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Course Outline
Introduction to Performance Testing for Government
- Performance testing life cycle for government.
- Interpretation of performance test results for government.
Understanding Various Architectures/Application Models for Government
- 2/3 tier architecture for government systems.
- N-tier architecture for government applications.
- Middleware-based architecture (MQ, Webservices, etc.) for government services.
Technology for Government
- Basic UNIX commands (grep, find, vi editor, etc.) for government IT environments.
- Basic Oracle/SQL skills (queries, tables, triggers, etc.) for government databases.
- Basic C/Java concepts for government software development.
Detailed Analysis - Monitoring Concepts and Tools for Government
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Hardware Monitoring for Government Systems
- Run queue (average processor queue length) monitoring for government.
- Network I/O monitoring for government networks.
- Disk I/O monitoring for government storage systems.
- Memory monitoring (available, used, paging space, FS cache, etc.) for government servers.
- CPU monitoring (available, virtual, online, entitled, etc.) for government processors.
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Web Server and Application Server Monitoring for Government
- JVM (Java heap) monitoring and heap dump analysis for government applications.
- Connection pool management for government web servers.
- Thread pool management for government application servers.
- Familiarity with various monitoring tools like CA Wily Introscope, IBM Tivoli, etc., for government use.
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Database Monitoring for Government
- Basic query tuning for government databases.
- SQL Trace analysis for government database performance.
- AWR or Statspack analysis for government Oracle databases.
- Query plan optimization for government SQL queries.
- Understanding of bandwidth and FTP for government network operations.
- Network monitoring using tools like HTTPwatch or Fiddler for government IT environments.
Requirements
- Proficiency with databases, such as Oracle, for government applications.
- Familiarity with application containers, including WebSphere and WebLogic.
- Competence in programming languages, particularly Java.
- Expertise in performance testing methodologies.
- Proficiency in SQL for data management and retrieval.
35 Hours
Testimonials (1)
Trainer knows very well about the teaching materials and the virtual machine given is very helpful.