MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Intermediate | Genre: eLearning | Language: English | Duration: 6 Lectures (40m) | Size: 874.8 MB
Description
Computing services such as virtual machine instances, container orchestration systems, serverless, etc., gain a lot of attention in the tech world, but storage and networking are also essential for almost all applications. Data storage is a broad topic covering a wide variety of storage mechanisms for different use cases. Networking is vital for service communication, and security is always important, though typically an afterthought.
As the technologies used to build distributed systems keep improving, data storage offerings continue to grow, evolve, and inspire new services. Having a better understanding of these different services can help us build better applications.
This course will help prepare you for the Google Professional Cloud Developer Certification exam, which requires a working knowledge of building cloud-native systems on GCP, and covers a wide variety of topics, from designing distributed systems to knowing how to create different storage resources.
This course focuses on the third section of the exam overview, concentrating specifically on the last four points, which cover data storage creation, networking, and security services.
Learning Objectives
Create data storage resources
Deploy and implement networking resources
Automate resource provisioning with Deployment Manager
Manage service accounts
Intended Audience
IT professionals who want to become cloud-native developers
IT professionals preparing for Google's Professional Cloud Developer exam
Prerequisites
Software development experience
Proficient with at least one programming language
SQL and NoSQL experience
Networking experience (subnets, CIDR notation, and firewalls)
Familiarity with infrastructure-as-code concepts
Download link:
Só visivel para registados e com resposta ao tópico.Only visible to registered and with a reply to the topic.Links are Interchangeable - No Password - Single Extraction