Integration Troubleshooting
🛠️ Integration Troubleshooting
🔍 Diagnostic Framework
Approach sistemático para troubleshooting
Diagnostic workflow
⚡ Quick Diagnosis (2-5 minutes)
Immediate health check:
Integration Health Dashboard:
├── Overall status: Green/Yellow/Red
├── Last successful sync: Timestamp
├── Error count (last 24h): Number
├── Response time: Average latency
└── Data freshness: How current is data
Quick diagnostic questions:
├── Is the integration status green?
├── When was the last successful sync?
├── Are there recent error messages?
├── Can you access the source tool directly?
└── Have there been recent changes to permissions?
5-minute diagnostic checklist:
✅ Basic connectivity:
├── Integration shows "Connected" status
├── Source tool (Jira/Slack) is accessible
├── No recent password/token changes
├── Network connectivity is stable
└── No recent IT infrastructure changes
✅ Data flow verification:
├── Recent changes in source tool are reflected
├── Queries return expected results
├── No obvious data gaps or inconsistencies
├── Response times are normal (<3 seconds)
└── No error messages in integration logs
✅ User access verification:
├── You can access the source tool directly
├── Your permissions haven't changed recently
├── Other team members report similar issues
├── No recent organizational changes
└── Integration permissions are still valid
Immediate actions based on results:
If all checks pass:
├── Issue may be temporary or resolved
├── Monitor for 30 minutes
├── Test with different queries
├── Check for specific data issues
└── Proceed to systematic analysis if needed
If connectivity fails:
├── Check source tool availability
├── Verify network connectivity
├── Re-authorize integration if needed
├── Contact IT if infrastructure issue
└── Check for service outages
If data flow fails:
├── Check for permission changes
├── Verify webhook configuration
├── Test manual sync if available
├── Check for data filtering issues
└── Review recent configuration changes
🔬 Systematic Analysis (10-15 minutes)
Comprehensive diagnostic process:
Step 1: Integration Layer Analysis
Integration configuration review:
├── Connection status and health metrics
├── Authentication token validity and expiration
├── Webhook configuration and delivery status
├── Data sync frequency and last execution
├── Error logs and failure patterns
└── Performance metrics and trends
Diagnostic commands:
├── Test connection to source system
├── Verify webhook endpoint accessibility
├── Check authentication token validity
├── Review sync configuration settings
└── Analyze recent error patterns
Step 2: Data Layer Analysis
Data quality and consistency check:
├── Compare data between Impulsum and source
├── Check for missing or incomplete records
├── Verify data transformation accuracy
├── Analyze data freshness and currency
├── Review field mapping and custom configurations
└── Check for data filtering or exclusion rules
Data verification process:
├── Select sample records from source system
├── Verify same records exist in Impulsum
├── Compare field values and accuracy
├── Check timestamps and update history
└── Identify any systematic data issues
Step 3: User Access Analysis
Permission and access verification:
├── User permissions in source system
├── Project/resource access levels
├── Integration permission scope
├── Team member access consistency
├── Recent permission or role changes
└── Organization-level access policies
Access diagnostic steps:
├── Test access to source system directly
├── Verify project visibility and permissions
├── Check integration authorization scope
├── Compare access with working team members
└── Review recent organizational changes
Step 4: Performance Analysis
Performance and scalability assessment:
├── Response time trends and patterns
├── Data volume and processing load
├── System resource utilization
├── Network latency and connectivity
├── Concurrent user load impact
└── Integration throughput and capacity
Performance diagnostic metrics:
├── Average response time over time
├── Peak usage periods and impact
├── Error rate correlation with load
├── Data sync duration and efficiency
└── System resource consumption patterns
🎯 Root Cause Analysis
Systematic root cause identification:
Common root cause categories:
Authentication & Authorization Issues (40%):
├── Expired or revoked tokens
├── Changed passwords or credentials
├── Permission scope reductions
├── User account deactivation
├── SSO configuration changes
└── API key rotation or expiration
Data & Configuration Issues (30%):
├── Source system configuration changes
├── Field mapping or custom field issues
