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Training Canary Release - Deploy Without Downtime in Expert Production

Ref: MDY487
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 advanced Canary release strategies in certified professional training
  • Design CI/CD pipelines integrating Canary release to optimize enterprise deployments
  • Deploy canary environments with Terraform and Ansible for robust infrastructure as code
  • Implement monitoring and automated rollback mechanisms during progressive releases
  • Optimize performance and resilience of canary deployments in critical production
  • Develop expert skills in risk management for zero-interruption deployments
  • Obtain a recognized certification validating your professional Canary release skills

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 1Advanced Canary Release Fundamentals: Architectures and Terraform Tools (IaC Modeling)

Dive into expert Canary release principles, analyze advanced microservices topologies with Terraform to model progressive Kubernetes clusters, configure cloud providers like AWS EKS or GCP GKE via reusable modules, perform practical exercises provisioning isolated canary environments, test IaC blueprints for scalability validation, produce a first deployable Terraform template in production simulation, integrate dynamic variables for maximum enterprise flexibility.

Module 2Canary Release CI/CD Pipelines: Ansible Integration for Automated Orchestration

Build expert GitLab CI/CD pipelines integrating Canary release, use Ansible to orchestrate progressive deployments on Kubernetes fleets, deploy custom playbooks managing rollout from 5% to 50% traffic, simulate A/B tests with modular Ansible roles, analyze real-time logs via ELK stack, generate compliance reports for internal audits, apply hybrid blue-green strategies to minimize risks in real production.

Module 3Canary Release Monitoring and Metrics: Advanced Tools for IaC Observability

Implement expert monitoring for Canary release with Prometheus and Grafana on Terraform infrastructure, configure dynamic dashboards tracking latency, error rates, and CPU under canary traffic, integrate Ansible to automate alerts via PagerDuty, analyze real-time anomaly patterns during load exercises, deploy Istio sidecars for precise traffic splitting, produce rapid diagnostic playbooks, validate resilience with chaos engineering on IaC environments.

Module 4Canary Release Rollback and Resilience: Automated Strategies with Terraform Ansible

Master expert rollbacks in Canary release, program automated gates with Argo Rollouts driven by Terraform, deploy Ansible configurations for revert in under 30 seconds, test degradation scenarios via fault injection, integrate OPA policies to secure progressions, simulate major incidents on multi-region clusters, generate documented SOPs for ops teams, optimize success thresholds based on critical business metrics in enterprise.

Module 5Advanced Cases and Canary Release Optimization: Real IaC Projects in Production

Apply Canary release to complex enterprise cases, deploy an end-to-end pipeline with Terraform and Ansible on AWS, integrate Flagger for automated GitOps progressions, analyze Fortune 500 case studies, complete a capstone project simulating monolith-to-microservices canary migration, measure ROI via 70% MTTR reduction, produce a certifying portfolio with replays and templates, prepare integration into your CI/CD workflows for immediate zero-downtime deployments.

Evaluation method

  • Advanced technical quizzes on Canary release architectures and IaC
  • Real case studies with practical Terraform Ansible deployment
  • Final project: Complete validated canary pipeline in production simulation

Learning method

  • 70% hands-on practice on real Kubernetes labs with professional tools
  • Case studies from leading DevOps companies
  • Unlimited access to session replays and post-training resources
  • 3-month coach support + expert alumni community

Methods, materials and delivery

The Training Canary Release - Deploy Without Downtime in Expert Production 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 Canary Release - Deploy Without Downtime in Expert Production 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 Canary Release - Deploy Without Downtime in Expert Production 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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