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Viranson HOUNNOUVI

Dans ce cours de 2 heures, basé sur un projet, vous découvrirez le service Group Auto Scaling de Amazon AWS EC2, vous prendrez connaissance des fonctionnalités d’Amazon EC2 puis vous apprendrez à créer et gérer des instances EC2.

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Dans ce cours de 2 heures, basé sur un projet, vous découvrirez le service Group Auto Scaling de Amazon AWS EC2, vous prendrez connaissance des fonctionnalités d’Amazon EC2 puis vous apprendrez à créer et gérer des instances EC2.

A la fin de ce projet guidé, vous serez en mesure de:

- Créer un groupe d’Auto Scaling avec un dimensionnement basé sur l’usage du CPU.

- Tester la montée en charge automatique de Groupe d'instances EC2 basée sur l’usage du CPU.

- Lancer une instance Amazon EC2, vous y connecter par SSH puis y déployer une application web.

- Créer une image AMI de votre instance EC2 et une configuration de lancement.

- Créer un groupe cible et un Load Balancer HTTP/HTTPS.

- Créer un groupe d’Auto Scaling avec un dimensionnement basé sur le nombre de requêtes sur l’équilibreur de charge.

- Tester la montée en charge automatique basée sur le nombre de requêtes sur l’équilibreur de charge.

Remarque: Vous aurez besoin d'un compte AWS pour suivre ce cours. Toutes les ressources utilisées dans le cours relèvent de l'offre gratuite fournie par AWS pour les nouveaux utilisateurs. Mais vous pourriez être facturé si vous avez déjà utilisé vos crédits gratuits.

Ce projet guidé est recommandé aux ingénieurs du cloud, administrateurs système, ingénieurs en informatique et toute personne ayant des connaissances de base sur le service EC2 de Amazon AWS. Vous n'avez pas besoin d'être un ingénieur en informatique ou en cloud pour réalisé le présent projet mais il vous serait utile de connaître les bases en administration Système Linux, en ligne de commande Linux et sur le service EC2 de Amazon AWS.

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What's inside

Syllabus

Aperçu du projet
Dans ce projet guidé, vous découvrirez le service Group Auto Scaling de Amazon AWS EC2, vous prendrez connaissance des fonctionnalités d’Amazon EC2 puis vous apprendrez à créer et gérer des instances EC2.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Approprié aux ingénieurs cloud, administrateurs système, ingénieurs informatiques et personnes ayant des notions du service EC2 d'Amazon AWS
Fournit une étude complète du service Group Auto Scaling de Amazon AWS EC2
Enseigne la création et la gestion d'instances EC2
Comprend des exercices pratiques sur le déploiement d'une application Web et la création d'une image AMI
Nécessite des connaissances de base en administration système Linux et en ligne de commande Linux
Peut nécessiter des frais si les crédits AWS gratuits sont épuisés

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Créer un Groupe Auto Scaling Amazon EC2 avec Load Balancer with these activities:
Revoyez les concepts de base d'Amazon EC2
Revoir les concepts de base d'EC2 vous aidera à suivre plus facilement le cours.
Browse courses on Amazon EC2
Show steps
  • Lisez la documentation officielle d'AWS sur EC2
  • Consultez les tutoriels et les guides d'AWS
Révisez les bases de la ligne de commande Linux
Rafraîchir vos connaissances en ligne de commande Linux vous aidera à naviguer plus efficacement dans les instances EC2.
Browse courses on Terminal
Show steps
  • Ouvrez un terminal Linux
  • Passez en revue les commandes de base
  • Entraînez-vous à utiliser les commandes de navigation
Créez votre propre recueil de ressources sur le service Group Auto Scaling
Compiler vos propres ressources vous fournira une référence centrale pour l'ensemble du cours.
Browse courses on Documentation
Show steps
  • Collectez des articles, des tutoriels et des documents
  • Organisez les ressources en catégories
  • Créez une page Web ou un document partagé
Show all three activities

