Mastering AppDynamics: A Comprehensive Guide to Application Performance Management
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PJP Consulting LLC
Mastering AppDynamics: A Comprehensive Guide to Application Performance Management
Chapter Outline:
-
Introduction to Application Performance Management (APM) and AppDynamics
- Overview of APM
- Importance of performance monitoring
- Introduction to AppDynamics
- Key features and benefits
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Setting Up AppDynamics
- Installing and configuring the AppDynamics Controller
- Agent setup for various environments (Java, .NET, Node.js, etc.)
- Connecting applications to the Controller
- Licensing and subscription models
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Understanding the AppDynamics User Interface
- Navigation of the AppDynamics dashboard
- Overview of key components (Applications, Servers, Databases, etc.)
- Customizing the dashboard and creating widgets
- Understanding time ranges and data views
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Monitoring Application Health and Performance
- Health rules and policies
- Defining KPIs and critical metrics
- Identifying and resolving performance bottlenecks
- Troubleshooting using flow maps and snapshots
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Transaction and Business Transaction Monitoring
- Understanding business transactions (BTs)
- Automatic BT detection and manual configuration
- Performance analysis of individual BTs
- Setting thresholds and monitoring service levels
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End-User Monitoring (EUM)
- Real User Monitoring (RUM) for web and mobile applications
- Synthetic monitoring setup and usage
- Tracking user interactions and performance metrics
- Analyzing user experience across devices and locations
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Database and Infrastructure Monitoring
- Monitoring database performance
- Identifying slow queries and optimizing database interactions
- Monitoring server and infrastructure components
- Integrating AppDynamics with cloud platforms (AWS, Azure, GCP)
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Alerting and Notifications
- Setting up alerts based on performance thresholds
- Configuring notification channels (email, SMS, Slack, etc.)
- Customizing alert sensitivity and escalation policies
- Automating remediation actions with AppDynamics
-
Advanced Analytics with AppDynamics
- Utilizing the AppDynamics Analytics module
- Understanding the correlation between business performance and application health
- Analyzing big data with Business iQ
- Creating custom dashboards for deeper insights
- Integrating AppDynamics with Other Tools
- Integrating with CI/CD pipelines (Jenkins, GitLab, etc.)
- API and SDK integrations for custom monitoring
- AppDynamics and DevOps: Monitoring in Agile environments
- Using AppDynamics with incident management tools (ServiceNow, PagerDuty)
- Application Performance Optimization Techniques
- Analyzing slow code execution and backend calls
- Load balancing and scaling strategies
- Optimizing database calls and service endpoints
- Reducing network latency and improving response times
- Mobile Application Monitoring
- Setting up mobile app monitoring in AppDynamics
- Monitoring crashes, network requests, and app performance
- Insights into user sessions and behavior
- Optimizing mobile user experience with detailed metrics
- AppDynamics for Cloud and Microservices Architectures
- Monitoring applications in a cloud-native environment
- Using AppDynamics in Kubernetes and Docker environments
- Distributed tracing for microservices and serverless applications
- Best practices for monitoring complex distributed systems
- Security and Compliance Monitoring
- Application security monitoring with AppDynamics
- Detecting vulnerabilities and anomalies
- Ensuring compliance with regulations (GDPR, PCI DSS, etc.)
- AppDynamics and security integrations (Splunk, SIEM tools)
- Future of APM and AppDynamics
- Emerging trends in application monitoring and AI-driven insights
- Future capabilities of AppDynamics with machine learning
- AppDynamics and IoT application monitoring
- Preparing for the next generation of performance management
This structure covers AppDynamics comprehensively, from setup and configuration to advanced analytics and monitoring for cloud and microservices architectures. It should provide a clear roadmap for understanding and mastering the platform.
Size
129 KB
Length
193 pages
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