OIP 1 1
Spread the love

Cloud computing refers to the delivery of computing services, including servers, storage, databases, networking, software, and more, over the internet (the cloud). Instead of owning physical data centers and servers, companies can access technology resources on an as-needed basis from a cloud service provider, paying only for what they use. This model offers several advantages, including scalability, flexibility, cost-effectiveness, and the ability to access resources from anywhere with an internet connection. Major cloud providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

What Is Cloud Computing?

Operations that can be performed with Cloud Computing?

Cloud computing enables a wide range of operations, including:

  1. Infrastructure as a Service (IaaS): Provisioning and managing virtualized computing resources, such as virtual machines, storage, and networking.
  2. Platform as a Service (PaaS): Providing a platform for developers to build, deploy, and manage applications without worrying about the underlying infrastructure.
  3. Software as a Service (SaaS): Delivering software applications over the internet on a subscription basis, eliminating the need for users to install and maintain software locally.
  4. Data Storage and Management: Storing and managing data in the cloud, including databases, file storage, object storage, and data backup and recovery services.
  5. Big Data Analytics: Processing and analyzing large datasets using cloud-based tools and services, such as data lakes, data warehouses, and analytics platforms.
  6. Artificial Intelligence and Machine Learning: Leveraging cloud-based AI and ML services to build and deploy intelligent applications, including natural language processing, image recognition, and predictive analytics.
  7. Internet of Things (IoT): Collecting, processing, and analyzing data from connected devices and sensors deployed in various environments, with cloud computing providing the necessary infrastructure and scalability.
  8. DevOps and Continuous Integration/Continuous Deployment (CI/CD): Automating the software development lifecycle, from code repository management to testing and deployment, using cloud-based tools and services.
  9. Containerization and Orchestration: Running and managing containerized applications using container orchestration platforms like Kubernetes, which can be deployed and managed in the cloud.
  10. Serverless Computing: Building and deploying applications without managing server infrastructure, where cloud providers dynamically allocate resources based on demand and only charge for actual usage.

What is Virtualization In Cloud Computing?

Virtualization in cloud computing refers to the process of creating a virtual, rather than physical, version of computing resources such as servers, storage devices, networks, or even entire operating systems. This virtualization allows multiple virtual instances to run independently on the same physical hardware, effectively maximizing resource utilization and flexibility.

In a virtualized environment, a software layer called a hypervisor (or virtual machine monitor) abstracts physical hardware resources and allocates them to virtual machines (VMs) or virtualized containers. Each VM operates as if it were a standalone physical machine, with its own CPU, memory, storage, and networking resources.

Virtualization provides several benefits in cloud computing:

  1. Resource Utilization: Virtualization enables better utilization of physical hardware resources by allowing multiple virtual instances to run on the same hardware, reducing the need for dedicated servers.
  2. Isolation: Virtualization provides isolation between virtual instances, ensuring that applications running on one VM do not interfere with or impact applications running on other VMs.
  3. Flexibility and Scalability: Virtualized environments can easily scale up or down based on demand, allowing organizations to allocate resources dynamically and respond to changing workload requirements.
  4. Resource Consolidation: Virtualization allows organizations to consolidate their IT infrastructure by running multiple virtual instances on a smaller number of physical servers, reducing hardware and operational costs.
  5. Disaster Recovery and High Availability: Virtualization simplifies disaster recovery and high availability solutions by enabling the rapid deployment and migration of virtual instances across physical hardware, minimizing downtime in the event of hardware failures or disasters.

Overall, virtualization is a fundamental technology in cloud computing that enables the efficient and flexible allocation of computing resources, leading to cost savings, improved resource utilization, and increased agility for organizations deploying applications and services in the cloud.

