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Training KEDA - Optimize Event-Driven Autoscaling in Kubernetes

Ref: XBA318
10 people max.
4400€ 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
4 journées
distanciel

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Learning objectives

  • Master expert implementation of KEDA for event-driven autoscaling in certified professional training
  • Develop custom KEDA scalers tailored to enterprise workloads
  • Optimize Kubernetes resources via KEDA to reduce energy consumption
  • Design scalable event-driven architectures with KEDA using expert skills
  • Deploy KEDA in production with high availability and advanced monitoring
  • Integrate KEDA into renewable energy ecosystems for sustainable scaling
  • Certify KEDA skills for a career in sustainable development

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 1KEDA Fundamentals: Installation and Advanced Scalers (Kubernetes, Prometheus, RabbitMQ)

Discover expert installation of KEDA on Kubernetes clusters, configure scalers for events like Prometheus metrics, RabbitMQ queues, Kafka topics, perform practical exercises on minikube, test reactive autoscaling, analyze logs and metrics, produce scaler architecture diagrams, integrate Grafana monitoring to visualize dynamic scaling, apply concrete cases for eco-optimized data centers.

Module 2Custom KEDA Scalers: Development and Tuning (Go, CRDs, Metrics Adapters)

Develop custom KEDA scalers in Go, define ScaledObject and ScaledJob CRDs, implement metrics adapters for custom events, test tuning of concurrency, cooldown, and polling parameters, deploy via Helm charts, simulate high loads with locust, optimize for renewable energy by minimizing idle resources, generate performance reports, integrate CI/CD GitOps with ArgoCD.

Module 3KEDA Integrations: Cloud Ecosystems and Energy (Azure, AWS, OpenTelemetry)

Integrate KEDA with Azure Event Hubs, AWS SQS, GCP Pub/Sub for event-driven scaling, configure OpenTelemetry tracing, secure with RBAC and network policies, migrate HPA to KEDA zero-scale, analyze energy impact via kube-energy, conduct multi-cloud hands-on workshops, deploy Knative serverless workloads, produce reusable blueprints, measure ROI of sustainable scaling in enterprises.

Module 4KEDA in Production: HA, Monitoring, Sustainable Optimization (Istio, Certification)

Deploy KEDA in high availability across multiple namespaces, integrate Istio service mesh, monitor with Prometheus Operator and Alertmanager, optimize for sustainable development by reducing CO2 emissions, troubleshoot failing scalers, prepare for KEDA expert certification, review real cases from renewable energy companies, produce project portfolio, plan secure production rollout.

Evaluation method

  • Advanced technical quiz on KEDA scalers and CRDs
  • Practical project: implement custom scaler in simulated production
  • Case study: energy optimization of Kubernetes cluster with KEDA
  • KEDA expert skills certification exam

Learning method

  • Practical projects 70% of time, real Kubernetes labs
  • Qualiopi-certified pedagogical support, laptops provided
  • Access to video replays 6 months post-training
  • Individual mentoring by KEDA experts for 1 month

Methods, materials and delivery

The Training KEDA - Optimize Event-Driven Autoscaling in Kubernetes 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 - Optimize Event-Driven Autoscaling in Kubernetes 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 - Optimize Event-Driven Autoscaling in Kubernetes 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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