Overview
Application Performance Management (APM) is the monitoring and management of performance and availability of software applications.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use New Relic to measure, track, report and repair web application issues as experienced by end-users in real-time.
By the end of this training, participants will be able to:
- Install and configure New Relic agents on application hosting servers and end-user clients.
- Detect and diagnose complex application performance issues.
- Maintain high levels of web application service availability.
- Identify and repair faulty APIs that slow down the performance of an application.
- Accurately measure the response time of time-sensitive web applications and websites.
- Monitor database operations and improve query response time.
- Set alerts to be notified of problems in real-time.
- Translate IT metrics into business insights to make better decisions.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Requirements
- A general understanding of application infrastructure concepts
- Experience with the Linux command line
Audience
- Developers
- DevOps engineers
- Test engineers
- System administrators
- Solution Architects
Course Outline
Introduction
- How end-to-end application performance measurement affect the customer experience?
Overview of New Relic Features and Architecture
Navigating the User Interface
Setting up New Relic Agents
Measuring Application Performance as Experienced by End Users
Reading and Understanding Instrumentation Data
Measuring Resources Used by an Application
Setting up Monitoring and Notifications
Measuring Database Operations
Reporting Application Performance
Analyzing Application Performance
Troubleshooting API Issues
Integrating New Relic with Third-Party Tools and Services
Troubleshooting
Summary and Conclusion