├── Data filtering or exclusion rules
├── Webhook configuration problems
├── Network or firewall restrictions
└── Integration setting modifications
Performance & Scalability Issues (20%):
├── Increased data volume or complexity
├── Network latency or connectivity problems
├── System resource constraints
├── Concurrent usage overload
├── API rate limiting or throttling
└── Database performance degradation
External System Issues (10%):
├── Source system outages or maintenance
├── Third-party service disruptions
├── Network infrastructure problems
├── Cloud provider service issues
├── DNS or routing problems
└── Security system interference
Root cause diagnostic framework:
Authentication Investigation:
├── Check token expiration dates
├── Verify credential validity
├── Test authentication flow
├── Review permission changes
├── Confirm user account status
└── Validate SSO configuration
Configuration Investigation:
├── Compare current vs previous settings
├── Review recent configuration changes
├── Test webhook delivery and processing
├── Verify field mapping accuracy
├── Check data filtering rules
└── Validate integration scope
Performance Investigation:
├── Analyze response time trends
├── Monitor resource utilization
├── Check for rate limiting
├── Assess data volume impact
├── Review concurrent usage patterns
└── Evaluate system capacity
External System Investigation:
├── Check source system status
├── Verify network connectivity
├── Test API endpoint availability
├── Review service status pages
├── Monitor third-party dependencies
└── Assess infrastructure health
🛡️ Prevention & Monitoring
Proactive issue prevention:
Monitoring and alerting setup:
Critical alerts (immediate notification):
├── Integration connection failures
├── Authentication token expiration (7 days warning)
├── Webhook delivery failures (>5 consecutive)
├── Data sync failures (>30 minutes delay)
├── Response time degradation (>5 seconds)
└── Error rate spikes (>5% in 1 hour)
Warning alerts (daily digest):
├── Performance degradation trends
├── Data quality issues or inconsistencies
├── Permission or access changes
├── Configuration modifications
├── Usage pattern anomalies
└── Capacity or resource concerns
Informational alerts (weekly summary):
├── Integration health and performance summary
├── Usage statistics and trends
├── Optimization recommendations
├── Upcoming maintenance or changes
├── Best practice suggestions
└── Success metrics and achievements
Preventive maintenance schedule:
Daily automated checks:
├── Integration health and connectivity
├── Data sync status and freshness
├── Error log analysis and alerting
├── Performance metric collection
├── Security and access validation
└── Backup and recovery verification
Weekly proactive maintenance:
├── Configuration backup and versioning
├── Performance trend analysis
├── Capacity planning and forecasting
├── Security audit and review
├── Documentation update and validation
└── Team training and knowledge sharing
Monthly strategic review:
├── Integration ROI and value assessment
├── Performance optimizestion opportunities
├── Security and compliance audit
├── Disaster recovery testing
├── Vendor relationship and contract review
└── Strategic roadmap and planning
Issue prevention best practices:
Configuration management:
├── Version control for integration settings
├── Change approval and documentation process
├── Automated backup and recovery procedures
├── Configuration drift detection and alerting
├── Rollback procedures and testing
└── Change impact assessment and validation
Security and access management:
├── Regular token rotation and renewal
├── Permission audit and cleanup
├── Access control and least privilege
├── Security monitoring and threat detection
├── Compliance validation and reporting
└── Incident response and recovery planning
Performance optimizestion:
├── Regular performance tuning and optimizestion
├── Capacity planning and resource management
├── Load testing and stress testing
├── Bottleneck identification and resolution
├── Caching and optimizestion strategies
└── Scalability planning and implementation
🚨 Common Issues & Solutions
Problemas más frecuentes y sus solutions
Issue resolution guide
🔌 Connection & Authentication Issues
Issue 1: “Cannot connect to [Tool]”
Symptoms:
├── Integration status shows "Disconnected" or "Error"
├── "Authentication failed" or "Connection timeout" messages
├── Unable to authorize or re-authorize integration
├── Recent changes to credentials or permissions
└── Integration worked previously but stopped
Immediate diagnosis:
├── Check if you can access the tool directly (Jira, Slack, etc.)
