Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Datadog Training - Master Cloud Monitoring from Day 1 training are: Basic computer knowledge, networking fundamentals, Linux or Windows, first steps in cloud (AWS, Azure, GCP).. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Datadog Training - Master Cloud Monitoring from Day 1 training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Datadog Training - Master Cloud Monitoring from ... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Datadog Training - Master Cloud Monitoring from Day 1 training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Datadog Training - Master Cloud Monitoring from Day 1 training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Datadog Training - Master Cloud Monitoring from Day 1 training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training objectives

Discover the Datadog platform and its main interfaces

Install and configure the Datadog agent on various environments

Create custom dashboards to visualize metrics

Configure intelligent alerts to detect anomalies

Analyze logs and traces to diagnose incidents

Integrate Datadog with common cloud tools and applications

Apply best practices for effective monitoring

Training program

Module 1Day 1: Datadog Discovery: Agent Installation and First Metrics (setup tools, initial dashboards)

Install the Datadog agent on a dedicated VM, configure basic cloud integrations like AWS or Docker, explore the interface to collect your first real-time CPU and memory metrics, perform practical exercises on a concrete web infrastructure case, create your first interactive dashboard, and test simple queries to visualize performance, all while benefiting from immediate feedback from your expert trainer.

Module 2Day 2: Datadog Dashboards and Alerts: Advanced Visualization and Notifications (queries, monitors, SLO)

Build dynamic dashboards with custom graphs and advanced widgets, master queries to filter metrics and logs, configure multi-channel alerts with precise conditions on critical thresholds, apply to a real server outage scenario via interactive labs, optimize SLOs to measure your services' reliability, and integrate Slack or email notifications for immediate responsiveness that boosts your daily operations.

Module 3Day 3: Datadog Logs, APM, and Integrations: Complete Diagnostics (traces, synthetics, best practices)

Analyze centralized logs with parsers and patterns for rapid root cause analysis, discover APM to trace application performance, test synthetics to monitor APIs and websites, integrate Kubernetes or Terraform via guided exercises, review best practices to scale your setup, produce a final deliverable: complete monitoring of a modern stack, and leave with ready-to-deploy templates for your company.