Duration 3 days – 21 hrs
Overview
The Monitoring and Performance Tuning Training Course is designed to equip IT professionals, system administrators, and database administrators with the knowledge and tools to monitor, analyze, and optimize system and application performance. The course covers key concepts of performance tuning, including monitoring techniques, system resource management, database optimization, and troubleshooting performance bottlenecks. Participants will learn how to improve system performance through real-time monitoring, diagnostics, and optimization techniques across various platforms.
Objectives
- Monitor system and application performance using built-in tools and third-party software.
- Identify and troubleshoot performance bottlenecks in servers, networks, and applications.
- Implement best practices for CPU, memory, and disk optimization.
- Optimize database queries and storage for better performance.
- Use performance metrics and analytics for long-term system performance improvements.
- Proactively address performance issues to minimize downtime and improve efficiency.
Audience
- System Administrators
- Database Administrators (DBAs)
- IT Operations and DevOps Engineers
- Network Administrators
- Application Developers responsible for performance optimization
- IT professionals seeking to enhance system performance skills
Prerequisites
- Basic knowledge of system administration or database management.
- Familiarity with operating systems, networks, and databases.
Course Content
Day 1 AM:
Slide 1: Introduction to Performance Monitoring
Course Overview
Intro to Performance Monitoring
Slide 2: Understanding Performance Tuning and Monitoring Concepts
Definition: Performance tuning involves optimizing system performance, while monitoring involves tracking system metrics.
Importance: Ensures systems run efficiently and helps identify potential issues before they become critical.
Slide 3: Key Performance Indicators (KPIs)
Introduction: KPIs are metrics used to evaluate system performance.
CPU: Measures processor usage.
Memory: Tracks memory utilization.
Disk: Monitors disk read/write speeds and usage.
Network: Assesses network throughput and latency.
Slide 4: Tools for Performance Monitoring
Windows Performance Monitor: Built-in tool for tracking various system metrics on Windows.
Linux Monitoring Tools:
- top,
- htop,
- vmstat,
- iostat.
Slide 5: Real-Time Monitoring vs. Historical Monitoring
Real-Time Monitoring: Provides immediate data on system performance.
Historical Monitoring: Allows analysis of performance trends over time.
Slide 6: Setting Up Alerts and Notifications
Purpose: Alerts notify administrators of potential issues.
Configuration: Set thresholds for KPIs to trigger alerts.
Day 1 PM:
Slide 7: Monitoring Virtual Machines and Cloud Environments
Virtual Machines: Monitor resource allocation and usage.
Cloud Environments: Use cloud provider tools
- AWS CloudWatch, Azure Monitor for comprehensive monitoring.
Slide 8: System and Network Performance Tuning
Overview: System and Network Performance Tuning
Slide 9: CPU and Memory Optimization Techniques
CPU Optimization: Techniques such as adjusting process priorities, using multi-threading, and optimizing code.
Memory Optimization: Methods like memory caching, garbage collection tuning, and efficient memory allocation.
Slide 10: Disk and File System Performance Tuning
Disk Performance: Using SSDs, optimizing disk read/write operations, and defragmentation.
File System Tuning: Choosing the right file system, tuning file system parameters, and using journaling.
Slide 11: Disk I/O, RAID Configurations, Caching Strategies
Disk I/O: Reducing latency, increasing throughput, and optimizing I/O operations.
RAID Configurations: Benefits of different RAID levels (RAID 0, 1, 5, 10) for performance and redundancy.
Caching Strategies: Implementing read/write caching to improve performance.
Slide 12: Network Performance Monitoring and Optimization
Monitoring: Using tools to track network performance metrics.
Optimization: Techniques like adjusting MTU size, using QoS, and optimizing routing.
Slide 13: Analyzing Network Traffic and Bandwidth Utilization
Traffic Analysis: Identifying traffic patterns, bottlenecks, and anomalies.
Bandwidth Utilization: Monitoring and managing bandwidth to ensure optimal performance.
Slide 14: Tools for Network Performance
Wireshark: Capturing and analyzing network packets.
NetFlow: Monitoring and analyzing network traffic flows.
Day 2 AM:
Slide 15: Tuning Web Servers and Application Servers
Web Servers:
- Optimizing configurations for Apache, Nginx, etc.
Application Servers:
- Tuning JVM parameters, connection pooling, and resource management.
Slide 16: Load Balancing and Caching Mechanisms
Load Balancing: Distributing traffic across multiple servers to ensure high availability and performance.
Caching: Using reverse proxies, CDN, and in-memory caches to reduce load times.
Slide 17: Introduction to Load Testing Tools
JMeter: Open-source tool for load testing and performance measurement.
ApacheBench: Command-line tool for benchmarking HTTP servers.
Slide 18: Database and Application Performance Optimization
Overview
Slide 19: Database Performance Tuning
Definition: Techniques to enhance database efficiency and speed.
Importance: Ensures quick data retrieval and smooth application performance.
Slide 20: Optimizing SQL Queries and Indexing
SQL Queries: Writing efficient queries to reduce execution time.
Indexing: Using indexes to speed up data retrieval.
Slide 21: Database Caching and Query Optimization
Caching: Storing frequently accessed data in memory to reduce load times.
Query Optimization: Techniques to improve query performance.
- Avoiding unnecessary joins
- Using appropriate data types.
Slide 22: Database Monitoring Tools
SQL Profiler: Tool for monitoring and analyzing SQL Server performance.
MySQL Workbench: Comprehensive tool for MySQL database design, development, and administration.
Slide 23: Application-Level Performance Monitoring
Monitoring: Tracking application performance metrics to identify bottlenecks.
Tools: Using APM tools
- New Relic,
- Dynatrace, or
- AppDynamics.
Day 2 PM:
Slide 24: Profiling Applications for Performance Bottlenecks
Profiling: Identifying slow parts of the application code.
Techniques: Using profilers to analyze CPU, memory, and I/O usage.
Slide 25: Identifying and Resolving Memory Leaks
Memory Leaks: Causes and symptoms of memory leaks.
Resolution: Techniques to detect and fix memory leaks in applications.
Slide 26: Performance Tuning in Virtualized and Cloud Environments
Virtualization: Optimizing performance in virtualized environments.
Cloud: Using cloud provider tools.
- AWS CloudWatch,
- Azure Monitor for performance tuning.
Slide 27: Case Studies: Real-World Performance Tuning Scenarios
Case Study 1:
Example of database performance tuning in a high-traffic e-commerce site.
Case Study 2:
Application performance optimization in a cloud environment.
Slide 28: Best Practices for Ongoing System Monitoring and Maintenance
Best Practices:
- Regular monitoring,
- Proactive maintenance,
- Continuous optimization.
Tools and Techniques: Using automated tools and setting up alerts for proactive monitoring.