Architecture Of Cloud Computing in details ?-

archcloud2

image credit :- gfg

The architecture of cloud computing encompasses several layers and components that work together to deliver various cloud services. Here’s a detailed overview:

  1. Physical Infrastructure Layer:
    • This layer consists of the physical hardware resources such as servers, storage devices, networking equipment, and data centers.
    • Data centers house racks of servers, storage arrays, networking switches, and other infrastructure components.
    • Infrastructure components are interconnected to provide high-speed data transfer and redundancy.
  2. Virtualization Layer:
    • The virtualization layer abstracts physical hardware resources and creates virtual instances of servers, storage, and networking.
    • Hypervisors or virtual machine monitors (VMMs) manage virtual machines (VMs) and allocate physical resources to them.
    • Containers, managed by container runtimes like Docker or Kubernetes, provide lightweight virtualization for applications.
  3. Resource Orchestration Layer:
    • This layer manages the allocation, provisioning, and configuration of virtualized resources.
    • Orchestration tools like Kubernetes, OpenStack, or Apache Mesos automate the deployment and scaling of virtual instances.
    • Orchestration ensures efficient resource utilization and enables dynamic scaling based on demand.
  4. Cloud Services Layer:
    • This layer provides various cloud services to users, developers, and businesses.
    • Infrastructure as a Service (IaaS) offers virtualized computing resources like servers, storage, and networking.
    • Platform as a Service (PaaS) provides development and deployment platforms for building and managing applications.
    • Software as a Service (SaaS) delivers software applications over the internet on a subscription basis.
  5. Management and Monitoring Layer:
    • Tools and services in this layer monitor, manage, and optimize cloud resources and services.
    • Cloud management platforms (CMPs) provide centralized management of cloud infrastructure, applications, and services.
    • Monitoring tools track performance metrics, resource utilization, and health status to ensure availability and performance.
  6. Security and Compliance Layer:
    • Security measures are integrated throughout the cloud architecture to protect data, applications, and infrastructure.
    • Identity and access management (IAM) systems control user access and permissions.
    • Encryption, firewalls, and intrusion detection systems safeguard data and networks from cyber threats.
    • Compliance frameworks ensure adherence to regulatory requirements and industry standards.
  7. Networking Layer:
    • Networking components enable communication between virtual instances, users, and external services.
    • Virtual networks, load balancers, and content delivery networks (CDNs) optimize data transfer and improve performance.
    • Software-defined networking (SDN) technologies provide flexibility and programmability for network configuration.

This architecture provides a scalable, flexible, and reliable foundation for delivering cloud services to users and organizations, enabling them to innovate, collaborate, and grow their businesses efficiently.

Types of Cloud Computing ?

There are several types of cloud computing deployment models and service models:

  1. Deployment Models:a. Public Cloud:
    • Public cloud services are provided by third-party cloud service providers over the internet.
    • Resources such as servers, storage, and applications are shared among multiple customers, offering scalability and cost-effectiveness.
    • Examples include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

    b. Private Cloud:

    • Private cloud infrastructure is dedicated to a single organization and is typically hosted either on-premises or by a third-party provider.
    • It offers greater control, security, and customization compared to public cloud, but may require higher upfront investment.
    • Examples include VMware Cloud Foundation and OpenStack.

    c. Hybrid Cloud:

    • Hybrid cloud combines public and private cloud environments, allowing data and applications to be shared between them.
    • Organizations can leverage the scalability of public cloud for certain workloads while keeping sensitive data or mission-critical applications in a private cloud.
    • Hybrid cloud offers flexibility and the ability to optimize cost and performance based on specific requirements.

    d. Multi-Cloud:

    • Multi-cloud involves using multiple public cloud providers to avoid vendor lock-in and leverage best-of-breed services from different providers.
    • Organizations may distribute workloads across multiple clouds for redundancy, disaster recovery, or to take advantage of unique features offered by each provider.
    • Multi-cloud strategies require effective management and orchestration to ensure interoperability and consistent performance.
  2. Service Models:a. Infrastructure as a Service (IaaS):
    • IaaS provides virtualized computing resources over the internet, including servers, storage, and networking.
    • Customers can provision and manage these resources on-demand, paying only for what they use.
    • Examples include Amazon EC2, Microsoft Azure Virtual Machines, and Google Compute Engine.
    • Cloud Computing Diagram
    • image credit : gfg

    b. Platform as a Service (PaaS):

    • PaaS offers development and deployment platforms for building, testing, and deploying applications without the complexity of managing underlying infrastructure.
    • Developers can focus on writing code while the platform handles scalability, security, and other operational aspects.
    • Examples include Google App Engine, Microsoft Azure App Service, and Heroku.

    c. Software as a Service (SaaS):

    • SaaS delivers software applications over the internet on a subscription basis, eliminating the need for users to install, manage, and maintain software locally.
    • Applications are hosted and managed by the service provider, who handles updates, security, and infrastructure.
    • Examples include Salesforce, Office 365, and Dropbox.

