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Training KEDA 2026 - Advanced Event-Driven Kubernetes Autoscaler

Ref: FLE141
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 KEDA 2026 for professional event-driven autoscaling in enterprise environments
  • Develop custom scalers tailored to critical Kubernetes workloads
  • Implement KEDA integration with cloud-native event sources
  • Optimize autoscaling performance to reduce infrastructure costs
  • Design scalable, certifiable architectures with KEDA monitoring
  • Deploy KEDA 2026 in production with high availability and security
  • Acquire expert skills to certify your DevOps teams

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 1Fundamentals: Install and configure KEDA 2026 (Helm, CRDs, ScaledObject)

Quick installation of KEDA 2026 via Helm on an expert Kubernetes cluster, configuration of essential CRDs for ScaledObjects and Triggers, exploration of 2026 new features like hybrid scalers, practical exercises on a simulated enterprise workload, creation of your first functional ScaledJob with real-time validation, diagnosis of common errors and initial resource optimization for smooth production deployment.

Module 2Advanced Scalers: Implement KEDA 2026 with Kafka and Redis (custom metrics)

Deep dive into KafkaStreams and Redis scalers for KEDA 2026, development of custom Triggers on real event topics, implementation of custom metrics via Prometheus Adapter, hands-on workshops on scaling microservices based on enterprise Kafka streams, load testing with Locust to validate reactive autoscaling, generation of performance reports and fine-tuning for professional, certifiable scalability.

Module 3Event Integrations: Connect KEDA 2026 to AWS SQS and Azure Event Hubs

Expert integration of KEDA 2026 with cloud queues like AWS SQS and Azure Event Hubs, configuration of multi-trigger ScaledObjects for hybrid workloads, exercises on real enterprise use cases with serverless events, implementation of fallback HPA for resilience, simulation of traffic spikes and live monitoring via Grafana, creation of custom dashboards and documentation of scalable architectures for DevOps teams.

Module 4Monitoring and Optimization: Tune KEDA 2026 for production (cooldown, lag)

Advanced analysis of KEDA 2026 metrics with Prometheus and Grafana, optimization of cooldown, pollingInterval, and lagThreshold parameters to minimize costs, workshops on expert scaler tuning for critical environments, enterprise case studies with 40% cloud cost reductions, implementation of custom alerts and auto-healing, production of actionable optimization plans for enterprise skills certification.

Module 5Production Deployment: Secure and certify KEDA 2026 (RBAC, high availability)

Secure deployment of KEDA 2026 in HA clusters with advanced RBAC and NetworkPolicies, setup of GitOps via ArgoCD for continuous CI/CD, final exercises on the enterprise-scale capstone project, security audit and certifiable compliance, failover and global scaling tests, delivery of complete deliverables including Helm manifests and maintenance playbooks for immediate professional production adoption.

Evaluation method

  • Expert multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises and code reviews
  • Presentation of the KEDA 2026 capstone project to the certified trainer

Learning method

  • Courses led by an active DevOps expert trainer
  • Hands-on exercises on real enterprise Kubernetes clusters
  • Progressive capstone project with KEDA 2026 throughout the training
  • Comprehensive course materials and open-source resources provided to each participant

Methods, materials and delivery

The Training KEDA 2026 - Advanced Event-Driven Kubernetes Autoscaler 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 KEDA 2026 - Advanced Event-Driven Kubernetes Autoscaler 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 KEDA 2026 - Advanced Event-Driven Kubernetes Autoscaler 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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