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Training Dapr 2026 - Deploying Resilient Microservices in Energy

Ref: TYD969
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 Dapr 2026 patterns for scalable energy applications
  • Develop professional skills in state management and distributed pub/sub
  • Design certified resilient architectures for green companies
  • Implement Dapr 2026 observability in energy production environments
  • Optimize microservices workflows for sustainable performance
  • Deploy secure Dapr solutions tailored to the environmental sector

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 1Advanced Dapr 2026 Fundamentals: Sidecar Architecture and Service Invocation (Kubernetes, practical exercises)

Discover the evolution of Dapr 2026 with a focus on sidecar pattern for energy microservices, install dedicated Kubernetes clusters, configure service invocation via HTTP/gRPC, perform practical exercises on real renewable monitoring cases, generate first observed workflows, produce deliverable architecture diagrams, integrate tools like Prometheus for immediate traceability.

Module 2Dapr 2026 State Management: Persistence and Consistency (Redis, Cosmos DB, concrete energy cases)

Dive into advanced Dapr 2026 state management, implement distributed actors with Redis/Cosmos DB for real-time energy data, test strong/weak consistency on smart grid scenarios, develop hands-on exercises with ACID transactions, analyze performance via integrated dashboards, create persistent deliverable prototypes, optimize for minimal latency in green production.

Module 3Pub/Sub and Bindings Dapr 2026: Asynchronous Messaging (Kafka, MQTT, Energy IoT Integrations)

Master Dapr 2026 pub/sub for decarbonized energy events, configure Kafka/MQTT bindings with fan-out topologies, simulate solar panel IoT flows via practical exercises, manage dead letter queues and automated retries, integrate Azure Event Hubs for scalability, produce tested messaging pipelines, demonstrate resilience via applied chaos engineering.

Module 4Dapr 2026 Security and Observability: mTLS, Tracing (Istio, Jaeger, GDPR Energy Compliance)

Strengthen Dapr 2026 security with mTLS and OAuth via Istio service mesh, implement distributed tracing with Jaeger/OpenTelemetry for energy apps, analyze structured logs with ELK stack on data leak cases, perform practical GDPR/energy compliance audits, configure advanced WASM policies, generate deliverable observability reports, test simulated breaches for robustness.

Module 5Dapr 2026 Production Deployment: CI/CD, Auto-Scaling (Helm, ArgoCD, Complete Energy Projects)

Finalize with Dapr 2026 production deployment via Helm charts and ArgoCD pipelines, automate CI/CD with GitHub Actions for energy clusters, horizontally scale renewable workloads, integrate advanced Grafana monitoring, develop full-stack sustainable IoT capstone project, present certifiable portfolio deliverables, optimize cloud costs for immediate business ROI.

Evaluation method

  • Daily technical quizzes on Dapr 2026
  • Final energy microservices deployment project
  • Peer code review evaluation and expert feedback

Learning method

  • 80% hands-on pedagogy on real Dapr clusters
  • Concrete renewable energy case studies
  • 6-month post-training video support
  • Group of max 10 for personalized coaching

Methods, materials and delivery

The Training Dapr 2026 - Deploying Resilient Microservices in Energy 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 Dapr 2026 - Deploying Resilient Microservices in Energy 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 Dapr 2026 - Deploying Resilient Microservices in Energy 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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