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Training Argo Rollouts - Deploy Kubernetes without Downtime

Ref: LRB280
10 people max.
6125€ 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 Argo Rollouts for professional progressive deployments
  • Configure Canary and Blue-Green strategies in enterprise environments
  • Implement automated analysis with Prometheus and Istio
  • Optimize rollouts for certified high availability
  • Develop advanced A/B experiments and feature flags
  • Deploy Argo Rollouts in production with integrated monitoring
  • Acquire GitOps skills for secure pipelines

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Argo Rollouts Installation: Configure in a Kubernetes Cluster (Helm, CRDs, ArgoCD Integration)

Rapid deployment of Argo Rollouts via Helm in a Minikube or EKS cluster, creation of essential Custom Resource Definitions, initial configuration of the controller manager with high availability, practical exercises on custom YAML manifests, validation of installations through pod rolling update tests, generation of a first basic Rollout with pause and resume to simulate professional environments.

Module 2Canary Strategies with Argo Rollouts: Progressive Traffic Shifting (Istio, Metrics Providers)

Implementation of Canary deployments with stable steps and dynamic traffic percentages, integration of Istio VirtualService for intelligent routing, use of providers like Prometheus for automated decisions, practical workshops on performance degradation simulations, real-time adjustment of traffic weights, generation of analytical reports to validate stability before full rollout.

Module 3Blue-Green with Argo Rollouts: Atomic Switch without Interruption (Services, Preview URLs)

Design of Blue-Green deployments with two parallel ReplicaSets, automation of the switch via Argo Rollouts Service, activation of preview URLs for qualitative testing, management of automatic rollbacks in case of anomalies, real-world cases on critical e-commerce applications, exercises for switching in 30 seconds with Grafana monitoring, documentation of strategies for DevOps teams.

Module 4Advanced Analysis with Argo Rollouts: Metrics, Experiments, and Pause Conditions (Prometheus, Seldon)

Implementation of analyses based on SLOs with custom Prometheus queries, configuration of A/B and multivariate experiments, definition of pause conditions on 5xx errors or high latency, integration of Seldon for ML models in rollouts, practical projects on real enterprise datasets, automatic tuning of thresholds, export of results for certification audits.

Module 5Production Argo Rollouts: Best Practices, Scaling, and Troubleshooting (HA, GitOps)

Deployment in high availability with multiple controllers and leader election, optimization for multi-zone AWS/GCP clusters, advanced troubleshooting of stuck rollouts using kubectl debug, full GitOps integration with ArgoCD sync waves, simulation of real incidents and quick resolutions, completion of the ongoing project with CI/CD pipeline, delivery of reusable templates for the enterprise.

Evaluation method

  • Technical MCQ on advanced Argo Rollouts concepts
  • Evaluation through live deployment of a Canary Rollout
  • Presentation of the ongoing project with metrics analysis

Learning method

  • Courses delivered by an expert DevOps trainer with production experience
  • Practical exercises on real Kubernetes clusters
  • End-to-end ongoing project with Argo Rollouts
  • Detailed course materials and YAML templates

Methods, materials and delivery

The Training Argo Rollouts - Deploy Kubernetes without Downtime 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 Argo Rollouts - Deploy Kubernetes without Downtime 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 Argo Rollouts - Deploy Kubernetes without Downtime 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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