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Training Backstage - Supervising Production Infrastructures

Ref: QAF147
10 people max.
5500€ 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 advanced Backstage architecture for professional service supervision
  • Develop custom Backstage plugins integrating Prometheus and Grafana in enterprise settings
  • Implement ELK Stack dashboards in Backstage for real-time certified monitoring
  • Optimize Datadog integration with Backstage for proactive incident alerting
  • Design automated Backstage workflows to boost collective DevOps skills
  • Deploy Backstage in a Kubernetes cluster for advanced monitoring scalability
  • Evaluate and certify supervision skills via Backstage in professional contexts

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 1Backstage Architecture: Advanced Fundamentals and Scaling (Kubernetes, Core Plugins)

Dive into Backstage's modular architecture with a focus on production scaling, configure PostgreSQL and Redis backends for high availability, install Backstage via Helm on Kubernetes, complete practical exercises on software entity customization, generate your first scaffolding plugins, test resilience with load simulations, produce a deliverable architecture diagram for your company.

Module 2Backstage & Prometheus/Grafana: Advanced Monitoring Integration (Dynamic Dashboards)

Integrate Prometheus and Grafana natively into Backstage via official plugins, deploy exporters for service metrics, create interactive dashboards contextualized to Backstage entities, automate alerts via YAML templates, practice on real enterprise cases with advanced PromQL queries, optimize visualizations for SRE teams, export configurable PDF reports as concrete deliverables.

Module 3Backstage with ELK Stack: Logs and Real-Time Supervision (Ingestion Pipelines)

Configure ELK Stack in Backstage for unified log ingestion, develop custom plugins for Elasticsearch queries, visualize enriched Kibana logs in the developer portal, implement advanced Grok parsers for anomalies, test on large enterprise datasets, automate alerting workflows via Beats, generate interactive educational deliverables like heatmaps and timelines.

Module 4Datadog in Backstage: Proactive Alerting and AI Ops (API Integrations)

Master the Datadog API to enrich Backstage with synthetic metrics, deploy dynamic monitors linked to cataloged services, integrate Datadog notebooks as embedded plugins, practice AI ops for incident predictions, configure real-time tracked SLOs, simulate multi-channel alert escalations, produce a Datadog-Backstage playbook as a skill-certifying deliverable.

Module 5Production Backstage Deployment: Security, CI/CD, and Optimization (Full Stack)

Deploy Backstage in high-availability mode with OAuth and RBAC security, integrate CI/CD via GitHub Actions and ArgoCD, optimize performance with caching and Ingress proxies, audit GDPR compliance in monitoring plugins, complete a capstone project integrating Prometheus-ELK-Datadog, evaluate via peer review, deliver a complete company-ready deployment dossier.

Evaluation method

  • Daily interactive quizzes on remote platforms
  • Final Backstage project with monitoring integrations evaluated by experts
  • Qualiopi certificate for validated advanced skills

Learning method

  • 70% hands-on projects on real environments
  • Case studies from Fortune 500 companies using Backstage
  • Individual mentoring via video conference for debugging
  • Post-training resources: GitHub repo and Slack community

Methods, materials and delivery

The Training Backstage - Supervising Production Infrastructures 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 Backstage - Supervising Production Infrastructures 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 Backstage - Supervising Production Infrastructures 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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