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What is Operations?

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Core Functions

The operations section performs the following core functions:
  • Backup and Restore: Data security, backup strategies, and disaster recovery
  • System Health Check: Monitoring the status of platform components and health checks
  • Issue Detection and Troubleshooting: Detection, analysis, and resolution of system errors
  • Performance Optimization: Tuning and optimization to improve system performance
  • Database Management: MongoDB collection cleanup and database maintenance
  • Log Analysis: Log review, analysis, and pattern detection
  • Infrastructure Management: Kubernetes, Docker, and Containerd management
  • Security Management: Certificate control, renewal, and security configurations
  • Monitoring and Alerting: Monitoring system metrics and alert mechanisms

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Use Cases

  • Backup and Disaster Recovery: Regular backup and restore in case of potential data loss
  • Daily System Management: Routine maintenance and control operations
  • Troubleshooting: Resolving system errors and performance issues
  • Performance Improvement: System optimization and improved resource utilization
  • Database Maintenance: Log cleanup and keeping database growth under control
  • Infrastructure Setup: Kubernetes cluster installation and configuration
  • Monitoring Setup: Integration of Prometheus, Grafana, and other monitoring tools

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Operations Modules

The operations section consists of the following modules:

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Backup and Restore

Comprehensive information about backing up MongoDB database and system configurations and restoring from backups. Content:
  • MongoDB backup strategies and methods
  • Backup scheduling and automation
  • Restore operations from backups
  • Backup verification and testing
  • Disaster recovery planning
  • Backup policies and best practices
When to Use:
  • For regular backup operations
  • Before system updates
  • When restoring from data loss
  • In disaster recovery scenarios
  • During system migration
  • Before critical operations

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Database Growth Management

Information about regularly cleaning and managing accumulated logs and data in the MongoDB database. Content:
  • Cleaning various MongoDB collections (apinizer_log, audit_event, history_acl, etc.)
  • Collection cleanup methods and best practices
  • Keeping database growth under control
When to Use:
  • When database size starts to increase
  • When experiencing disk space issues
  • When performance degradation is observed
  • For regular maintenance operations

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Useful Commands

Frequently used commands and practical examples for MongoDB, Kubernetes, Docker, Containerd, and Elasticsearch. Content:
  • MongoDB management commands
  • Kubernetes, Docker, and Containerd commands
  • Elasticsearch management commands
  • Practical usage examples
When to Use:
  • In daily system management operations
  • During troubleshooting processes
  • When quick command reference is needed
  • When writing automation scripts

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Error Code Reference

Descriptions and solution suggestions for error codes that may be encountered in the Apinizer platform. Content:
  • Authentication errors
  • Gateway errors
  • Policy errors
  • Resource errors
  • System errors
When to Use:
  • When encountering system errors
  • When you want to learn the meaning of error codes
  • During troubleshooting processes
  • To understand error messages

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Healthcheck and Version Addresses

Methods for checking the health status and version information of Apinizer modules. Content:
  • Healthcheck addresses for Manager, Worker, Cache, Integration, and Portal modules
  • Version information check
  • Kubernetes and direct access methods
When to Use:
  • During system health checks
  • During version verification operations
  • During issue detection
  • When setting up monitoring and alerting

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Kubernetes

Comprehensive information about Kubernetes installation, management, and integrations. Content:
  • Kubernetes installation guides (Ubuntu, CentOS, RHEL, Rocky Linux)
  • Kubernetes Dashboard installation
  • High Availability cluster configuration
  • Version management with ArgoCD
  • Prometheus and Grafana integration
  • Metric Server installation
  • Private Docker Registry installation
When to Use:
  • When installing Kubernetes cluster
  • During cluster management operations
  • When setting up monitoring and observability
  • When configuring CI/CD pipeline

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Log Analysis Guide

Detailed guides on log analysis, search, and filtering operations. Content:
  • Log search with Kibana
  • Log levels and filtering
  • Log locations
  • Log pattern analysis
  • Alerting based on log patterns
When to Use:
  • When performing issue analysis
  • During log review operations
  • For performance analysis
  • When investigating security incidents

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Performance Tuning

Settings and improvements that can be made to optimize the performance of the Apinizer platform. Content:
  • JVM tuning parameters
  • Connection pooling optimization
  • Cache strategies
  • Database query optimization
  • Network optimization
  • Policy impact analysis
When to Use:
  • When experiencing performance issues
  • During system optimization
  • To improve resource utilization
  • In high-traffic environments

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Troubleshooting

Guides on detecting and resolving various infrastructure and system issues. Content:
  • MongoDB issues and solutions
  • Elasticsearch issues (reindex, curator, scroll API, etc.)
  • Kubernetes, Docker, and Containerd issues
  • Linux issues and disk expansion
  • Certificate control and renewal
  • Log transfer issues
When to Use:
  • When encountering system issues
  • When receiving error messages
  • When performance degradation is observed
  • During system maintenance

