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-85%

Datadog Masterclass – The Complete Guide for Beginner to Pro Level

67 Lessons
9.2 hours
All Levels

Master Datadog with this practical, step-by-step course designed for real-world …

What you'll learn
Set up Datadog for real-world environments
Integrate monitoring with Amazon Web Services and Google Cloud Platform
Collect, analyze, and correlate metrics, logs, and traces
Identify and fix performance issues like CPU spikes and memory leaks
Monitor Kubernetes workloads and distributed systems effectively
Build clear, actionable dashboards for system visibility
Create smart alerts to reduce noise and detect real issues early
Use custom metrics and log pipelines for deeper insights
Apply profiling and live debugging for faster troubleshooting
Understand AIOps basics and automation in observability
Follow proven DevOps and SRE best practices
Handle incidents confidently with structured troubleshooting methods
Improve system reliability and performance in production
-60%

Dynatrace Zero to Hero: A Beginner’s Guide to Observability and Monitoring

28 Lessons
1.9 hour
Beginner

Ready to kickstart your journey into observability and monitoring with …

What you'll learn
Understand how Dynatrace works and its key components like OneAgent and ActiveGate.
Configure Dynatrace on Google Cloud, Windows, Linux, and Kubernetes.
Deploy Dynatrace OneAgent and automate setups using Ansible.
Set up a GKE cluster, deploy Spring Boot microservices, and analyze Kubernetes metrics with Dynatrace.
Automate VM creation, app deployment, and OneAgent installation.
Grant user access and manage custom roles in Dynatrace.
Set up OpenTelemetry and use it with Dynatrace for full-stack monitoring.
-37%

Dynatrace Hero to Superhero : Mastering in Production Monitoring

80 Lessons
6.3 hours
All Levels

Ready to elevate your performance monitoring and troubleshooting expertise? In …

What you'll learn
Identify and fix CPU, memory, database, and network issues.
Create dashboards, alerts, and anomaly detection to prevent issues early.
Simulate user journeys and analyze real-user activity and response times.
Use Davis AI for root cause analysis, forecasting, and trend insights.
Automate problem management with JIRA integration.
Simplify L1 support workflows to save time and reduce costs.
Implement SLOs, SLIs, and SLAs to improve reliability and user satisfaction.
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