Cloud Training - DFW Cloud Training, Southlake / Westlake Cloud Training

At cloudtraining.dev, our mission is to provide high-quality resources and training materials for individuals and organizations looking to learn about cloud computing in GCP, Azure, and AWS. We strive to offer comprehensive coverage of all aspects of cloud computing, including certification, infrastructure, and networking. Our goal is to empower our users with the knowledge and skills they need to succeed in the rapidly evolving world of cloud computing.

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Introduction

Cloud computing has become an essential part of modern technology, and it is rapidly growing. It is a technology that allows users to access computing resources over the internet. Cloud computing has many benefits, including scalability, flexibility, and cost-effectiveness. However, getting started with cloud computing can be overwhelming, especially for beginners. This cheat sheet is designed to provide a comprehensive guide to everything you need to know when getting started with cloud computing. It covers the concepts, topics, and categories related to cloud computing, including GCP, Azure, AWS, certification, infrastructure, and networking.

Cloud Computing Concepts

Cloud computing is a technology that allows users to access computing resources over the internet. It is a model for delivering on-demand computing services, including servers, storage, databases, networking, software, analytics, and intelligence. The following are some of the key concepts related to cloud computing:

1. Cloud Deployment Models

There are four main cloud deployment models: public cloud, private cloud, hybrid cloud, and multi-cloud.

• Public Cloud: A public cloud is a cloud computing model where the computing resources are owned and operated by a third-party provider. The resources are shared among multiple users, and users pay for what they use.
• Private Cloud: A private cloud is a cloud computing model where the computing resources are owned and operated by a single organization. The resources are not shared with other organizations, and the organization has complete control over the resources.
• Hybrid Cloud: A hybrid cloud is a cloud computing model that combines the features of public and private clouds. It allows organizations to use both public and private clouds to meet their computing needs.
• Multi-Cloud: A multi-cloud is a cloud computing model that involves using multiple cloud providers to meet an organization's computing needs.

2. Cloud Service Models

There are three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

• Infrastructure as a Service (IaaS): IaaS is a cloud service model that provides computing resources, including servers, storage, and networking, over the internet. Users have complete control over the resources and can install any software they want.
• Platform as a Service (PaaS): PaaS is a cloud service model that provides a platform for developing, testing, and deploying applications over the internet. The platform includes the operating system, programming language, and other tools required for application development.
• Software as a Service (SaaS): SaaS is a cloud service model that provides software applications over the internet. Users do not have to install or maintain the software, and they pay for what they use.

3. Cloud Computing Benefits

Cloud computing has many benefits, including:

• Scalability: Cloud computing allows users to scale up or down their computing resources as needed.
• Flexibility: Cloud computing allows users to access their computing resources from anywhere with an internet connection.
• Cost-effectiveness: Cloud computing eliminates the need for organizations to invest in expensive hardware and software.
• Security: Cloud computing providers have robust security measures in place to protect users' data.

GCP, Azure, and AWS

GCP, Azure, and AWS are the three main cloud computing providers. They offer a wide range of cloud computing services, including IaaS, PaaS, and SaaS. The following are some of the key concepts related to GCP, Azure, and AWS:

1. GCP

GCP is Google's cloud computing platform. It offers a wide range of cloud computing services, including compute, storage, networking, and databases. Some of the key services offered by GCP include:

• Compute Engine: A service that allows users to create and manage virtual machines.
• Cloud Storage: A service that allows users to store and retrieve data in the cloud.
• Cloud SQL: A service that allows users to create and manage relational databases in the cloud.
• Kubernetes Engine: A service that allows users to deploy and manage containerized applications in the cloud.

2. Azure

Azure is Microsoft's cloud computing platform. It offers a wide range of cloud computing services, including compute, storage, networking, and databases. Some of the key services offered by Azure include:

• Virtual Machines: A service that allows users to create and manage virtual machines.
• Azure Storage: A service that allows users to store and retrieve data in the cloud.
• Azure SQL Database: A service that allows users to create and manage relational databases in the cloud.
• Azure Kubernetes Service: A service that allows users to deploy and manage containerized applications in the cloud.

3. AWS

AWS is Amazon's cloud computing platform. It offers a wide range of cloud computing services, including compute, storage, networking, and databases. Some of the key services offered by AWS include:

• EC2: A service that allows users to create and manage virtual machines.
• S3: A service that allows users to store and retrieve data in the cloud.
• RDS: A service that allows users to create and manage relational databases in the cloud.
• ECS: A service that allows users to deploy and manage containerized applications in the cloud.

Certification

Cloud computing certification is a way to demonstrate your expertise in cloud computing. It is an essential step for anyone who wants to pursue a career in cloud computing. The following are some of the key concepts related to cloud computing certification:

1. Cloud Computing Certifications

There are many cloud computing certifications available, including:

• AWS Certified Solutions Architect: A certification that demonstrates expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS.
• Microsoft Certified: Azure Administrator Associate: A certification that demonstrates expertise in managing Azure resources, including compute, storage, and networking.
• Google Cloud Certified: Professional Cloud Architect: A certification that demonstrates expertise in designing and deploying scalable, highly available, and fault-tolerant systems on GCP.