 

Each type of cloud computing deployment and service model offers unique benefits and considerations, allowing organizations to choose the approach that best fits their requirements, budget, and strategic objectives.

Cloud Deployment ModelsĀ 

Cloud deployment models refer to different approaches for deploying cloud computing resources. The main cloud deployment models are:

  1. Public Cloud:
    • Public cloud services are provided by third-party cloud service providers over the internet.
    • Resources such as servers, storage, and applications are shared among multiple customers, offering scalability and cost-effectiveness.
    • Public cloud providers manage and maintain the infrastructure, allowing customers to access resources on-demand and pay only for what they use.
    • Examples of public cloud providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
  2. Private Cloud:
    • Private cloud infrastructure is dedicated to a single organization and is typically hosted either on-premises or by a third-party provider.
    • It offers greater control, security, and customization compared to public cloud, but may require higher upfront investment in hardware and software.
    • Private cloud environments can be tailored to specific requirements, such as regulatory compliance or data sovereignty concerns.
    • Examples of private cloud solutions include VMware Cloud Foundation, OpenStack, and Microsoft Azure Stack.
  3. Hybrid Cloud:
    • Hybrid cloud combines public and private cloud environments, allowing data and applications to be shared between them.
    • Organizations can leverage the scalability and cost-effectiveness of public cloud for certain workloads while keeping sensitive data or mission-critical applications in a private cloud.
    • Hybrid cloud offers flexibility and the ability to optimize cost and performance based on specific requirements.
    • Examples of hybrid cloud solutions include Azure Hybrid Cloud, AWS Outposts, and Google Anthos.
  4. Multi-Cloud:
    • Multi-cloud involves using multiple public cloud providers to avoid vendor lock-in and leverage best-of-breed services from different providers.
    • Organizations may distribute workloads across multiple clouds for redundancy, disaster recovery, or to take advantage of unique features offered by each provider.
    • Multi-cloud strategies require effective management and orchestration to ensure interoperability and consistent performance.
    • Examples of multi-cloud management platforms include IBM Multicloud Manager, VMware CloudHealth, and CloudCheckr.

Each cloud deployment model has its own benefits and considerations, and organizations often choose a combination of models to meet their specific needs, preferences, and business objectives.

What Is Cloud Hosting?

Cloud hosting refers to the hosting of websites, applications, or services on virtual servers that are provisioned, managed, and delivered over the internet through cloud computing infrastructure. In cloud hosting, resources such as computing power, storage, and networking are dynamically allocated from a pool of virtualized servers and resources, allowing for scalability, flexibility, and high availability.

Key features of cloud hosting include:

  1. Scalability: Cloud hosting allows resources to be scaled up or down dynamically based on demand. This means that as traffic to a website or application increases, additional resources can be quickly provisioned to handle the load, ensuring optimal performance and user experience.
  2. Flexibility: Cloud hosting offers flexibility in terms of resource allocation and configuration. Users can easily customize their virtual servers and environments to meet their specific requirements, such as choosing the amount of CPU, memory, and storage needed.
  3. High Availability: Cloud hosting typically utilizes redundant infrastructure and distributed architecture to ensure high availability and reliability. This means that even if one server or data center fails, the workload can be automatically shifted to other available servers or locations without causing downtime.
  4. Pay-as-You-Go Pricing: Cloud hosting often follows a pay-as-you-go pricing model, where users are billed based on their actual usage of resources. This eliminates the need for large upfront investments in hardware and allows for cost-effective scaling as the business grows.
  5. Managed Services: Many cloud hosting providers offer managed services such as automated backups, security monitoring, and performance optimization. This allows users to focus on their core business activities while leaving the management of the hosting environment to the provider.

Overall, cloud hosting offers a scalable, flexible, and cost-effective solution for hosting websites, applications, and services, making it an increasingly popular choice for businesses of all sizes.

