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Training Spin (Fermyon) - Optimizing Wasm Edge Microservices

Ref: FSU390
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 the advanced Spin (Fermyon) architecture for professional certifying applications
  • Develop optimized Wasm components using Spin training for scalable enterprise applications
  • Design edge deployments with Spin (Fermyon) to enhance serverless skills
  • Implement dynamic retargeting via Spin in online advertising contexts
  • Optimize Spin performance to reduce latencies in professional production environments
  • Integrate Spin (Fermyon) with advertising stacks such as Google Ads and SEA
  • Deploy secure CI/CD pipelines with Spin for certifying 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 1Advanced Fundamentals of Spin (Fermyon): Wasm Architecture and Edge Components (Rust Tools, HTTP Triggers)

Dive into the modular architecture of Spin (Fermyon), configure Wasm components with Rust for HTTP and Redis triggers, complete practical exercises on edge microservices, test interactions with in-memory databases, produce a first local deployment via Fermyon CLI, analyze logs to identify early bottlenecks, integrate concrete advertising cases such as real-time tracking.

Module 2Developing Spin (Fermyon) Components: Advanced Triggers and Bindings (WIT Tools, Redis, Postgres)

Develop multi-trigger Spin (Fermyon) components with WIT bindings for Redis and Postgres, implement asynchronous handlers for advertising streams, conduct practical workshops on horizontal scaling, debug with Fermyon spin up, generate Kubernetes-ready manifests, simulate SEA retargeting scenarios, measure performance via integrated benchmarks, produce reusable deliverables for CI pipelines.

Module 3Optimizing Spin (Fermyon) Performance: Cold Starts and Memory (Profiling Tools, Strategic Caching)

Optimize Spin (Fermyon) cold starts via pre-warming and advanced caching, profile memory usage with integrated tools, conduct load tests under 1ms latency for personalized ads, adjust configurations for Google Ads-like traffic, practice Wasm component refactoring, analyze metrics with Prometheus, deploy optimized versions on edge clusters, validate gains via simulated A/B testing.

Module 4Integrating Spin (Fermyon) Ecosystem: Kubernetes and CI/CD (Helm Tools, GitHub Actions)

Integrate Spin (Fermyon) with Kubernetes via Helm charts, automate CI/CD with GitHub Actions and Fermyon CLI, configure secrets management for production advertising environments, test zero-downtime deployments, implement monitoring with Grafana, practice blue-green rollouts for Facebook Ads scaling, generate custom dashboards, secure APIs with mTLS, produce a fully deployable pipeline.

Module 5Advanced Cases and Security in Spin (Fermyon): Retargeting and Observability (WasmGC Tools, Distributed Tracing)

Explore advanced retargeting cases with Spin (Fermyon) and WasmGC, implement distributed tracing via OpenTelemetry, enhance security with sandboxing and attestations, simulate attacks and mitigations for SEA, deploy in simulated production, analyze full-stack observability, finalize a capstone project integrating Google Ads triggers, receive mentored feedback, export certifying artifacts for professional portfolio.

Evaluation method

  • Practical projects evaluated by experts based on performance and scalability criteria
  • Advanced quizzes on Spin (Fermyon) architecture and edge integrations
  • Real-world case study: SEA retargeting deployment quantified by ROI

Learning method

  • Hands-on project-based learning with Spin (Fermyon) in small groups
  • Individual mentoring for debugging and personalized optimization
  • Production simulations with real Kubernetes and Fermyon CLI tools
  • Continuous feedback and iterations on concrete advertising cases

Methods, materials and delivery

The Training Spin (Fermyon) - Optimizing Wasm Edge Microservices 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 Spin (Fermyon) - Optimizing Wasm Edge Microservices 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 Spin (Fermyon) - Optimizing Wasm Edge Microservices 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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