├── Verify your username/password haven't changed
├── Check if your account is still active
├── Look for recent IT or security policy changes
└── Test from different network/device if possible
Solutions by cause:
Password/Credential Changes:
├── Re-authorize the integration with new credentials
├── Clear browser cache and cookies
├── Use incognito/private browsing for re-auth
├── Contact admin if using SSO or enterprise auth
└── Update any saved passwords or tokens
Network/Firewall Issues:
├── Contact IT to whitelist Impulsum domains
├── Check corporate VPN or proxy settings
├── Test from personal device/network to isolate
├── Verify no new firewall rules blocking access
└── Check for DNS or routing issues
Account/Permission Issues:
├── Verify account is still active and not suspended
├── Check if permissions were reduced or changed
├── Contact admin to restore necessary permissions
├── Verify SSO configuration hasn't changed
└── Check for organization-level access changes
Issue 2: “Integration keeps disconnecting”
Symptoms:
├── Integration works intermittently
├── Frequent re-authorization requests
├── "Token expired" or "Session timeout" messages
├── Works for some team members but not others
└── Integration status fluctuates between connected/disconnected
Root causes and solutions:
Token Expiration Issues:
├── Check token expiration settings in source system
├── Enable automatic token refresh if available
├── Set up alerts for upcoming token expirations
├── Consider using service account with longer tokens
└── Document token renewal procedures
SSO/Authentication Policy Changes:
├── Check for new SSO policies or requirements
├── Verify MFA settings haven't changed
├── Contact IT about authentication policy updates
├── Test with admin account to isolate user issues
└── Review session timeout and security settings
API Rate Limiting:
├── Check if hitting API rate limits
├── Reduce sync frequency if necessary
├── Implement exponential backoff for retries
├── Contact vendor about rate limit increases
└── Optimize API usage patterns
Issue 3: “Webhook delivery failures”
Symptoms:
├── Real-time updates not working
├── Data sync delays (>15 minutes)
├── "Webhook failed" messages in logs
├── Manual sync works but automatic doesn't
└── Some events sync but others don't
Webhook troubleshooting:
Webhook Configuration:
├── Verify webhook URL is correct and accessible
├── Check webhook events are configured properly
├── Test webhook delivery from source system
├── Verify HMAC signature validation settings
└── Check for webhook endpoint authentication
Network/Infrastructure:
├── Verify webhook endpoint is publicly accessible
├── Check for firewall rules blocking webhook delivery
├── Test webhook URL from external network
├── Verify SSL certificate is valid and trusted
└── Check for load balancer or proxy issues
Webhook Processing:
├── Check webhook processing logs for errors
├── Verify webhook payload format is supported
├── Test with sample webhook payloads
├── Check for webhook processing timeouts
└── Verify webhook retry and error handling
📊 Data Sync & Quality Problems
Issue 1: “Missing or incomplete data”
Symptoms:
├── Some projects, issues, or users not syncing
├── Data appears in source but not in Impulsum
├── Partial information for some records
├── Recent changes not reflected
└── Inconsistent data between source and Impulsum
Diagnostic steps:
Data Filtering Issues:
├── Check project selection settings
├── Verify issue filtering rules (date ranges, status, etc.)
├── Review user filtering and permission settings
├── Check for data exclusion rules or policies
└── Verify custom field mapping and requirements
Permission Restrictions:
├── Test access to missing data in source system
├── Check project-level permissions and roles
├── Verify user has access to all required data
├── Review security levels and restrictions
└── Check for recent permission changes
Sync Configuration Problems:
├── Review sync scope and inclusion rules
├── Check for sync errors or failures in logs
├── Verify webhook events are configured for all data types
├── Test manual sync for missing data
└── Check sync frequency and scheduling settings
Solutions:
├── Adjust filtering rules to include missing data
├── Request additional permissions from admin
├── Reconfigure sync scope and settings
├── Perform manual sync to catch up missing data
└── Set up monitoring for future data completeness
Issue 2: “Incorrect or outdated data”
Symptoms:
├── Data in Impulsum doesn't match source system
├── Old information showing instead of current
├── Wrong values for fields or properties
├── Timestamps or dates are incorrect
└── Calculated metrics don't match expectations
Data accuracy troubleshooting:
Field Mapping Issues:
├── Review custom field mapping configuration
├── Check for field type mismatches or conversions
├── Verify multi-select and complex field handling
├── Test field mapping with sample data
└── Check for field name changes in source system
Data Transformation Problems:
├── Review data transformation rules and logic
├── Check for timezone conversion issues
├── Verify date/time format handling
├── Test numeric field conversion and rounding
└── Check text field encoding and character handling
Sync Timing Issues:
├── Check sync frequency and real-time updates
├── Verify webhook delivery and processing timing
├── Review data processing and transformation delays
├── Check for batch processing vs real-time conflicts
└── Test sync timing with recent changes
Solutions:
