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Talks & Workshops

Cloud Architect Course

Professional Cloud Architects enable organizations to leverage Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud, they design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

Duration 13 days • 91 hours • $9900 excl tax

Schedule a session (inter, intra or tailored)

Google Cloud Fundamentals: Core Infrastructure

What you will learn in 1 day

(3.8/5) 47 ratings
The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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Architecting with Google Compute Engine

What you will learn in 3 days
- Connaître les bonnes pratiques relatives au développement d’applications
- Choisir la solution de stockage adaptée pour les données des applications
- Mettre en œuvre la gestion des identités fédérées
- Développer des microservices et des composants d’application faiblement couplés
- Intégrer les composants d’une application et les sources de données
- Déboguer, tracer et surveiller des applications
- Effectuer des déploiements reproductibles à l’aide de conteneurs et de services de déploiement
- Choisir l’environnement d’exécution adapté à l’application, utiliser Google Kubernetes Engine en tant qu’environnement d’exécution, puis passer à une solution no-ops avec l’environnement flexible Google App Engine
(0/5) 3 ratings
The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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Premiers pas avec Google Kubernetes Engine

What you will learn in 1 day
- Identifier les piliers de l'architecture de Kubernetes.
- Identifier les piliers de l'architecture de Google Cloud.
- Identifier comment le réseau fonctionne dans Kubernetes.
- Créer des clusters Kubernetes en utilisant la console Google Cloud Console et les commandes gcloud / kubectl.
(0/5) 0 ratings
The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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Architecting with Google Kubernetes Engine

What you will learn in 3 days
- Understand how software containers work.
- Understand the architecture of Kubernetes.
- Understand the architecture of GoogleCloud.
- Understand how pod networking works in Google Kubernetes Engine.
- Create and manage Kubernetes Engine clusters using the Google Cloud Console and gcloud/kubectl commands.
- Launch, rollback, and expose jobs in Kubernetes.
- Manage access control using Kubernetes RBAC and IAM.
- Manage pod security policies and network policies.
- Use Secrets and ConfigMaps to isolate security credentials and configuration artifacts.
- Understand Google Cloud choices for managed storage services.
- Monitor applications running in Google Kubernetes Engine.
(4.1/5) 46 ratings
The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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Logging, Monitoring, and Observability in Google Cloud

What you will learn in 3 days
- Plan and implement a well-architected logging and monitoring architecture
- Measure and avoid customer pain with Service Level Indicators (SLIs) and Service Level Objectives (SLOs)
- Visualize cloud health with dashboards
- Construct automated alerts
- Monitor, troubleshoot, and improve Google Cloud infrastructure
- Write, analyze, and export Google Cloud logs
- Find code defects, identify bottlenecks, and improve performance of production code
- Optimize monitoring costs
(3.7/5) 20 ratings
The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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Reliable Google Cloud Infrastructure: Design and Process

What you will learn in 2 days
- Apply a tool set of questions, techniques and design considerations
- Define application requirements and express them objectively as KPIs, SLO's and SLI's
- Decompose application requirements to find the right microservice boundaries
- Leverage Google Cloud developer tools to set up modern, automated deployment pipelines
- Choose the appropriate Google Cloud Storage services based on application requirements
- Architect cloud and hybrid networks
- Implement reliable, scalable, resilient applications balancing key performance metrics with cost
- Choose the right Google Cloud deployment services for your applications
- Secure cloud applications, data and infrastructure
- Monitor service level objectives and costs using Stackdriver tools
(0/5) 10 ratings
The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
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