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Common Issues and Solutions

Common issues encountered in the Apinizer platform and their solution methods. Content:
  • API Proxy deployment issues
  • Authentication failures
  • Database connection issues
  • High latency and slow response times
  • Memory leaks and OOM errors
  • Performance degradation
  • Policy execution errors
  • Routing issues
  • SSL/TLS certificate issues
When to Use:
  • When encountering common issues
  • When seeking quick solutions
  • To learn issue patterns
  • To understand best practices

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Administrator Guides

Advanced management operations, integrations, and special configurations. Content:
  • SSL/TLS certificate management
  • LDAP integration
  • Prometheus and Grafana integration
  • MongoDB automatic backup
  • Syslog integration
  • Geolocation and city-based access control
  • Kubernetes Ingress configuration
  • Pod auto-scaling
  • Cache and Gateway metrics integration
When to Use:
  • When performing advanced configurations
  • When setting up monitoring and alerting
  • In security configurations
  • During integration operations

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Relationships Between Categories

These categories are closely related to each other: 
Operations Overview
    ├── Backup and Restore (Data security and disaster recovery)
    ├── Database Management (MongoDB collection cleanup)
    ├── Useful Commands (Command references for daily operations)
    ├── Troubleshooting (Issue detection and resolution)
    │   ├── Common Issues (Frequently encountered issues)
    │   └── Log Analysis (Log review for issue analysis)
    ├── Performance Tuning (System optimization)
    ├── Healthcheck (System health checks)
    ├── Kubernetes (Infrastructure management)
    └── Administrator Guides (Advanced management)

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Use Cases

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Scenario 1: Backup and Restore

  1. Determine the backup strategy from the Backup and Restore section
  2. Plan and automate regular backup operations
  3. Verify that backups are taken correctly
  4. Regularly test restore from backup
  5. Perform restore from backup when needed

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Scenario 2: System Health Check

  1. Check system status from the Healthcheck and Version Addresses page
  2. Review logs with the Log Analysis Guide
  3. If there are issues, check the Troubleshooting or Common Issues section

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Scenario 3: Performance Optimization

  1. Apply relevant optimizations from the Performance Tuning section
  2. Check system metrics with Useful Commands
  3. Detect performance issues with Log Analysis

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Scenario 3: Database Maintenance

  1. Take a backup first from the Backup and Restore section
  2. Perform cleanup operations from the Database Growth Management section
  3. Use MongoDB commands with Useful Commands
  4. Refer to the Troubleshooting section if necessary

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Scenario 5: Troubleshooting

  1. Check similar issues from the Common Issues section
  2. Understand error codes with Error Code Reference
  3. Perform detailed review with Log Analysis
  4. Apply solution methods from the Troubleshooting section

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Operations Workflow

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Backup and Restore Flow

  1. Backup Strategy: Determine backup frequency and method
  2. Backup Operation: Take backup according to MongoDB backup guides
  3. Backup Verification: Verify that backups are taken correctly
  4. Backup Test: Regularly test restore from backup
  5. Restore: Perform restore from backup when needed

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System Health Check Flow

  1. Healthcheck: Check the health status of system components
  2. Log Review: Detect potential issues by analyzing logs
  3. Metric Monitoring: Evaluate performance by monitoring system metrics
  4. Issue Detection: Identify issues with error codes and log patterns
  5. Solution Application: Apply solutions according to troubleshooting guides

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Performance Optimization Flow

  1. Performance Analysis: Analyze system metrics and logs
  2. Bottleneck Detection: Identify performance bottlenecks
  3. Tuning Application: Optimize according to performance tuning guides
  4. Test and Verification: Test changes and verify performance improvement
  5. Monitoring: Continuously monitor optimization results

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Database Maintenance Flow

  1. Growth Analysis: Analyze database growth and collection sizes
  2. Cleanup Plan: Determine which collections to clean
  3. Backup: Always take backup before cleanup (see Backup and Restore section)
  4. Cleanup Operation: Perform cleanup according to database growth management guides
  5. Verification: Verify that the system works correctly after cleanup

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Important Notes

  • Regular Backup: Regularly backup MongoDB and system configurations
  • Backup Test: Regularly test that backups work correctly
  • Regular Maintenance: Regularly perform database cleanup and system checks
  • Backup: Always take backup before critical operations
  • Documentation: Document changes made
  • Test: Test in test environment before going to production
  • Monitoring: Continuously monitor system health and set up alerting
  • Backup Critical: Always take backup before database cleanup operations and critical changes
  • Disaster Recovery: Regularly test restore from backup
  • Test in test environment before making changes in production environment
  • Regularly monitor system metrics and immediately investigate abnormal situations
  • Plan maintenance window when making changes to critical system components

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Next Steps

Backup and Restore

MongoDB backup and restore operations

Database Growth Management

MongoDB collection cleanup and management

Useful Commands

MongoDB, Kubernetes, and Elasticsearch commands

Troubleshooting

Issue detection and solution guides

Performance Tuning

System optimization guides

Healthcheck and Version

System health checks

Log Analysis

Log analysis and search guides

Common Issues

Common issues and solutions

Kubernetes

Kubernetes installation and management guides

Error Codes

Error code reference

Administrator Guides

Advanced management guides