Performance Engineering/Tuning Training in Kuala Lumpur, Malaysia

The course covers:

• Fundamentals of Performance Engineering and Testing

• Understanding Performance Metrics and Bottlenecks

• Load and Stress Testing with Industry Tools

• Optimizing Application Performance for Scalability

• Database Performance Tuning and Caching Mechanisms

• Profiling, Monitoring, and Root Cause Analysis

• Performance Engineering in Cloud and DevOps Environments

Course Agenda

Introduction to Performance Engineering

• Definition and Importance of Performance Engineering

• Performance Testing vs. Performance Engineering

• Key Performance Metrics (Throughput, Latency, Response Time, etc.)

Performance Bottlenecks and System Constraints

• Identifying CPU, Memory, I/O, and Network Constraints

• Performance Profiling and Benchmarking Techniques

• Understanding Application Scalability Challenges

Load, Stress, and Scalability Testing

• Introduction to Load Testing and its Types

• Tools for Load Testing (JMeter, Gatling, LoadRunner)

• Simulating Real-World Workloads and Analyzing Results

Application Performance Optimization

• Optimizing Code and Memory Management

• Threading and Concurrency Best Practices

• Profiling Java/.NET Applications for Performance Issues

Database Performance Tuning

• Identifying and Resolving Slow Queries

• Indexing Strategies and Query Optimization

• Database Caching and Connection Pooling Techniques

Caching Strategies for High Performance

• In-Memory Caching with Redis and Memcached

• Client-Side vs. Server-Side Caching Techniques

• CDN and Edge Caching for Web Applications

Monitoring, Logging, and Observability

• APM Tools (New Relic, AppDynamics, Dynatrace)

• Log Aggregation and Analysis (ELK Stack, Splunk)

• Distributed Tracing and Real-Time Performance Monitoring

Performance Engineering in Cloud and DevOps

• Performance Considerations in Cloud-Based Applications

• Implementing Auto-Scaling and Load Balancing

• Performance Testing in CI/CD Pipelines

Security and Performance Considerations

• Performance Impacts of Security Mechanisms

• Mitigating DDoS Attacks and API Rate Limiting

• Secure and Optimized Web Application Architecture

Case Studies and Best Practices

• Real-World Performance Engineering Case Studies

• Industry Standards and Guidelines for Performance Engineering

• Best Practices for Scalable and High-Performing Applications