Advanced Techniques in Performance Monitoring
( 25 Modules )

Module #1
Introduction to Advanced Performance Monitoring
Overview of the importance of performance monitoring, course objectives, and what to expect

Module #2
Review of Performance Monitoring Fundamentals
Review of basic performance monitoring concepts, metrics, and tools

Module #3
Performance Monitoring for Cloud-Native Applications
Challenges and opportunities of monitoring cloud-native applications, including containerization and serverless computing

Module #4
Advanced Metrics and Measurement Techniques
In-depth explanation of advanced metrics, such as latency, throughput, and error rates, and how to collect and analyze them

Module #5
Distributed Tracing:Concepts and Tools
Introduction to distributed tracing, including OpenTracing, OpenTelemetry, and Zipkin

Module #6
Application Performance Monitoring (APM) Tools
Overview of popular APM tools, including New Relic, AppDynamics, and Datadog

Module #7
Synthetic Monitoring and Active Probing
Techniques for simulating user interactions and actively probing systems to detect issues

Module #8
Real User Monitoring (RUM) and Browser-Based Monitoring
Monitoring the user experience from the browser perspective, including RUM and browser-based monitoring tools

Module #9
Anomaly Detection and Predictive Analytics
Techniques for identifying unusual patterns and predicting performance issues using machine learning and statistical methods

Module #10
Root Cause Analysis and Troubleshooting
Advanced techniques for identifying and resolving performance issues, including causal analysis and fault tree analysis

Module #11
Monitoring Containerized Applications
Best practices for monitoring containerized applications, including Docker, Kubernetes, and container orchestration

Module #12
Monitoring Serverless Applications
Challenges and solutions for monitoring serverless applications, including AWS Lambda and Azure Functions

Module #13
Monitoring Microservices-Based Systems
Best practices for monitoring microservices-based systems, including service discovery and circuit breakers

Module #14
Monitoring for Security and Compliance
Performance monitoring for security and compliance, including threat detection and audit logging

Module #15
Custom Instrumentation and Telemetry
Advanced techniques for customizing instrumentation and telemetry for application-specific monitoring

Module #16
Big Data and Analytics for Performance Monitoring
Using big data and analytics technologies, such as Hadoop and Spark, for performance monitoring and optimization

Module #17
Integration with Incident Management and ITSM
Integrating performance monitoring with incident management and IT service management (ITSM) tools

Module #18
Advanced Visualization and Reporting
Techniques for creating effective dashboards and reports to communicate performance insights to stakeholders

Module #19
Monitoring for DevOps and CI/CD
Performance monitoring in the context of DevOps and continuous integration/continuous deployment (CI/CD) pipelines

Module #20
Monitoring for IoT and Edge Computing
Challenges and solutions for monitoring IoT and edge computing systems, including device monitoring and edge analytics

Module #21
Monitoring for Artificial Intelligence and Machine Learning
Performance monitoring for AI and ML systems, including model serving and explainability

Module #22
Monitoring for Multi-Cloud and Hybrid Environments
Best practices for monitoring multi-cloud and hybrid environments, including cloud-agnostic monitoring tools

Module #23
Monitoring for 5G and Edge Networks
Challenges and solutions for monitoring 5G and edge networks, including network slicing and edge computing

Module #24
Performance Monitoring for Sustainability and Environmental Impact
The role of performance monitoring in reducing environmental impact and improving sustainability

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Advanced Techniques in Performance Monitoring career

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Advanced Techniques in Performance Monitoring ( 25 Modules )

Advanced Techniques in Performance Monitoring
( 25 Modules )