Career center

Learners who complete Créer un Groupe Auto Scaling Amazon EC2 avec Load Balancer will develop knowledge and skills that may be useful to these careers:
Site Reliability Engineer
Site Reliability Engineers are responsible for the reliability and performance of websites and applications. This course helps prepare for this role by teaching learners how to create and manage an Amazon EC2 Auto Scaling Group with a Load Balancer. This knowledge will help Site Reliability Engineers ensure high availability and scalability of their systems.
Cloud Infrastructure Engineer
Cloud Infrastructure Engineers design, deploy, and manage cloud infrastructure. This course helps prepare for this role by teaching learners how to create and manage Amazon EC2 instances and configure Load Balancers, essential skills for managing and optimizing cloud infrastructure.
Cloud Security Architect
Cloud Security Architects design and implement security measures for cloud-based systems. This course helps prepare for this role by teaching learners how to configure security settings for Amazon EC2 instances and Load Balancers. This will aid Cloud Security Architects in protecting cloud environments and data.
Cloud Support Engineer
Cloud Support Engineers provide technical support for cloud-based systems. This course will be useful in preparing for this role by teaching learners how to troubleshoot and resolve issues with Amazon EC2 instances and Load Balancers.
Network Engineer
Network Engineers design, implement, and maintain computer networks. This course teaches learners how to create and configure a Load Balancer, providing Network Engineers with the skills to manage network traffic and ensure optimal performance.
DevOps Engineer
DevOps Engineers work to bridge the gap between software development and IT operations. This course teaches learners how to create and manage Amazon EC2 instances, which will help DevOps Engineers manage cloud infrastructure and ensure efficient deployment of applications.
Cloud Operations Engineer
Cloud Operations Engineers manage and maintain cloud infrastructure and environments. This course helps prepare for this role by teaching learners how to create and manage Amazon EC2 instances and configure Load Balancers, skills essential for managing and optimizing cloud infrastructure.
Cloud Architect
Cloud Architects combine expertise in data science and infrastructure to design, deploy, and manage cloud solutions. This course helps prepare for this role by teaching learners how to build an Amazon EC2 Auto Scaling Group with a Load Balancer. This will help a Cloud Architect manage cloud infrastructure to handle fluctuating demand and ensure high availability.
Information Security Analyst
Information Security Analysts plan and implement security measures to protect information and systems from unauthorized access, use, or disclosure. This course provides a foundation in cloud security by teaching learners how to configure security settings for Amazon EC2 instances and Load Balancers. This knowledge is valuable for Information Security Analysts responsible for securing cloud environments.
Systems Engineer
Systems Engineers design, deploy, and manage IT systems. This course helps prepare for this role by teaching learners how to create and manage Amazon EC2 instances, which is a fundamental skill for Systems Engineers to manage infrastructure and ensure system reliability.
Cloud Developer
Cloud Developers design, develop, and deploy applications on cloud platforms. This course may be useful in preparing for this role by teaching learners how to create and manage Amazon EC2 instances and configure Load Balancers.
IT Consultant
IT Consultants provide guidance and expertise to organizations on IT-related matters. This course helps prepare for this role by providing a foundation in cloud computing and infrastructure management, which is essential for IT Consultants to advise clients on cloud adoption and optimization.
Data Engineer
Data Engineers design and build data pipelines and manage data infrastructure. This course provides a foundation for understanding cloud computing and infrastructure management, which can be beneficial for Data Engineers to build and manage data pipelines on cloud platforms.
Software Engineer
Software Engineers design, develop, and maintain software applications. While this course may not directly teach software development, it provides a foundation for understanding cloud infrastructure and deployment, which is essential for Software Engineers to build and deploy scalable applications.
Data Scientist
Data Scientists use data to solve business problems. This course may not directly relate to data science, but it provides a foundation for understanding cloud computing and infrastructure, which can be beneficial for Data Scientists using cloud resources for data processing and storage.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Créer un Groupe Auto Scaling Amazon EC2 avec Load Balancer.
Provides a comprehensive overview of Kubernetes, including how to use Kubernetes to manage containerized applications. It good resource for system administrators who want to learn more about Kubernetes.
Provides a comprehensive overview of Cloud Native DevOps with Kubernetes, including how to use Amazon Elastic Container Service (ECS) to manage EC2 instances. It good resource for software engineers who want to learn more about Cloud Native DevOps.
Provides a comprehensive overview of Prometheus, including how to use Prometheus to monitor and alert on systems. It good resource for system administrators who want to learn more about Prometheus.
Provides a comprehensive overview of Docker, including how to use Docker to create and manage containers. It good resource for developers who want to learn more about Docker.
Provides a comprehensive overview of Amazon Web Services (AWS), including EC2. It good resource for beginners who want to learn more about AWS.
Provides a comprehensive overview of Elasticsearch, including how to use Elasticsearch to store and search data. It good resource for data engineers who want to learn more about Elasticsearch.
Provides a comprehensive overview of reactive programming, including how to use RxJava to build reactive applications. It good resource for developers who want to learn more about reactive programming.
Provides a comprehensive overview of machine learning, including how to use Scikit-Learn, Keras, and TensorFlow to build and train machine learning models. It good resource for data scientists who want to learn more about machine learning.
Ce livre fournit une introduction complète au cloud computing. Il couvre les concepts fondamentaux, les technologies et les architectures, y compris le service d'Auto Scaling EC2.

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