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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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Don't let this gap widen
Sans Temporal.io, 28% des workflows backend échouent à cause de bugs transitoires, générant des downtimes coûtant 45 000€ en moyenne par incident majeur selon Gartner.
Les équipes sans orchestration durable perdent 35% de temps en reconceptions manuelles et maintenance corrective, freinant les lancements produits.
En 2024, 72% des entreprises Fortune 500 adoptent des outils comme Temporal, écartant les profils non formés des opportunités DevOps.
Chaque trimestre sans compétences en workflows scalables creuse l'écart concurrentiel, expose à des pertes de revenus et compromet la résilience business.
The Formation Temporal.io - Orchestrer des workflows durables 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 Formation Temporal.io - Orchestrer des workflows durables 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 Formation Temporal.io - Orchestrer des workflows durables training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
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.
Installation rapide de l'environnement Temporal local via Docker, prise en main de la CLI pour lancer des clusters, découverte des SDK en Go et TypeScript pour coder vos premières activities et workflows, exécution avec workers dédiés, exercices pratiques sur un cas concret de traitement de commandes e-commerce, visualisation des timelines d'exécution et débogage interactif pour une maîtrise immédiate des concepts durables.
Plongée dans la gestion d'état persistante de Temporal.io, implémentation de timers, retries automatiques et heartbeats pour une résilience optimale, conception de sagas pour coordonner des transactions distribuées, intégration de child workflows imbriqués, ateliers pratiques sur des scénarios d'entreprise comme la validation multi-services, tests de signaux et queries pour interagir dynamiquement, production de livrables robustes prêts pour la production.
Déploiement en cluster avec Temporal sur Kubernetes ou Temporal Cloud, configuration de namespaces et workers scalables, intégration avec outils de monitoring comme Prometheus et Grafana, optimisation des performances via sharding et caching, exercices sur des architectures microservices réelles, simulation d'incidents pour tester la fault-tolerance, génération de dashboards personnalisés et plans de migration pour une mise en production certifiante et sécurisée.
Target audience
Développeurs backend, ingénieurs logiciels et architectes DevOps pour monter en compétences sur les workflows
Prerequisites
Maîtrise d'un langage comme Go, TypeScript ou Python, notions de programmation asynchrone et microservices
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