Pandastack Documentation
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On this page
  • Deployment Steps
  • Instance Types
  • Features
  • Monitoring
  • Backup Management
  • Connection Information
  • Best Practices
  • Troubleshooting
  • Optimization Tips
  1. Getting Started
  2. Databases

MySQL

MySQL is a popular open-source relational database management system known for its speed, reliability, and ease of use. It's widely used for web applications and online transaction processing.

Deployment Steps

  1. From the dashboard, click "Create New" and select "MySQL"

  2. Configure your database:

    • Name: Enter a unique identifier for your database

    • Description: Add a description to help identify the database purpose

    • Version: Select your preferred MySQL version

    • Username/Password: Set credentials for database access

    • Visibility: Choose between public or private access

    • DB Name: Specify the name for your primary database

    • Backup: Enable/disable automated backups

Instance Types

Choose the instance type that best fits your workload:

  • Free Tier

    • Perfect for development and testing

    • Limited resources but no cost

    • Run 1 database for free

  • Standard

    • Balanced resources for general use

    • Recommended for production workloads

  • C1/C2 Compute

    • Optimized for compute-intensive workloads

    • Ideal for heavy query processing

  • M1/M2 Memory

    • Optimized for memory-intensive workloads

    • Perfect for large datasets and caching

Features

  1. Core Features

    • ACID compliance

    • Replication support

    • Partitioning

    • Stored procedures

    • Triggers

    • Views

    • Full-text indexing

    • Transaction support

  2. Security Features

    • Access privilege system

    • SSL/TLS encryption

    • Password validation

    • Connection limits

    • Query limiting

Monitoring

Monitor your MySQL instance through:

  1. Logs Tab

    • Real-time log streaming

    • Search functionality

    • Error highlighting

    • Timestamp-based filtering

  2. Metrics

    • CPU usage

    • Memory utilization

    • Disk usage

    • Network transfer

    • Query performance

    • Connection count

    • Buffer pool statistics

    • InnoDB metrics

Backup Management

Manage your database backups:

  1. Automated Backups

    • Enable/disable automated backups

    • Set backup window

    • Configure retention period

    • Binary log backup

    • Point-in-time recovery

  2. Backup Tab

    • View backup history

    • Initiate manual backups

    • Restore from backup

    • Download backup files

    • Manage binary logs

Connection Information

After deployment, you'll receive:

  • Connection URL

  • Authentication credentials

  • Port information

  • SSL/TLS certificates (if applicable)

Example connection string:

mysql://username:password@hostname:port/database

Best Practices

  1. Security

    • Use private visibility when possible

    • Implement strong passwords

    • Regularly rotate credentials

    • Limit network access

    • Enable SSL/TLS encryption

    • Regular security audits

  2. Performance

    • Monitor resource utilization

    • Choose appropriate instance type

    • Optimize queries

    • Proper indexing strategy

    • Regular maintenance

    • Configure InnoDB buffer pool

    • Use connection pooling

  3. Backup

    • Enable automated backups

    • Configure binary logging

    • Test restore procedures

    • Keep backup window during low-traffic periods

    • Maintain backup copies

    • Monitor backup success

Troubleshooting

Common issues and solutions:

  1. Connection Issues

    • Verify network access

    • Check credentials

    • Confirm port accessibility

    • Validate SSL/TLS settings

    • Review max_connections setting

  2. Performance Problems

    • Monitor resource metrics

    • Check slow query log

    • Review index usage

    • Analyze query plans

    • Check table fragmentation

    • Monitor buffer pool usage

    • Review connection handling

  3. Backup Failures

    • Verify storage space

    • Check backup user permissions

    • Review backup logs

    • Validate backup configuration

    • Check binary log settings

    • Monitor backup process

Optimization Tips

  1. Query Optimization

    • Use EXPLAIN to analyze queries

    • Create proper indexes

    • Avoid SELECT *

    • Use appropriate data types

    • Optimize JOIN operations

    • Consider partitioning

  2. Configuration Optimization

    • Tune buffer pool size

    • Configure query cache

    • Optimize table settings

    • Set appropriate timeouts

    • Configure thread pool

    • Optimize file system settings

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Last updated 3 months ago