Monitoring and Performance Optimization Training
Learn how to identify performance bottlenecks, implement effective monitoring strategies, and optimize system efficiency through hands-on practice with real-world scenarios.
Start Learning
What You'll Actually Learn
Our curriculum covers the practical skills you need to monitor systems effectively and make data-driven optimization decisions. Each module focuses on real techniques you can apply immediately.
System Monitoring Foundations
Start with the basics of what to monitor and why. You'll learn to identify key metrics that actually matter for your systems and understand how different monitoring approaches work.
- Identifying critical performance indicators
- Setting up baseline measurements
- Understanding metric collection intervals
- Choosing between push and pull models
Practical Instrumentation
Learn how to add monitoring to your code without slowing things down. We cover instrumentation patterns that give you visibility without creating new performance problems.
- Adding metrics to application code
- Working with structured logging
- Implementing distributed tracing
- Balancing detail with overhead
Reading Performance Data
Collecting data is one thing, understanding it is another. This module teaches you how to interpret graphs, spot patterns, and recognize when something needs attention.
- Analyzing CPU and memory patterns
- Identifying network bottlenecks
- Recognizing disk I/O issues
- Understanding percentile distributions
Database Performance
Databases are often the bottleneck. You'll learn how to monitor query performance, identify slow operations, and optimize database interactions without rewriting everything.
- Tracking query execution times
- Using explain plans effectively
- Monitoring connection pools
- Optimizing common query patterns
Load Testing Techniques
Find problems before your users do. This module covers how to simulate realistic load, measure performance under stress, and identify breaking points safely.
- Designing realistic load scenarios
- Running gradual ramp-up tests
- Measuring response time degradation
- Finding capacity limits
Optimization Strategies
When you've found a problem, what do you do about it? This module teaches practical optimization techniques that actually work, with clear before-and-after examples.
- Caching strategies that help
- Reducing unnecessary work
- Optimizing critical code paths
- Measuring improvement accurately