Characteristics of Cloud Computing

Cloud computing exhibits several key characteristics that distinguish it from traditional IT infrastructure models. These characteristics include:

  1. On-Demand Self-Service: Users can provision computing resources, such as servers, storage, and applications, on-demand without requiring human intervention from the service provider. This allows for rapid scaling and flexibility.
  2. Broad Network Access: Cloud services are accessible over the internet from a variety of devices and locations, enabling users to access applications and data from anywhere with an internet connection.
  3. Resource Pooling: Cloud computing resources are pooled together and dynamically allocated to multiple users as needed. This pooling enables efficient resource utilization and scalability, with resources being shared among multiple users to meet fluctuating demands.
  4. Rapid Elasticity: Cloud computing resources can be rapidly scaled up or down to accommodate changing workloads and demands. This elasticity allows users to quickly adjust their resource allocation without manual intervention, ensuring optimal performance and cost-efficiency.
  5. Measured Service: Cloud computing resources are metered and monitored, allowing users to pay only for the resources they consume. This pay-as-you-go pricing model provides cost transparency and allows users to optimize their resource usage and spending.
  6. Resilience and Reliability: Cloud infrastructure is designed to be highly resilient and reliable, with built-in redundancy, failover mechanisms, and data replication to minimize downtime and ensure data availability.
  7. Scalability: Cloud services can scale horizontally or vertically to accommodate increasing or decreasing demands. Horizontal scaling involves adding more instances of resources, while vertical scaling involves increasing the capacity of existing resources.
  8. Service Models: Cloud computing offers different service models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), allowing users to choose the level of abstraction and management they require.

These characteristics make cloud computing a powerful and flexible computing paradigm, enabling organizations to innovate, scale, and adapt to changing business requirements more effectively than traditional IT models.

Top Reasons to switch from On-premise to Cloud Computing ?

There are several compelling reasons for organizations to consider switching from on-premise infrastructure to cloud computing:

  1. Scalability: Cloud computing allows organizations to quickly scale their computing resources up or down based on demand. This scalability ensures that businesses can handle fluctuations in workload without the need to invest in and manage additional hardware.
  2. Cost Savings: Cloud computing typically follows a pay-as-you-go pricing model, where organizations only pay for the resources they use. This eliminates the need for large upfront investments in hardware and infrastructure, reducing capital expenses and allowing for more predictable operating expenses.
  3. Flexibility and Agility: Cloud computing provides organizations with greater flexibility and agility to innovate and respond to changing business needs. With cloud services, businesses can rapidly deploy new applications, experiment with new technologies, and quickly adapt to market dynamics.
  4. Global Reach: Cloud computing providers operate data centers around the world, allowing organizations to deploy applications and services closer to their users. This global reach improves performance and reduces latency for users accessing applications from different geographic locations.
  5. Enhanced Security: Cloud computing providers invest heavily in security measures to protect data and infrastructure. They employ advanced security technologies, such as encryption, firewalls, and identity and access management, to safeguard against cyber threats and data breaches.
  6. Disaster Recovery and Business Continuity: Cloud computing offers built-in redundancy and failover mechanisms to ensure data availability and business continuity in the event of hardware failures, natural disasters, or other disruptions. Cloud-based backup and recovery services simplify and automate disaster recovery processes.
  7. Improved Collaboration: Cloud computing enables seamless collaboration and communication among distributed teams. Cloud-based productivity and collaboration tools allow employees to work together in real-time, regardless of their location, fostering collaboration and productivity.
  8. Up-to-Date Software: Cloud computing providers continuously update and maintain the software and infrastructure running in their data centers. This ensures that organizations have access to the latest features, security patches, and performance improvements without the need for manual intervention or software upgrades.

Overall, switching from on-premise to cloud computing offers organizations numerous benefits, including scalability, cost savings, flexibility, security, and improved collaboration, making it an attractive option for businesses looking to modernize their IT infrastructure and accelerate digital transformation efforts.

Top leading Cloud Computing companies?

