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Training Datadog - Mastering Expert Monitoring in 2026

Ref: FAB204
10 people max.
7000€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the Datadog architecture for scalable professional enterprise monitoring
  • Develop advanced dashboards and predictive alerts with certification
  • Implement APM and distributed tracing to optimize performance
  • Configure log analysis and security with AI to detect anomalies
  • Automate cloud integrations and DevOps workflows in production
  • Optimize Datadog costs and governance for expert-level skills
  • Deploy full-stack observability solutions tailored to 2026

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Datadog Architecture: Expert Configuration and Scalability (agents, sites, APIs)

Dive into advanced Datadog agent installation on Kubernetes and hybrid servers, configure global sites for high availability, explore REST APIs for custom automation, perform exercises on migrating a legacy stack to Datadog, produce a scalable architecture diagram with custom metrics, and validate with a live performance audit to immediately boost your professional infrastructure.

Module 2Datadog Dashboards: Advanced Visualization and AI Alerts (SLO, Watchdog)

Create multi-tenant dynamic dashboards with reusable templates and collaborative notebooks, integrate SLO/SLI to measure service reliability, configure Watchdog for ML-based predictive alerts, apply real enterprise cases like real-time e-commerce monitoring, generate automated exportable reports, and test crisis scenarios to refine thresholds, transforming data into actionable insights.

Module 3Datadog APM: Distributed Tracing and Profiling (services, RUM, Synthetic tests)

Install and optimize APM to trace full-stack microservices, analyze bottlenecks with flamegraphs and custom spans, integrate RUM to monitor end-user experience, deploy API and browser Synthetic tests for proactive validation, work on a critical application red thread project, produce latency heatmaps, and optimize queries to reduce costs, mastering end-to-end performance in expert environments.

Module 4Datadog Logs and Security: Semantic Analysis and Threat Detection (Cloud SIEM)

Transform terabytes of logs into ultra-fast faceted searches with processors and pipelines, implement Cloud SIEM for real-time zero-day threat detection, configure log-metrics-trace correlations for unified observability, apply custom rules to real enterprise incidents, generate automated incident playbooks, and simulate attacks to validate security posture, elevating skills to essential certification level.

Module 5Datadog Automation: Integrations and 2026 Optimization (Terraform, Event Management)

Automate Datadog deployments via Terraform and GitHub Actions for native CI/CD, integrate Event Management with PagerDuty and Slack for seamless incident management, optimize costs with tag-based budgets and AI anomaly detection, explore 2026 innovations like GenAI observability, finalize red thread project with full governance dashboard, and deploy in simulated production for immediate enterprise ROI.

Evaluation method

  • Expert MCQ on Datadog APIs and advanced configurations
  • Evaluation via red thread project and real incident cases
  • Oral defense of custom dashboard and security playbook

Learning method

  • Live sessions by Datadog-certified trainer active as SRE
  • Hands-on exercises on real cloud labs and dedicated Datadog accounts
  • Personalized evolving red thread project over 5 days
  • Digital course materials + unlimited video replays

Methods, materials and delivery

The Training Datadog - Mastering Expert Monitoring in 2026 program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Datadog - Mastering Expert Monitoring in 2026 program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Datadog - Mastering Expert Monitoring in 2026 program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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