production rollout while producing artifacts like monitoring configs, runbooks, and automation scripts. Use it to establish reliable health checks, alerts, and performance baselines for database workloads.

How this skill works

The skill inspects current configurations, baselines metrics, and integration points to identify gaps and risks. It generates implementation plans, templates, and scripts for non-production testing, then validates behavior via automated tests and comparisons to baseline metrics. On deployment it applies monitoring configurations, dashboards, and alert rules and documents runbooks and rollback procedures.

When to use it

  • Setting up end-to-end transaction monitoring for a new database service
  • Hardening observability after recurring transaction failures or performance regressions
  • Creating repeatable monitoring and alerting templates across environments
  • Preparing production deployment with validated rollback and runbooks
  • Auditing permissions, network, or resource constraints impacting transactions

Best practices

  • Assess baseline metrics and document dependencies before changes
  • Implement and test changes in staging first, with a clear rollback plan
  • Use least-privilege service accounts for any automation or privileged operations
  • Automate configuration validation and include syntax checks in CI/CD pipelines
  • Schedule resource-heavy tasks during low-traffic windows and use rate limiting when needed

Example use cases

  • Create dashboards and transaction latency alerts for a high-throughput payments DB
  • Deploy automated scripts to validate transaction consistency after schema changes
  • Set up exponential-backoff retry patterns and monitoring for intermittent connection failures
  • Produce runbooks and approval artifacts for a scheduled production migration
  • Automate permission checks and service-account provisioning for monitoring agents

FAQ

What prerequisites are required to use this skill?

You need appropriate credentials and permissions, access to architecture docs, a backup of critical data, and a development or staging environment for testing.

How does the skill handle failures during deployment?

It enforces testing in non-production, requires a documented rollback plan, recommends real-time monitoring during deployment, and produces runbooks for recovery and incident response.