├── Correct field mapping configuration
├── Adjust data transformation rules
├── Increase sync frequency or enable real-time
├── Perform full data refresh and resync
└── Set up data quality monitoring and alerts
Issue 3: “Data sync is slow or delayed”
Symptoms:
├── Changes take >15 minutes to appear
├── Sync process takes much longer than usual
├── Timeouts during sync operations
├── Partial syncs or incomplete updates
└── Performance degradation over time
Performance optimizestion:
Sync Efficiency:
├── Review sync scope and data volume
├── Optimize filtering to reduce unnecessary data
├── Implement incremental sync instead of full sync
├── Adjust sync frequency based on data change patterns
└── Use batch processing for large data sets
Network and Infrastructure:
├── Check network latency and bandwidth
├── Verify API response times from source system
├── Test sync performance during different times
├── Check for network congestion or routing issues
└── Verify infrastructure capacity and resources
Data Processing Optimization:
├── Optimize data transformation and processing logic
├── Implement caching for frequently accessed data
├── Use parallel processing for large data sets
├── Optimize database queries and indexing
└── Implement data compression and optimizestion
Solutions:
├── Reduce sync scope to essential data only
├── Implement smart sync with change detection
├── Optimize network and infrastructure capacity
├── Use caching and performance optimizestion techniques
└── Set up performance monitoring and alerting
⚡ Performance & Scalability Issues
Issue 1: “Slow query responses”
Symptoms:
├── Queries take >5 seconds to respond
├── Timeouts when asking complex questions
├── Performance varies significantly by time of day
├── Some queries fast, others very slow
└── Performance degraded over time
Performance diagnosis:
Query Complexity Analysis:
├── Identify which types of queries are slow
├── Check for queries involving large data sets
├── Review complex cross-tool correlation queries
├── Test with simpler, more specific queries
└── Analyze query patterns and frequency
Data Volume Impact:
├── Check total data volume and growth trends
├── Review data retention and archival policies
├── Analyze impact of historical data on performance
├── Test performance with reduced data scope
└── Check for data indexing and optimizestion
System Resource Analysis:
├── Monitor CPU, memory, and I/O utilization
├── Check for resource contention or bottlenecks
├── Review concurrent user load and impact
├── Analyze peak usage periods and patterns
└── Check for system capacity constraints
Optimization strategies:
├── Implement query optimizestion and caching
├── Reduce data scope for better performance
├── Use data archival for old or unused data
├── Optimize system resources and capacity
└── Implement load balancing and scaling
Issue 2: “System overload during peak usage”
Symptoms:
├── Slow performance during business hours
├── Timeouts or errors during peak times
├── System becomes unresponsive
├── Queue buildup and processing delays
└── Inconsistent performance across users
Scalability solutions:
Load Distribution:
├── Implement load balancing across multiple servers
├── Use auto-scaling based on demand
├── Distribute processing across time zones
├── Implement queue management for peak loads
└── Use caching to reduce processing overhead
Resource Optimization:
├── Optimize database queries and indexing
├── Implement connection pooling and management
├── Use content delivery networks (CDN)
├── Optimize memory usage and garbage collection
└── Implement efficient data structures and algorithms
Capacity Planning:
├── Monitor usage patterns and growth trends
├── Plan capacity increases before hitting limits
├── Implement performance testing and benchmarking
├── Use predictive analytics for capacity planning
└── Set up automated scaling and resource management
Performance monitoring:
├── Implement real-time performance monitoring
├── Set up alerts for performance degradation
├── Use performance profiling and optimizestion tools
├── Monitor user experience and satisfaction
└── Implement continuous performance improvement
Issue 3: “Integration affecting source system performance”
Symptoms:
├── Source system (Jira, Slack) slower than usual
├── API rate limiting or throttling messages
├── Source system administrators complaining
├── Increased load on source system infrastructure
└── Conflicts with other integrations or users
Impact mitigation:
API Usage Optimization:
├── Reduce API call frequency and volume
├── Implement intelligent caching and data reuse
├── Use batch operations instead of individual calls
├── Optimize data filtering to reduce unnecessary calls
└── Implement exponential backoff for retries
Rate Limiting Compliance:
├── Respect API rate limits and throttling
├── Implement queue management for API calls
├── Use priority-based processing for critical data
├── Coordinate with other integrations and users
└── Request rate limit increases if justified
Sync Strategy Optimization:
├── Use incremental sync instead of full refresh
├── Implement smart change detection
├── Reduce sync frequency for stable data
├── Use webhooks instead of polling where possible
└── Optimize sync scheduling for off-peak hours
Collaboration with source system admins:
├── Communicate integration plans and impact
├── Coordinate maintenance and optimizestion efforts
├── Share performance monitoring and metrics
├── Implement joint optimizestion strategies
