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 Expert Training - Master Advanced Observability training are: Intermediate Datadog proficiency, advanced Linux, Python/Bash scripting, AWS/GCP/Azure cloud experience.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Datadog Expert Training - Master Advanced Observability training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Datadog Expert Training - Master Advanced Observ... | 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 Expert Training - Master Advanced Observability 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 Expert Training - Master Advanced Observability 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 Expert Training - Master Advanced Observability 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 program

Module 1Day 1: Advanced Datadog Configuration - APIs, custom agents, cloud integrations

Dive into Datadog APIs to automate deployments, configure agents on Kubernetes, integrate AWS/GCP live, perform practical exercises on metrics pipelines, create your first Python scripts for custom queries, obtain deployable deliverables that boost your observability starting tomorrow.

Module 2Day 2: Expert Dashboards and Metrics - SLO/SLI, dynamic visualizations

Build advanced SLO dashboards with reusable templates, analyze custom metrics via DogStatsD, test complex GraphQL queries, apply real-world cases to auto-scaling, generate exportable reports, experience the thrill of visualizations that reveal hidden insights in real time.

Module 3Day 3: Professional Logs and Alerts - Parsing pipelines, automated notifications

Master logs pipelines with multi-stage processors, implement multi-trigger alerts, integrate Slack/PagerDuty via webhooks, process massive logs in real exercises, create scripted remediations, leave with reliable alerts that prevent 90% of incidents before impact.

Module 4Day 4: APM and Distributed Traces - Service profiling, bottlenecks

Deploy APM on Node.js/Java microservices, analyze end-to-end traces, identify bottlenecks via flamegraphs, optimize custom spans, simulate Kubernetes loads, produce actionable performance reports, transform your apps into ultra-performant resilient systems.

Module 5Day 5: Automations and Optimization - Terraform, costs, capstone project

Automate everything via Terraform/IaC for Datadog, calculate monitoring ROI, reduce bills by 30% in practical labs, integrate security monitoring, complete a full project on your personal cluster, leave certified with an expert stack that advances your DevOps career.