"Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user."
The principles and best practices for designing and building cloud-based solutions, including scalability, availability, and performance.
Fundamentals of Cloud Computing: This includes understanding the basics of Cloud Computing, Cloud service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid), and its advantages and disadvantages.
Cloud Infrastructure: This includes understanding the various components of Cloud infrastructure, such as virtual machines, storage, networking, and security.
Cloud Security: This includes understanding the Cloud security model, encryption, data protection, and access controls.
Cloud Cost Optimization: This includes understanding the cost management aspects of Cloud services, such as the different pricing models, billing, and optimization techniques.
Cloud Network Architectures: This includes understanding the various network architectures and protocols used in Cloud computing, such as Virtual Private Networks (VPNs), Software-Defined Networking (SDN), and network security.
Cloud Storage Architectures: This includes understanding the different storage architectures and technologies used in Cloud computing, such as object storage, block storage, and file storage.
Cloud Computing Platforms: This includes understanding the different Cloud computing platforms and services offered by Cloud service providers.
Cloud Application Design: This includes understanding the different design principles and patterns used in Cloud applications, such as microservices architecture, serverless architecture, and scalability.
Cloud DevOps: This includes understanding how DevOps practices are implemented in a Cloud environment, which includes continuous integration, continuous delivery, and deployment automation.
Cloud Monitoring and Management: This includes understanding how to monitor and manage Cloud resources, such as virtual machines, storage, and network infrastructure. It also includes understanding tools like auto-scaling, load balancing and monitoring.
Cloud Disaster Recovery and Business Continuity Planning: This includes understanding how to plan, implement and maintain disaster recovery and business continuity plans in the Cloud environment.
Cloud Compliance and Regulation: This includes understanding the regulatory requirements for Cloud services, such as GDPR, HIPAA, and Sarbanes-Oxley. It also includes understanding security certifications and compliance standards like ISO 27001, PCI DSS.
Cloud Data Analytics: This includes understanding how to process and analyze data in the Cloud environment using tools like Hadoop, Spark, and NoSQL databases.
Cloud Machine Learning: This includes understanding how to use machine learning algorithms in the Cloud environment, which includes using popular frameworks like TensorFlow, Scikit-learn, and Keras.
Cloud Performance Testing: This includes understanding how to test the performance of Cloud applications and infrastructure using tools like load testing and stress testing.
Public Cloud: A type of Cloud architecture in which the Cloud service, such as applications, storage, or infrastructure, is provided to the general public over the internet, making it accessible to anyone willing to pay for its use.
Private Cloud: A Cloud architecture in which the Cloud resources, such as storage, infrastructure, and applications, are dedicated to a particular user, organization or company. This type of Cloud offers the most security and flexibility.
Hybrid Cloud: This Cloud architecture combines the benefits of both private and public Clouds. Hybrid Cloud includes platforms that are hosted partly in private and partly in public Clouds, which can be used for different purposes.
Distributed Cloud: Distributed Cloud is a Cloud architecture that distributes Cloud computing resources over different locations, making it easier for customers to access resources from different locations, and improves network latency.
Multi-Cloud: A Cloud architecture that utilizes multiple Cloud services from different providers to provide the best services to users at an affordable cost.
Community Cloud: A Cloud architecture designed for a specific community or organization, where members share resources and workloads, such as storage, applications, and infrastructure.
Federated Cloud: A Cloud architecture that uses multiple Cloud services. This model is designed to work with multiple Clouds, each of which interacts to deliver a single service.
Edge Computing: This Cloud architecture moves data processing power closer to the devices generating data, reducing network latency and allowing for real-time decision-making.
Serverless Computing: A Cloud architecture that utilizes third-party servers to run applications, and the server provider maintains the infrastructure and ensures scalability.
Fog Computing: This architecture provides a decentralized infrastructure for the Internet of Things (IoT), which provides the computing capability at the edge of the network, rather than the centralized servers.
"Computer system resources, especially data storage (cloud storage) and computing power."
"Cloud computing relies on sharing of resources to achieve coherence."
"Large clouds often have functions distributed over multiple locations, each of which is a data center."
"Cloud computing typically uses a pay-as-you-go model, which can help in reducing capital expenses but may also lead to unexpected operating expenses for users."
"Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage)..."
"...without direct active management by the user."
"Cloud computing relies on sharing of resources to achieve coherence..."
"Cloud computing typically uses a pay-as-you-go model..."
"...which can help in reducing capital expenses..."
"Large clouds often have functions distributed over multiple locations..."
"Cloud computing is the on-demand availability of computer system resources..."
"Cloud computing typically uses a pay-as-you-go model, which can help in reducing capital expenses..."
"Cloud computing is... without direct active management by the user."
"Cloud computing is the on-demand availability of computer system resources, especially... computing power..."
"...but may also lead to unexpected operating expenses for users."
"Cloud computing relies on sharing of resources to achieve coherence..."
"Each [location] is a data center."
"Cloud computing typically uses a pay-as-you-go model..."
"...which can help in reducing capital expenses but may also lead to unexpected operating expenses for users."