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.
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What you'll learn
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.
Skills you'll gain
- Analysis
- Application Deployment
- Role-Based Access Control (RBAC)
- Performance Analysis
- Performance Tuning
- Application Performance Management
- Health Policy
- Real Time Data
- Transact-SQL
- System Monitoring
- Incident Management
- Microservices
- Transaction Processing
- Anomaly Detection
- Devops Tools
- Continuous Monitoring
- Enterprise Application Management
- Email Automation
- Site Reliability Engineering
Details to know
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December 2025
1 assignment
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There are 3 modules in this course
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.
What's included
4 videos2 readings1 peer review
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.
What's included
3 videos1 reading1 peer review
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.
What's included
4 videos1 reading1 assignment2 peer reviews
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