└── Establish escalation procedures for issues
🔐 Permission & Access Problems
Issue 1: “Access denied to projects or data”
Symptoms:
├── "Permission denied" or "Access forbidden" errors
├── Some projects visible, others not
├── Can see projects but not issues or details
├── Different access levels for team members
└── Previously accessible data now restricted
Permission troubleshooting:
User Permission Verification:
├── Log into source system directly and test access
├── Check project membership and roles
├── Verify global permissions (Browse Projects, Browse Users)
├── Test access to specific issues and data
└── Compare permissions with working team members
Integration Permission Scope:
├── Review integration authorization scope
├── Check if permissions were reduced during re-auth
├── Verify integration has necessary permissions
├── Test with admin account to isolate user issues
└── Check for organization-level permission changes
Project-Level Access Control:
├── Verify project visibility and access settings
├── Check project permission schemes and roles
├── Review security levels and restrictions
├── Check for project archival or deactivation
└── Verify project-specific access requirements
Solutions:
├── Request additional permissions from admin
├── Re-authorize integration with broader scope
├── Add user to necessary projects and roles
├── Adjust project permission schemes if admin
└── Document permission requirements for team
Issue 2: “Inconsistent access across team members”
Symptoms:
├── Integration works for some users but not others
├── Different data visibility for different users
├── Some team members can't access certain features
├── Permissions work in source system but not integration
└── Access levels don't match expected roles
Access consistency diagnosis:
User Role Analysis:
├── Compare user roles and permissions in source system
├── Check for different project memberships
├── Verify global permission differences
├── Review user account status and activation
└── Check for user-specific restrictions or policies
Integration Authorization Differences:
├── Check if users authorized integration individually
├── Verify integration permissions for each user
├── Check for different authorization scopes
├── Review SSO and authentication differences
└── Test with standardized authorization process
Organizational Policy Impact:
├── Check for role-based access control policies
├── Verify department or team-based restrictions
├── Review security policies and compliance requirements
├── Check for geographic or regulatory restrictions
└── Verify license and subscription limitations
Standardization solutions:
├── Implement consistent user roles and permissions
├── Use service account for organization-wide access
├── Standardize integration authorization process
├── Document and enforce permission standards
└── Set up regular permission audits and cleanup
Issue 3: “Permission changes breaking integration”
Symptoms:
├── Integration worked before but stopped suddenly
├── "Permission denied" errors after recent changes
├── Reduced data visibility or functionality
├── Integration shows connected but limited access
└── Correlation with recent organizational changes
Change impact assessment:
Recent Permission Changes:
├── Identify recent permission or role changes
├── Check for project membership modifications
├── Review global permission adjustments
├── Verify security policy updates
├── Check for user account status changes
Integration Impact Analysis:
├── Test integration functionality after changes
├── Compare current vs previous data access
├── Verify webhook and API access still works
├── Check for reduced integration scope or functionality
└── Test with previous permission levels if possible
Change Management Process:
├── Implement change notification and approval process
├── Test integration impact before permission changes
├── Maintain backup access or service accounts
├── Document permission requirements and dependencies
└── Set up monitoring for permission-related issues
Recovery and prevention:
├── Restore necessary permissions for integration
├── Implement change management and testing procedures
├── Set up permission monitoring and alerting
├── Document integration permission requirements
└── Establish escalation procedures for permission issues
🔧 Advanced Troubleshooting
Técnicas avanzadas para problems complejos
Advanced diagnostic techniques
📋 Log Analysis & Debugging
Comprehensive log analysis:
Log collection and analysis:
Integration Logs:
├── Connection and authentication events
├── Data sync operations and results
├── Webhook delivery and processing
├── Error messages and stack traces
├── Performance metrics and timing
└── User activity and access patterns
Source System Logs:
├── API access and usage patterns
├── Authentication and authorization events
├── Webhook delivery attempts and results
├── Rate limiting and throttling events
├── Error responses and status codes
└── Performance and resource utilization
Network and Infrastructure Logs:
├── Network connectivity and latency
├── DNS resolution and routing
├── Load balancer and proxy logs
├── SSL/TLS handshake and certificate issues
├── Firewall and security events
└── Infrastructure resource utilization
Log analysis techniques:
Pattern Recognition:
├── Identify recurring error patterns
├── Analyze timing and frequency of issues
├── Correlate events across different log sources
├── Identify performance trends and degradation
├── Detect anomalies and unusual behavior