Some of the top leading cloud computing companies in the industry include:

  1. Amazon Web Services (AWS): AWS is a subsidiary of Amazon.com and is one of the largest and most widely used cloud computing platforms in the world. It offers a comprehensive suite of cloud services, including computing power, storage, databases, machine learning, analytics, and more.
  2. Microsoft Azure: Microsoft Azure is a cloud computing platform offered by Microsoft, providing a wide range of services such as virtual machines, databases, AI, IoT, and developer tools. Azure is known for its strong integration with Microsoft products and services.
  3. Google Cloud Platform (GCP): GCP is Google’s cloud computing platform, offering a variety of services including compute, storage, databases, machine learning, and networking. Google’s expertise in data analytics and AI technologies sets GCP apart in the market.
  4. IBM Cloud: IBM Cloud provides a range of cloud computing services, including IaaS, PaaS, and SaaS solutions. IBM’s cloud offerings include AI, blockchain, IoT, and data analytics capabilities, making it a strong competitor in the enterprise cloud market.
  5. Alibaba Cloud: Alibaba Cloud, also known as Aliyun, is the cloud computing arm of Alibaba Group. It is one of the leading cloud providers in China and offers a wide range of cloud services globally, including computing, storage, networking, and big data analytics.
  6. Oracle Cloud: Oracle Cloud offers a comprehensive suite of cloud services, including IaaS, PaaS, and SaaS solutions. It specializes in database technologies, enterprise applications, and cloud infrastructure, catering to businesses of all sizes.
  7. Salesforce: Salesforce is a leading provider of cloud-based CRM (Customer Relationship Management) software. Its cloud platform, Salesforce Cloud, offers a range of services including sales, marketing, service, commerce, and analytics.
  8. VMware Cloud: VMware Cloud provides a hybrid cloud platform that enables organizations to seamlessly extend their on-premise data centers to the cloud. It offers solutions for virtualization, networking, security, and management across public, private, and hybrid clouds.

These companies are among the top players in the cloud computing industry, each offering a diverse range of services and solutions to meet the needs of businesses and organizations around the world.

Advantages of Cloud Computing?

Cloud computing offers numerous advantages for businesses and organizations, including:

  1. Scalability: Cloud computing allows organizations to quickly scale their computing resources up or down based on demand. This scalability ensures that businesses can handle fluctuations in workload without the need to invest in and manage additional hardware.
  2. Cost Savings: Cloud computing typically follows a pay-as-you-go pricing model, where organizations only pay for the resources they use. This eliminates the need for large upfront investments in hardware and infrastructure, reducing capital expenses and allowing for more predictable operating expenses.
  3. Flexibility and Agility: Cloud computing provides organizations with greater flexibility and agility to innovate and respond to changing business needs. With cloud services, businesses can rapidly deploy new applications, experiment with new technologies, and quickly adapt to market dynamics.
  4. Global Reach: Cloud computing providers operate data centers around the world, allowing organizations to deploy applications and services closer to their users. This global reach improves performance and reduces latency for users accessing applications from different geographic locations.
  5. Enhanced Security: Cloud computing providers invest heavily in security measures to protect data and infrastructure. They employ advanced security technologies, such as encryption, firewalls, and identity and access management, to safeguard against cyber threats and data breaches.
  6. Disaster Recovery and Business Continuity: Cloud computing offers built-in redundancy and failover mechanisms to ensure data availability and business continuity in the event of hardware failures, natural disasters, or other disruptions. Cloud-based backup and recovery services simplify and automate disaster recovery processes.
  7. Improved Collaboration: Cloud computing enables seamless collaboration and communication among distributed teams. Cloud-based productivity and collaboration tools allow employees to work together in real-time, regardless of their location, fostering collaboration and productivity.
  8. Up-to-Date Software: Cloud computing providers continuously update and maintain the software and infrastructure running in their data centers. This ensures that organizations have access to the latest features, security patches, and performance improvements without the need for manual intervention or software upgrades.

Overall, cloud computing offers organizations numerous benefits, including scalability, cost savings, flexibility, security, and improved collaboration, making it an attractive option for businesses looking to modernize their IT infrastructure and accelerate digital transformation efforts.

Disadvantages Of Cloud Computing?

While cloud computing offers numerous benefits, it also comes with some disadvantages and challenges, including:

