What is AppDynamics monitoring in this course?

In this course, AppDynamics monitoring means using AppDynamics to automatically discover application behavior, trace transactions, and watch for performance problems across distributed systems. The emphasis is on building a practical observability workflow that helps you see where slowdowns, errors, and bottlenecks are happening in production-style environments.

When would you use AppDynamics monitoring?

You would use it when a web application or service-based system is too complex to troubleshoot well through isolated checks or delayed reports. The course especially frames it as a way to investigate latency, errors, and changing performance patterns before they become customer-impacting incidents.

How does AppDynamics monitoring fit into a broader workflow?

It sits in the middle of a production support workflow, connecting live visibility into application behavior with the decisions teams make during incident response and ongoing performance management. In the course, that means moving from automatic discovery and transaction analysis into alerting, dashboards, and team-facing reporting.

How is AppDynamics monitoring different from manual log analysis?

Manual log analysis usually means piecing together clues service by service, while AppDynamics monitoring gives you a connected view of transactions, dependencies, and performance changes as they happen. The course focuses on using that connected visibility to diagnose issues and reduce the need for long hand-driven investigations.

Do you need any prerequisites before learning AppDynamics monitoring?

A basic understanding of web applications, APIs, and how backend services communicate is helpful before you start. Familiarity with command-line tools and general application architecture is useful, but the course teaches the AppDynamics-specific workflow itself.

What tools, platforms, or methods are used in this course?

The course centers on AppDynamics. The main methods are snapshot-based troubleshooting and baseline-driven alerting.

What specific tasks will you practice or complete in this course?

You practice configuring monitoring agents, reading application maps and transaction views, drilling into slow requests to find bottlenecks, creating health rules and notification policies, and building dashboards for different stakeholders. Together, those tasks show how to turn application monitoring into a repeatable workflow for diagnosis, alerting, and operational visibility.

AppDynamics: From Basics to Performance Mastery

本课程是 Mastering Application Performance Monitoring in AppDynamics 专项课程的一部分

位教师：Aseem Singhal

包含在中

了解更多

3个模块

深入了解一个主题并学习基础知识。

高级设置等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

高级设置等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Configure agents and analyze transaction snapshots to diagnose bottlenecks using Flow Maps, call graphs, and SQL query timings.
Create health rules and integrate alerts with IT ops tools to reduce MTTR 40-60% via email, and Slack.
Build custom dashboards and deploy at enterprise scale with multi-environment architecture, RBAC, automated reporting and containerized agents.

您将获得的技能

您将学习的工具

Role-Based Access Control (RBAC)

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本课程是 Mastering Application Performance Monitoring in AppDynamics 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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该课程共有3个模块

Application performance issues cause 60% of customer-impacting incidents, making proactive monitoring critical for production systems. This course equips operations engineers to build observable distributed applications through hands-on work with AppDynamics for automatic discovery, transaction analysis, and intelligent alerting. You'll diagnose performance bottlenecks using snapshot-driven troubleshooting, eliminate alert fatigue by configuring baseline-driven health rules integrated with IT operations tools, and democratize observability through executive dashboards with automated reporting. This course eliminates the hours spent on manual log analysis across microservices. With hands-on labs, you'll simulate production scenarios including checkout slowdowns, database N+1 query patterns, and alert integration workflows.

This course is designed for operations engineers, DevOps practitioners, SREs, application developers, and anyone responsible for monitoring, supporting, or optimizing production applications. If you work with distributed systems or want to strengthen your observability and incident-response skills, you’re in the right place. A basic understanding of web applications, APIs, and how backend services communicate will help you move quickly through the course. Familiarity with command-line tools and general application architecture (tiers, services, databases) is useful but not required. By course completion, you'll identify performance bottlenecks within minutes, reduce alert noise by 50%+, configure multi-channel notifications for sub-5-minute incident response, and deploy enterprise-scale monitoring with RBAC governance.

单元详情

This module establishes the foundation for understanding how AppDynamics automatically discovers and monitors application performance without manual instrumentation. Learners will explore the controller architecture (Flow Maps, business transactions, tiers, and nodes), identify performance patterns in the Commerce Cloud demo application (checkout flows, payment processing, database queries), and understand how AI-powered baselines detect anomalies in response times and error rates. Through agent configuration and hands-on exercises with real e-commerce workloads, students will learn to capture transaction snapshots, interpret call graphs and SQL query performance, create intelligent health rules that alert before customers are impacted, and prepare their monitoring environment for proactive performance management across distributed systems.

涵盖的内容

4个视频2篇阅读材料1次同伴评审

4个视频总计28分钟

Welcome and Course Intro4分钟
Setup & Automatic Discovery9分钟
Find Problems with Snapshots7分钟
Create Smart Health Rules7分钟

2篇阅读材料总计10分钟

Welcome to the Course: Course Overview5分钟
Introduction to AppDynamics: Core Concepts and Architecture5分钟

1次同伴评审总计25分钟

Hands-On-Learning: Diagnosing Checkout Performance Issues Using AppDynamics 25分钟

This module empowers learners to transform AppDynamics monitoring into actionable incident response by integrating alerts with existing IT operations workflows. Students will explore multi-channel notification strategies (email with deep links and Slack webhooks), configure policy-driven alerting that routes critical issues to the right teams, and master action suppression to eliminate alert fatigue during planned maintenance windows. Through hands-on integration exercises connecting the Commerce Cloud demo to real communication and ticketing platforms, learners will configure webhook actions for ChatOps visibility, map health rule violations to incident priorities, test escalation chains with simulated production failures, and establish best practices for organizing policies by severity to ensure that performance degradations trigger automated remediation workflows rather than manual firefighting.

涵盖的内容

3个视频1篇阅读材料1次同伴评审

This module transforms learners from AppDynamics operators into enterprise architects who can synthesize monitoring insights into executive dashboards, automate reporting workflows, and deploy observability at scale across multiple teams and environments. Students will explore dashboard composition strategies (essential widget types, event overlays, tag-based filtering), implement automated email digests that deliver PDF performance summaries to stakeholders without controller access, and master enterprise deployment patterns including multi-environment architecture, role-based access control, and agent deployment across containerized infrastructures. Through hands-on exercises building operations dashboards for the Commerce Cloud demo, tracking release performance improvements with tag filters, and designing governance frameworks for 50+ microservices, learners will establish naming conventions for organizational consistency, configure RBAC to protect production from accidental changes, plan controller scaling strategies, and create team onboarding checklists that democratize observability data across engineering, product, and business stakeholders.

涵盖的内容

4个视频1篇阅读材料1个作业2次同伴评审

4个视频总计28分钟

Build an Operations Dashboard9分钟
Automated Reports & Release Tracking5分钟
Enterprise Best Practices10分钟
Course Wrap-Up4分钟

1篇阅读材料总计5分钟

Enterprise AppDynamics Implementation and Best Practices5分钟

1个作业总计20分钟

AppDynamics: From Basics to Performance Mastery20分钟

2次同伴评审总计80分钟

Hands-on-Learning: Building Executive Dashboards, Automated Reports & Enterprise RBAC 20分钟
Project: End-to-End AppDynamics Monitoring for Distributed E-Commerce Platform 60分钟