└── Track issue resolution and recovery patterns
Error Classification:
├── Categorize errors by type and severity
├── Identify root causes and contributing factors
├── Track error frequency and trends
├── Correlate errors with system changes
├── Prioritize errors by business impact
└── Document error patterns and solutions
Performance Analysis:
├── Analyze response time trends and patterns
├── Identify performance bottlenecks and constraints
├── Correlate performance with system load
├── Track resource utilization and capacity
├── Identify optimizestion opportunities
└── Monitor performance improvement over time
Advanced debugging tools:
Debugging Techniques:
├── Enable detailed logging and tracing
├── Use API testing tools (Postman, curl)
├── Implement custom monitoring and alerting
├── Use network analysis tools (Wireshark, tcpdump)
├── Implement distributed tracing for complex flows
└── Use performance profiling and analysis tools
Log Analysis Tools:
├── Centralized logging platforms (ELK, Splunk)
├── Log aggregation and analysis tools
├── Real-time monitoring and alerting systems
├── Custom dashboards and visualization
├── Automated log analysis and pattern detection
└── Integration with incident management systems
🔍 API & Integration Debugging
API-level troubleshooting:
API Testing and Validation:
Direct API Testing:
├── Test API endpoints directly with tools like Postman
├── Verify authentication and authorization
├── Check request/response formats and data
├── Test error handling and edge cases
├── Validate API rate limits and throttling
└── Check API versioning and compatibility
Integration Flow Testing:
├── Test each step of integration workflow
├── Verify data transformation and mapping
├── Check webhook delivery and processing
├── Test error handling and retry logic
├── Validate data consistency and accuracy
└── Check integration performance and scalability
API Documentation Review:
├── Verify API usage matches documentation
├── Check for API changes or deprecations
├── Review authentication and authorization requirements
├── Validate request/response formats and schemas
├── Check rate limiting and usage policies
└── Review error codes and handling procedures
Integration debugging strategies:
Step-by-Step Debugging:
├── Isolate each component of integration
├── Test individual API calls and responses
├── Verify data transformation at each step
├── Check error handling and recovery
├── Validate end-to-end data flow
└── Test with different data sets and scenarios
Mock and Simulation Testing:
├── Use mock APIs to test integration logic
├── Simulate error conditions and edge cases
├── Test with synthetic data and scenarios
├── Validate error handling and recovery
├── Test performance under load
└── Verify integration behavior with different configurations
Integration Environment Testing:
├── Test in development and staging environments
├── Compare behavior across different environments
├── Test with production-like data and load
├── Validate configuration and deployment
├── Test rollback and recovery procedures
└── Verify monitoring and alerting functionality
API debugging tools and techniques:
Debugging Tools:
├── API testing tools (Postman, Insomnia, curl)
├── Network monitoring tools (Wireshark, Charles Proxy)
├── Integration testing frameworks
├── Mock API services and simulators
├── Performance testing tools (JMeter, LoadRunner)
└── API documentation and testing platforms
Debugging Techniques:
├── Request/response logging and analysis
├── API call tracing and monitoring
├── Error reproduction and analysis
├── Performance profiling and optimizestion
├── Security testing and validation
└── Compatibility testing across versions
📈 Performance Profiling & Optimization
Performance analysis methodology:
Performance Metrics Collection:
System-Level Metrics:
├── CPU utilization and load patterns
├── Memory usage and garbage collection
├── Disk I/O and storage performance
├── Network bandwidth and latency
├── Database query performance
└── Cache hit rates and effectiveness
Application-Level Metrics:
├── Request/response times and throughput
├── API call frequency and patterns
├── Data processing and transformation time
├── Queue lengths and processing delays
├── Error rates and retry patterns
└── User session and activity patterns
Integration-Specific Metrics:
├── Sync operation duration and frequency
├── Webhook delivery and processing time
├── Data volume and complexity impact
├── Cross-tool correlation processing time
├── AI query processing and response time
└── Cache effectiveness and optimizestion
Performance bottleneck identification:
Bottleneck Analysis Techniques:
Resource Utilization Analysis:
├── Identify resource constraints and limitations
├── Analyze resource usage patterns and trends
├── Correlate resource usage with performance
├── Identify peak usage periods and impact
├── Check for resource contention and conflicts
└── Evaluate resource scaling and optimizestion needs
Application Performance Analysis:
├── Profile application code and logic
├── Identify slow queries and operations
├── Analyze algorithm efficiency and optimizestion
├── Check for memory leaks and resource cleanup
├── Evaluate caching and optimizestion strategies
└── Test performance with different data sets and loads
Integration Performance Analysis:
├── Analyze API call patterns and efficiency
├── Check data transformation and processing performance
├── Evaluate webhook delivery and processing efficiency
├── Test sync operation performance and optimizestion