  1. Security and Privacy Concerns: Storing data and applications in the cloud raises concerns about security and privacy. Organizations may worry about unauthorized access, data breaches, and compliance with regulations such as GDPR or HIPAA. Although cloud providers implement robust security measures, the shared nature of the cloud infrastructure introduces potential risks.
  2. Dependency on Internet Connectivity: Cloud computing relies heavily on internet connectivity. If there are issues with internet connectivity, such as outages or slowdowns, users may experience disruptions in accessing cloud services. This dependency can impact productivity and business operations, particularly for organizations with critical workloads.
  3. Limited Control and Customization: Organizations may have limited control and customization over their cloud environments, especially in public cloud deployments. Cloud providers manage the underlying infrastructure, and users must adhere to the provider’s policies and configurations. This lack of control can be a concern for businesses with specific requirements or regulatory compliance needs.
  4. Data Transfer and Bandwidth Costs: Moving large volumes of data to and from the cloud can incur significant data transfer and bandwidth costs. Organizations may face unexpected expenses, especially if they need to transfer data between cloud regions or providers. Additionally, bandwidth limitations can affect the performance of cloud-based applications, particularly for data-intensive workloads.
  5. Vendor Lock-In: Adopting specific cloud services or platforms may lead to vendor lock-in, making it challenging to switch providers or migrate to on-premise infrastructure. Organizations may become dependent on a single cloud provider’s proprietary technologies, APIs, and services, limiting their flexibility and bargaining power.
  6. Downtime and Service Outages: Cloud service providers strive to maintain high availability and reliability, but service outages can still occur due to hardware failures, software bugs, or cyberattacks. These outages can disrupt business operations and impact customer satisfaction. Organizations must have contingency plans and redundancy strategies to mitigate the impact of cloud service downtime.
  7. Compliance and Legal Issues: Compliance with regulatory requirements, data sovereignty laws, and industry standards can be challenging in a cloud computing environment. Organizations must ensure that their cloud deployments adhere to relevant regulations and contractual obligations, which may vary across jurisdictions and industries.
  8. Performance and Latency: Performance and latency issues can arise in cloud computing, particularly for latency-sensitive applications or workloads with high computational demands. Factors such as network congestion, resource contention, and geographic distance between users and data centers can affect application performance and user experience.

Despite these disadvantages, many organizations find that the benefits of cloud computing outweigh the challenges, and careful planning and management can help mitigate potential risks.

Cloud Computing ā€“ FAQs

Here are some frequently asked questions (FAQs) about cloud computing:

  1. What is cloud computing?
    • Cloud computing refers to the delivery of computing services, including servers, storage, databases, networking, software, and more, over the internet (the cloud). Instead of owning physical hardware and infrastructure, users can access technology resources on an as-needed basis from a cloud service provider.
  2. What are the different types of cloud computing?
    • There are several types of cloud computing deployment models and service models. Deployment models include public cloud, private cloud, hybrid cloud, and multi-cloud. Service models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
  3. What are the advantages of cloud computing?
    • Cloud computing offers numerous benefits, including scalability, cost savings, flexibility, security, disaster recovery, global reach, improved collaboration, and up-to-date software.
  4. What are the disadvantages of cloud computing?
    • While cloud computing offers many benefits, it also comes with some challenges, including security and privacy concerns, dependency on internet connectivity, limited control and customization, data transfer and bandwidth costs, vendor lock-in, downtime and service outages, compliance and legal issues, and performance and latency issues.
  5. How does cloud computing pricing work?
    • Cloud computing pricing models vary depending on the service model and provider. Common pricing models include pay-as-you-go, subscription-based, and usage-based pricing. Customers typically pay for the resources they consume, such as virtual machines, storage, and data transfer.
  6. How secure is cloud computing?
    • Cloud computing providers implement robust security measures to protect data and infrastructure. However, security is a shared responsibility between the provider and the customer. Organizations must implement security best practices, such as encryption, access controls, and regular security audits, to ensure data protection in the cloud.
  7. How can I migrate to the cloud?
    • Migrating to the cloud involves assessing your current infrastructure, selecting the appropriate cloud services and providers, planning the migration strategy, executing the migration, and optimizing and managing the cloud environment post-migration. It’s essential to consider factors such as data transfer, application compatibility, security, and compliance during the migration process.
  8. What are some popular cloud computing providers?
    • Some of the top cloud computing providers include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, Alibaba Cloud, Oracle Cloud, and VMware Cloud.

These FAQs provide an overview of cloud computing and address common questions that organizations may have when considering cloud adoption.

techbloggerworld.com

šŸ’» Tech l Career l startup l Developer| Job šŸ“Bangalore, KA šŸ“© work: n4narendrakr@gmail.com šŸŽ“ Ex-SDE intern at Airtel

Leave a Reply

Your email address will not be published. Required fields are marked *