2. Benefits of Cloud Computing Certification

Cloud computing certification has many benefits, including:

• Demonstrating expertise: Cloud computing certification demonstrates your expertise in cloud computing, which can help you stand out in a competitive job market.
• Career advancement: Cloud computing certification can help you advance your career by opening up new job opportunities.
• Higher salary: Cloud computing certification can lead to higher salaries, as certified professionals are in high demand.

Infrastructure

Cloud computing infrastructure refers to the physical and virtual components that make up a cloud computing environment. The following are some of the key concepts related to cloud computing infrastructure:

1. Cloud Computing Infrastructure Components

Cloud computing infrastructure components include:

• Virtual Machines: Virtual machines are the building blocks of cloud computing. They are created and managed by cloud computing providers and allow users to run their applications in the cloud.
• Storage: Cloud computing providers offer various types of storage, including object storage, block storage, and file storage.
• Networking: Cloud computing providers offer networking services, including virtual private clouds, load balancers, and firewalls.
• Databases: Cloud computing providers offer various types of databases, including relational databases, NoSQL databases, and in-memory databases.

2. Cloud Computing Infrastructure Management

Cloud computing infrastructure management involves managing the physical and virtual components of a cloud computing environment. It includes tasks such as:

• Provisioning: Provisioning involves creating and configuring virtual machines, storage, and networking components.
• Monitoring: Monitoring involves monitoring the performance and availability of virtual machines, storage, and networking components.
• Scaling: Scaling involves adding or removing virtual machines, storage, and networking components as needed to meet changing demand.

Networking

Cloud computing networking refers to the process of connecting virtual machines, storage, and other components in a cloud computing environment. The following are some of the key concepts related to cloud computing networking:

1. Cloud Computing Networking Components

Cloud computing networking components include:

• Virtual Private Clouds: Virtual private clouds are isolated networks within a cloud computing environment. They allow users to create their own private network in the cloud.
• Load Balancers: Load balancers distribute incoming traffic across multiple virtual machines to improve performance and availability.
• Firewalls: Firewalls are used to control access to virtual machines and other components in a cloud computing environment.
• VPNs: VPNs allow users to connect to a cloud computing environment securely over the internet.

2. Cloud Computing Networking Management

Cloud computing networking management involves managing the virtual private clouds, load balancers, firewalls, and VPNs in a cloud computing environment. It includes tasks such as:

• Configuring virtual private clouds: Configuring virtual private clouds involves setting up the network topology, subnets, and IP addresses.
• Configuring load balancers: Configuring load balancers involves setting up the load balancing algorithm, health checks, and SSL certificates.
• Configuring firewalls: Configuring firewalls involves setting up rules to control access to virtual machines and other components in a cloud computing environment.
• Configuring VPNs: Configuring VPNs involves setting up the VPN gateway, VPN connection, and VPN client.

Conclusion

Cloud computing is a rapidly growing technology that offers many benefits, including scalability, flexibility, and cost-effectiveness. Getting started with cloud computing can be overwhelming, especially for beginners. This cheat sheet provides a comprehensive guide to everything you need to know when getting started with cloud computing. It covers the concepts, topics, and categories related to cloud computing, including GCP, Azure, AWS, certification, infrastructure, and networking. By following this cheat sheet, you can gain a solid understanding of cloud computing and start your journey towards becoming a cloud computing expert.

Common Terms, Definitions and Jargon

1. Cloud Computing - The delivery of computing services over the internet, including storage, processing power, and applications.
2. GCP - Google Cloud Platform, a cloud computing platform offered by Google.
3. Azure - Microsoft's cloud computing platform.
4. AWS - Amazon Web Services, a cloud computing platform offered by Amazon.
5. Infrastructure - The underlying physical or virtual components that support the operation of a system or application.
6. Networking - The process of connecting devices and systems to enable communication and data transfer.
7. Certification - A credential that verifies an individual's knowledge and skills in a particular area.
8. Virtualization - The creation of a virtual version of something, such as an operating system or network.
9. Serverless - A cloud computing model where the cloud provider manages the infrastructure and automatically scales resources based on demand.
10. Containerization - The process of packaging an application and its dependencies into a container for deployment and management.
11. Kubernetes - An open-source container orchestration platform for automating deployment, scaling, and management of containerized applications.
12. DevOps - A set of practices that combines software development and IT operations to improve collaboration and efficiency.
13. Microservices - A software architecture pattern where applications are broken down into small, independent services that can be developed and deployed separately.
14. Big Data - Large and complex data sets that require specialized tools and techniques for processing and analysis.
15. Machine Learning - A subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed.
16. Artificial Intelligence - The simulation of human intelligence processes by machines, including learning, reasoning, and self-correction.
17. Internet of Things (IoT) - The network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, and connectivity.
18. Cloud Security - The set of policies, technologies, and controls used to protect cloud-based systems and data from unauthorized access, theft, or damage.
19. Cloud Migration - The process of moving applications, data, and other business elements from an organization's on-premises infrastructure to the cloud.
20. Cloud Native - A term used to describe applications that are designed and built specifically for cloud environments.

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