├── Analyze cross-tool correlation performance
└── Check AI processing and response optimizestion
Performance optimizestion strategies:
Optimization Techniques:
Caching and Data Optimization:
├── Implement multi-level caching strategies
├── Optimize data structures and algorithms
├── Use data compression and optimizestion
├── Implement lazy loading and pagination
├── Optimize database queries and indexing
└── Use content delivery networks (CDN)
System and Infrastructure Optimization:
├── Implement load balancing and auto-scaling
├── Optimize server configuration and tuning
├── Use connection pooling and resource management
├── Implement asynchronous processing and queuing
├── Optimize network configuration and routing
└── Use performance monitoring and alerting
Integration-Specific Optimization:
├── Optimize API usage patterns and efficiency
├── Implement intelligent sync and change detection
├── Use batch processing and bulk operations
├── Optimize data transformation and processing
├── Implement smart caching and data reuse
└── Use parallel processing and optimizestion
🔒 Security & Compliance Diagnostics
Security issue diagnosis:
Security Assessment Framework:
Authentication and Authorization:
├── Verify token security and encryption
├── Check authentication flow and validation
├── Review permission scope and limitations
├── Test access control and authorization
├── Validate session management and timeout
└── Check for authentication bypass or escalation
Data Security and Privacy:
├── Verify data encryption in transit and at rest
├── Check data access logging and auditing
├── Review data retention and deletion policies
├── Validate privacy controls and user consent
├── Test data anonymization and protection
└── Check for data leakage or unauthorized access
Network and Infrastructure Security:
├── Verify SSL/TLS configuration and certificates
├── Check firewall rules and network security
├── Review API security and rate limiting
├── Test for injection and other security vulnerabilities
├── Validate infrastructure security and hardening
└── Check for security monitoring and incident response
Compliance validation:
Compliance Assessment:
Regulatory Compliance:
├── GDPR compliance validation and testing
├── CCPA compliance verification and controls
├── SOC 2 compliance assessment and audit
├── Industry-specific compliance requirements
├── Data sovereignty and residency compliance
└── Privacy regulation compliance and validation
Security Standards Compliance:
├── ISO 27001 security management compliance
├── NIST framework implementation and validation
├── OWASP security best practices compliance
├── Industry security standards and guidelines
├── Vendor security requirements and validation
└── Internal security policies and procedures
Audit and Documentation:
├── Security audit trail and logging
├── Compliance documentation and evidence
├── Risk assessment and mitigation documentation
├── Incident response and recovery procedures
├── Security training and awareness documentation
└── Vendor security assessment and validation
Security troubleshooting tools:
Security Analysis Tools:
├── Vulnerability scanning and assessment tools
├── Security testing and penetration testing tools
├── Network security monitoring and analysis tools
├── Authentication and authorization testing tools
├── Data security and privacy assessment tools
└── Compliance validation and audit tools
Security Monitoring:
├── Real-time security monitoring and alerting
├── Threat detection and response systems
├── Security incident management and tracking
├── Compliance monitoring and reporting
├── Security metrics and KPI tracking
└── Security awareness and training programs
📞 Getting Help & Support
Cuándo y cómo obtener helpsdicional
Support channels and escalation
📚 Self-Service Resources
Documentation and guides:
Available resources:
├── User documentation and tutorials
├── Integration setup and configuration guides
├── Troubleshooting guides and FAQs
├── Best practices and optimizestion guides
├── API documentation and reference
└── Video tutorials and walkthroughs
Self-diagnostic tools:
├── Integration health dashboard
├── Automated diagnostic and testing tools
├── Performance monitoring and analysis
├── Error log analysis and reporting
├── Configuration validation and testing
└── Best practice recommendations
Knowledge base and FAQs:
Common topics covered:
├── Integration setup and configuration
├── Authentication and permission issues
├── Data sync and quality problems
├── Performance optimizestion and troubleshooting
├── Security and compliance questions
└── Feature requests and roadmap information
Search and navigation:
├── Keyword search and filtering
├── Category and topic organization
├── Related articles and suggestions
├── User rating and feedback
├── Regular updates and improvements
└── Mobile-friendly access and design
Community resources:
User community features:
├── User forums and discussion boards
├── Community-contributed solutions and tips
├── User-generated content and tutorials
├── Peer support and knowledge sharing
├── Feature requests and voting
└── Beta testing and feedback programs
👥 Community Support
User community platform:
Community features:
├── Discussion forums by topic and integration
├── Q&A sections with expert answers
├── User-contributed tutorials and guides
├── Best practice sharing and discussion
├── Feature request and feedback areas
└── Beta testing and early access programs
Community guidelines:
├── Respectful and helpful communication
├── Search before posting new questions
├── Provide detailed information and context
├── Share solutions and help others
├── Follow community rules and guidelines
└── Report inappropriate content or behavior
Peer support network:
Community support benefits:
├── 24/7 availability from global community
├── Real-world experience and solutions
├── Diverse perspectives and approaches
├── Quick responses for common issues
├── Collaborative problem-solving
└── Networking and knowledge sharing opportunities
How to get effective community help:
├── Search existing discussions first
├── Provide clear problem description
├── Include relevant error messages and logs
├── Specify integration type and configuration
├── Share what you've already tried
└── Follow up with solutions that worked
Expert contributor program:
Community experts:
├── Experienced users with proven expertise
├── Verified solutions and high-quality answers
├── Special recognition and badges
├── Direct access to product team
├── Early access to new features
└── Influence on product roadmap and development
Becoming a community expert:
├── Consistent helpful contributions
├── High-quality answers and solutions
├── Positive community feedback and ratings
├── Technical expertise and knowledge
├── Commitment to helping others
└── Application and review process
🎧 Technical Support
Support ticket system:
Ticket creation and management:
├── Web-based support portal
├── Email-based ticket submission
├── In-app support request functionality
├── Detailed problem description and context
├── Attachment support for logs and screenshots
└── Ticket tracking and status updates
Support categories:
├── Technical issues and troubleshooting
├── Integration setup and configuration
├── Performance and optimizestion
├── Security and compliance questions
├── Feature requests and enhancement suggestions
└── Billing and account management
Support response times and SLAs:
Response time commitments:
Standard Support:
├── Critical issues: 4 hours
├── High priority: 8 hours
├── Medium priority: 24 hours
├── Low priority: 48 hours
└── General questions: 72 hours
Premium Support:
├── Critical issues: 1 hour
├── High priority: 2 hours
├── Medium priority: 8 hours
├── Low priority: 24 hours
└── General questions: 24 hours
Enterprise Support:
├── Critical issues: 30 minutes
├── High priority: 1 hour
├── Medium priority: 4 hours
├── Low priority: 8 hours
└── General questions: 8 hours
Support quality and expertise:
Support team qualifications:
├── Technical expertise in integrations and APIs
├── Deep knowledge of supported platforms
├── Problem-solving and troubleshooting skills
├── Communication and customer service training
├── Regular training and certification updates
└── Escalation procedures for complex issues
Support tools and resources:
├── Advanced diagnostic and testing tools
├── Access to internal systems and logs
├── Collaboration with engineering team
├── Knowledge base and solution database
├── Remote access and screen sharing capabilities
└── Integration testing and validation environments
🏢 Enterprise Support
Dedicated support services:
Enterprise support features:
├── Dedicated customer success manager
├── Priority support queue and escalation
├── Phone and video call support
├── Custom SLA and response time agreements
├── Proactive monitoring and health checks
└── Regular business reviews and optimizestion
Account management:
├── Named account manager and technical contact
├── Regular check-ins and relationship management
├── Strategic planning and roadmap alignment
├── Custom training and onboarding programs
├── Executive escalation and communication
└── Contract and renewal management
Professional services:
Available professional services:
├── Custom integration development and setup
├── Data migration and transformation services
├── Performance optimizestion and tuning
├── Security assessment and compliance validation
├── Custom training and certification programs
└── Strategic consulting and best practice guidance
Implementation support:
├── Dedicated implementation specialist
├── Project management and coordination
├── Custom configuration and setup
├── Testing and validation support
├── Go-live support and monitoring
└── Post-implementation optimizestion and support
Enterprise escalation procedures:
Escalation levels and contacts:
Level 1: Technical Support
├── Initial issue triage and diagnosis
├── Standard troubleshooting and resolution
├── Documentation and knowledge base resources
├── Community and self-service guidance
└── Escalation to Level 2 if needed
Level 2: Senior Technical Support
├── Advanced troubleshooting and diagnosis
├── Custom configuration and optimizestion
├── Integration with engineering team
├── Complex problem resolution
└── Escalation to Level 3 if needed
Level 3: Engineering Team
├── Product-level issue investigation
├── Code-level debugging and analysis
├── Custom development and fixes
├── Architecture and design consultation
└── Product roadmap and enhancement planning
Executive Escalation:
├── Business-critical issue resolution
├── Executive-level communication and updates
├── Strategic partnership and relationship management
├── Contract and SLA negotiation
└── Long-term strategic planning and alignment
🎯 Next Steps
🛠️ Troubleshooting mastery achieved!
Tienes las tools y conocimientos para diagnosticar y resolver cualquier problema de integración. Mantén esta guía como referencia para resolución rápida de issues.