Visão Geral

OCurso JEE Server Performance Tuning, fornece as habilidades necessárias para ajustar um servidor para atender o número máximo de usuários simultâneos, mantendo níveis adequados de serviço, conforme medido em tempos de resposta de serviço.

Publico Alvo

• Este Curso JEE Server Performance Tuning beneficiaria Weblogic, Tomcat e outros administradores de sistema JEE responsáveis ​​pelo desempenho do servidor.

Pre-Requisitos

• Familiarizado com os conceitos básicos de implantação e monitoramento de aplicativos JEE em um servidor JEE e com a estrutura básica de aplicativos JEE.

Materiais

Conteúdo Programatico

Overview

1. The Performance Problem
2. How Fast is Fast Enough?
3. Hiding Bad Performance
4. The 6 main Performance costs: Memory, CPU Time, Network Traffic, I/O
5. System Calls, Resource Blocking

Specifying Service Level Agreements

1. The Four Types of Performance Measures
2. End-User Response Time
3. Request Throughout
4. Resource Utilization
5. Application Availability
6. Specifying a Service Level Agreement

Tune the JVM Memory Usage

1. The JVM Memory and Garbage Collector Model
2. Configuring the Garbage Collector
3. Tracing the behavior of the Garbage Collector
4. Recommended initial memory configuration

The Elements of Tuning

1. Tuning Memory
2. Tuning Thread Pools
3. Tuning JDBC Connection Pools
4. Tuning other Caches
5. Using a separate server for static content

Obtaining Performance Measurements

1. Using the Server Console
2. Using Connection Pools that provide Statistics
3. Polling Statistics with Java Programs
4. Using JMX Scripts
5. Using Other Tools

Create Simulated Workloads

1. Workload Generation Tools
2. Using JMeter
3. Creating Graduated Loads
4. Test Load Strategies

Wait Based Tuning

1. The JEE Tiers
2. Wait Based Tuning
3. Tuning From the Back to the Front - Theory and Method
4. Tuning Example
5. Tuning the Database Tier

Fine Tuning Performance

1. Precompiling JSPs
2. JMS Tuning
3. Advanced JDBC Tuning
4. Other Items to Tune

Principles of Tuning Clusters

1. Horizontal Clustering
2. Vertical Clustering
3. Minimizing Object Movement
4. Load Testing a Cluster

Trending, Forecasting and Capacity Planning

1. Predict Future Trends
2. Anticipating Server Overload
3. Performance Management Plans