In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.
Ce cours fait partie de la Spécialisation Developing Applications with Google Cloud
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Offert par
À propos de ce cours
15 916 consultations récentes
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 4 sur 4 dans le
Niveau intermédiaire
Approx. 13 heures pour terminer
Anglais
Sous-titres : Anglais
Ce que vous allez apprendre
Deploy applications using Container Builder, Container Registry, and Deployment Manager.
Debug, monitor, and troubleshoot your application using Google Stackdriver.
Compétences que vous acquerrez
- Google Container Engine
- Debugging
- Google Cloud Platform
- Cloud Computing
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 4 sur 4 dans le
Niveau intermédiaire
Approx. 13 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Programme de cours : ce que vous apprendrez dans ce cours
5 heures pour terminer
Deploying Applications
This module covers deploying your applications in Google Cloud.
5 heures pour terminer
8 vidéos (Total 30 min), 3 lectures, 5 quiz
4 heures pour terminer
Execution Environments for your Application
This module covers the various execution environments available for your application in Google Cloud.
4 heures pour terminer
9 vidéos (Total 29 min)
4 heures pour terminer
Debugging, Monitoring, and Performance Tuning
This module covers debugging, monitoring, and tracing performance in your applications using Google Cloud's operations suite.
4 heures pour terminer
10 vidéos (Total 32 min)
Avis
Meilleurs avis pour APP DEPLOYMENT, DEBUGGING, AND PERFORMANCE
par MS21 juil. 2019
The Course was really helpful in understanding statck driver monitoring and different types of applications . The labs were really helpful in understanding the debugging applications etc
par SP3 avr. 2020
This course was really nice. It helped me to learn basics of docker, kubernetes. Also, learnt how to debug apps in GCP. It's really nice learning experience. Thanks a lot!
par SS28 juin 2019
Loved the course. It helped me put a lot of features together. One feedback for Coursera is to include all PDFs in a resource area like they did for the first course.
par PA3 févr. 2020
The Course slides are not readily downloadable from the Course overview. This is something very useful when studying for a certification exam for instance.
À propos du Spécialisation Developing Applications with Google Cloud
In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.
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