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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training Spin Fermyon - Developing Wasm Serverless Microservices training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Spin Fermyon - Developing Wasm Serverless Microservices training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Spin Fermyon - Developing Wasm Serverless Microservices training is carried out through:
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Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into the expert architecture of Spin Fermyon, model Wasm microservices with precise WIT interfaces, configure HTTP and Redis triggers for real enterprise cases, develop your first advanced Spin component in Rust, test inter-component interactions, produce a scalable architecture diagram and an initial performance report.
Build expert Spin components with advanced state management via Redis and NoSQL databases, integrate WIT bindings for complex APIs, use Fermyon CLI for optimized Wasm builds, perform exercises on high-load workloads, debug with detailed traces, generate deployable deliverables, and measure real-time performance gains.
Deploy Spin applications on SpinKube with expert Kubernetes configurations, scale horizontally for traffic spikes, integrate Fermyon Cloud for zero-config deployments, simulate failure recovery scenarios, configure advanced secrets and networking, produce an operational Spin cluster and an automated deployment playbook for the team.
Optimize latency and memory of Spin microservices via wasm-opt profiling and runtime tuning, implement zero-trust security policies, test under load with Fermyon wrangler, analyze production-simulated bottlenecks, apply best practices for ultra-fast cold starts, deliver a quantified optimization report and enterprise-ready configurations.
Integrate Spin into GitHub Actions and GitLab CI/CD pipelines, configure monitoring with Prometheus and Grafana for expert Spin dashboards, develop hooks for hybrid orchestrations, complete a full red thread project with API gateway, conduct a collective code review, produce a skills certification portfolio and a production rollout plan.
Target audience
Rust developers, DevOps engineers, and cloud architects advancing serverless skills
Prerequisites
Expertise in Rust, WebAssembly, Docker/Kubernetes, and serverless architectures
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