What skills do you need to work with network cloud services and architectures?

1 Cloud Computing Fundamentals

One of the most essential skills for working with network cloud services and architectures is understanding the basic concepts and principles of cloud computing. This includes the different types of cloud service models (such as IaaS, PaaS, and SaaS), the common cloud deployment models (such as public, private, and hybrid), and the benefits and challenges of cloud computing (such as scalability, security, and cost). You also need to be familiar with the various cloud providers and platforms (such as AWS, Azure, and Google Cloud) and their features and offerings.

2 Cloud Networking Technologies

Another important skill for working with network cloud services and architectures is mastering the cloud networking technologies and tools that enable the communication and connectivity of cloud resources. This includes the protocols and standards that govern the transmission and routing of data over the internet (such as TCP/IP, DNS, and HTTP), the virtualization and abstraction techniques that create and manage cloud networks (such as SDN, NFV, and VPC), and the security and monitoring mechanisms that protect and optimize cloud networks (such as VPN, firewall, and load balancer).

3 Cloud Development and Automation

Another skill for working with network cloud services and architectures is applying the cloud development and automation practices and methodologies that improve the quality and efficiency of cloud solutions. This includes the software engineering skills that enable the design, development, testing, and deployment of cloud applications and services (such as programming languages, frameworks, and APIs), the DevOps skills that facilitate the collaboration and integration of cloud development and operations teams (such as CI/CD, configuration management, and orchestration), and the cloud-native skills that leverage the advantages and capabilities of cloud environments (such as microservices, containers, and serverless).

4 Cloud Data and Analytics

An essential skill for working with network cloud services and architectures is utilizing the cloud data and analytics capabilities and services that enable the storage, processing, and analysis of large and complex data sets. This includes the data management skills that ensure the availability, reliability, and consistency of cloud data sources and repositories (such as databases, data warehouses, and data lakes), the data engineering skills that enable the ingestion, transformation, and integration of cloud data pipelines and workflows (such as ETL, data quality, and data governance), and the data science skills that enable the extraction, visualization, and interpretation of insights and patterns from cloud data (such as machine learning, artificial intelligence, and business intelligence).