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Training KEDA 2026 - Mastering Event-Driven Autoscaling in K8s

Ref: GPZ886
10 people max.
$6,600 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
5 days
in-person

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Learning objectives

  • Master KEDA 2026 architecture for professional event-driven autoscaling in Kubernetes
  • Configure advanced Prometheus and Grafana scalers in a certifying corporate training
  • Integrate ELK Stack with KEDA 2026 for real-time expert supervision skills
  • Optimize Datadog with KEDA for predictive scaling and high availability
  • Deploy secure and scalable KEDA 2026 production pipelines
  • Develop certifying event-driven monitoring skills for 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 1KEDA 2026 Fundamentals: Advanced Architecture and Native Scalers (Kubernetes Events, Triggers)

Dive into the expert architecture of KEDA 2026, explore native scalers like Kafka, RabbitMQ, and HTTP through practical exercises on a dedicated Kubernetes cluster, configure event triggers for critical workloads, analyze logs and metrics in real-time with integrated tools, produce scalability diagrams and a first functional ScaledObject, consolidate skills through a concrete business case for immediate reactive autoscaling.

Module 2KEDA 2026 with Prometheus and Grafana: Custom Metrics Scalers (Alerts, Dashboards)

Integrate Prometheus and Grafana with KEDA 2026 for advanced metrics-based scalers, implement custom PromQL queries in hands-on labs, deploy dynamic Grafana dashboards monitoring scaling events, test high-load scenarios with chaos engineering, generate performance reports and proactive alerts, apply to real DevOps cases to efficiently optimize Kubernetes cluster resources.

Module 3KEDA 2026 with ELK Stack: Event-Driven Logging Supervision (Beats, Logstash Pipelines)

Couple KEDA 2026 with ELK Stack for expert event logging supervision, configure Filebeat and Metricbeat to capture scaling metrics, process enriched Logstash pipelines for KEDA events, visualize correlated autoscaling dashboards in Kibana, simulate outages through practical exercises for high availability tuning, produce troubleshooting playbooks and data exports, strengthen full-stack enterprise monitoring skills.

Module 4KEDA 2026 with Datadog: APM Integration for Predictive Scaling (SLOs, Anomaly Detection)

Leverage Datadog with KEDA 2026 for advanced predictive autoscaling, integrate Datadog agents with custom scalers via API, define SLOs aligned with Kubernetes events, analyze ML-driven anomalies in real labs, optimize dynamic scaling cost budgets, generate heatmaps and automated runbooks, test multi-cloud scenarios for resilient deployments, acquire unified production supervision expertise.

Module 5KEDA 2026 in Production: Secure Optimization and Deployments (Helm, GitOps, Best Practices)

Deploy KEDA 2026 in production using Helm charts and GitOps with ArgoCD, secure RBAC policies for sensitive scalers, optimize expert tuning for mixed workloads, review CNCF best practices in collaborative workshops, simulate compliance audits and canary rollouts, produce a certifying project portfolio with ROI metrics, finalize with personalized coaching for immediate enterprise Kubernetes integration.

Evaluation method

  • Advanced technical MCQ on KEDA 2026 and monitoring tools
  • Practical case study on full-stack ScaledObject deployment
  • Supervised final project with cluster optimization report

Learning method

  • Active pedagogy with 70% hands-on practice on real Kubernetes clusters
  • Individualized labs integrating Prometheus, Grafana, ELK, and Datadog
  • Real business cases for DevOps and SRE high availability
  • Post-training support with unlimited video resources for 6 months

Methods, materials and delivery

The Training KEDA 2026 - Mastering Event-Driven Autoscaling in K8s 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 - Mastering Event-Driven Autoscaling in K8s 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 - Mastering Event-Driven Autoscaling in K8s 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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