Trainers
Bonnes Pratiques
Guide des Bonnes Pratiques Dynatrace : Vers une Observabilité Mature
Chapters | Training
0. Training Overview
1. Introduction
2. Cluster
3. Data Collection Methods
4. Configuration as Code
Automate your configuration deployments with Monaco or Terraform
5. Management Zones
6. Track your application versions - Release monitoring
Track application versions deployed on your infrastructure with Dynatrace
7. Real User Monitoring
In this sub-section of DEM (Digital Experience Monitoring), we will see how to use Dynatrace to monitor our visitors' journeys and identify and fix problems
8. Monitoring with robots at a defined frequency
Monitor the proper functioning of your application with robots (synthetic monitoring). You can create advanced journeys with authentication, certificate monitoring...
Lab - Synthetic Monitoring
Lab - Synthetic Monitoring
9. Visualize and analyze your user experience (DEM)
DEM
10. Metrics Management
11. Problem Management
In this section we will see how to identify and find problems generated by different Dynatrace applications. We will also see how to create notification profiles...
12. Other Settings
In this section we will show you how to adjust your Dynatrace cluster configuration
13. Service level objectives - SLO - SLI - SLA - SRE
14. Handling Dynatrace applications
In this section we will present how to find applications and in specific cases how to add and remove applications/extensions.
15. Grail - data lakehouse built for observability data
Unique unified storage solution for logs, metrics, traces, events, etc. All data stored in Grail is interconnected within a real-time model...
16. Permissions Management
Permissions management refers to the mechanisms for controlling who has access to which resources and what actions they can perform (read, write, delete, etc.). It is essential for ensuring security, confidentiality, and proper governance of information systems.
17. Going Further
18. Certification
You can go further with our certification coaching program.
Cas concrets & Applications
End-to-end application monitoring
Monitor the entire application lifecycle to identify bottlenecks.
Digital Experience Management (DEM)
Track how real users interact with your web and mobile applications.
Log and event analysis with Grail
Centralize and query system logs in a unified way with DQL.
Deployment as code (Monaco)
Automate and version your Dynatrace environment configurations.
Cloud infrastructure monitoring
Deep integration with AWS, Azure, or Kubernetes for resource tracking.
Auto-remediation and CI/CD integration
Trigger automated actions when problems are detected by Davis AI.
Questions Fréquentes (FAQ)
It is a complete observability platform based on artificial intelligence.
SaaS is hosted by Dynatrace, Managed is installed on your own infrastructure.
A single agent that installs on your hosts to automatically collect all metrics and traces.
Davis AI analyzes billions of dependencies to find the exact root cause of a problem.
Dynatrace's data lakehouse designed specifically for unified observability data.
Yes, Dynatrace integrates perfectly with Docker, Kubernetes, and OpenShift.
The 'Monitoring as Code' tool to manage your Dynatrace configurations as code.
Yes, with synthetic monitors (Synthetic Monitoring).
Thanks to DDUs (Davis Data Units) which allow tracking the consumption of different metrics.
Yes, there are several levels such as Associate, Advanced Observability, etc.