Overview of Engineering Batch

Introduction

• Purpose: Overview of topics in Engineering batch and Q&A session.
• Speaker: From Performance testing background.

Background Information

• Audience likely from performance testing background.
• Roles involve non-functional requirements: Scripting, execution, analysis, reporting.

Performance Engineering (PE)

• Extension of Performance Testing: Involves deeper knowledge.
• Key Skills:
  • Testing: Already familiar with it.
  • System Analysis: Main focus of the course.
  • Programming: Basic knowledge, helpful for problem diagnosis.
  • Administration & Networking: Basic skills in tool setup and environment management.
• Trend: Combined roles in projects requiring both testing and engineering.

Course Structure

Core Components

1. Testing: Basics already known.
2. System Analysis: Wide range of topics.
3. Programming: Not mandatory but beneficial.
4. Administration & Networking: Basic setup skills needed.

System Analysis Activities

• System Architecture Review: Typically done by experienced engineers; involves early lifecycle assessments.
• Engineering Strategies: For web and mobile applications.
• Monitoring Tools: Experience with APM tools (Dynatrace, AppDynamics, JConsole, Performance Console).
• Profiling Tools: JProfiler, JProbe; heap analysis, thread dump analysis.
• Database Analysis: From an application perspective, not deep DBA tasks.

Performance Engineering Skills

• Testing Phase: Involves scripting, execution, analysis.
• Development Phase: Client-side and server-side profiling, code-level problem identification.
• Application Lifecycle Involvement: Extended role compared to traditional testing.

Practical Application

Tools & Resources

• Necessary installations: Java, Eclipse, Tomcat.
• Provided resources: WAR files, Google Drive access for documents, and tools.
• Hands-on practice: Emphasis on practical application through provided sample applications.

Key Topics Covered

1. Java Basics: Java and JVM fundamentals.
2. Engineering Activities: Practical debugging of code-level problems using tools like JProfiler and Tomcat.
3. Profiling & Monitoring: Using APM tools and open-source monitoring tools like Telegraf, InfluxDB, Grafana.
4. Database Analysis: Focus on Oracle, AWR report analysis.
5. Client-Side Performance: UI optimization strategies.
6. Load Testing & Bottleneck Analysis: Minor load testing using tools like JMeter.
7. Miscellaneous: Introduction to DevOps and cloud concepts for future readiness.

Additional Information

Course Logistics

• Session Timing: 7:45 AM to 8:45 AM IST; tentative adjustments possible based on feedback.
• Recording: Sessions will be recorded and made available for review.
• Queries: Q&A sessions, offline query management via a shared Google sheet.
• Evaluation: Emphasis on honest reporting of practical experience in interviews.

Audience Engagement

• Interactive sessions with Q&A on tools, concepts, practical issues.
• Addressing individual concerns about tool compatibility (e.g., using Mac).
• Mentoring on extending performance testing experience to performance engineering roles.