Transform your ability to monitor, diagnose, & optimize application performance with comprehensive AppDynamics training. This program addresses the critical challenge that 60% of customer-impacting incidents stem from performance issues. You'll start by learning automatic discovery, transaction analysis, & intelligent alerting for distributed applications. You'll diagnose bottlenecks using snapshot-driven troubleshooting, eliminate alert fatigue with baseline-driven health rules, & create executive dashboards that democratize observability. The program covers specialized monitoring for machine learning applications, addressing their complex data dependencies & business-critical performance requirements. Through hands-on labs simulating real production scenarios, from checkout slowdowns to database N+1 queries, you'll develop practical skills applicable to your environment. Whether you're an operations engineer implementing your first monitoring solution, a data scientist ensuring ML model reliability, or an SRE optimizing complex distributed systems, this program provides the complete AppDynamics toolkit. By completion, you'll reduce incident response times to sub-5 minutes, decrease alert noise by 50%+, & deliver monitoring solutions that protect business performance while providing actionable intelligence across your organization.
应用的学习项目
Apply skills through real-world scenarios including: configuring automatic application discovery and mapping, implementing transaction snapshots for root cause analysis, building baseline-driven health rules with multi-channel alerting, creating executive and technical dashboards with automated reporting, monitoring ML model performance and data drift, setting up database and backend visibility, integrating alerts with IT operations tools, and designing RBAC governance for enterprise deployments. Each project emphasizes practical troubleshooting and performance optimization techniques.
