Cloud Computing Models, Services, and Security.pptx
- 1. Cloud Computing: Models, Services, and Security Cloud computing has transformed how we access and use computing resources. This modern technology allows users to leverage storage, servers, databases, software, and networking over the internet instead of relying on local devices or physical servers. Throughout this presentation, we'll explore the fundamental concepts of cloud computing, including the SPI Framework, traditional software models compared to cloud services, and various deployment options that organizations can choose from based on their specific needs.
- 2. What is Cloud Computing? Remote Computing Resources Access to storage, servers, databases, software, and networking over the internet instead of local devices Cost-Efficient Model Pay-as-you-go basis that eliminates large upfront infrastructure investments Scalable Solutions Easily scale resources up or down based on demand without physical hardware limitations Global Accessibility Access from anywhere with an internet connection, enabling remote work and collaboration 1.1
- 3. The SPI(Serial Peripheral Interface) Framework Software as a Service (SaaS) Ready-to-use applications Platform as a Service (PaaS) Development environments Infrastructure as a Service (IaaS) Virtualized computing resources The SPI Framework defines the three core service models in cloud computing. Each layer provides different levels of control and management responsibility between the provider and the customer, creating a spectrum of service offerings to meet various needs. 1.2
- 4. Software as a Service (SaaS) Complete Applications Fully functional software delivered over the internet without installation or maintenance requirements Provider Management Service provider handles all hardware, software, and data management aspects Simple Access Users simply log in and use applications through web browsers or lightweight clients Popular Examples Gmail, Microsoft 365, Salesforce, Dropbox, and Google Workspace
- 5. Platform as a Service (PaaS) Development Environment Provides tools, libraries, and services for building, testing, and deploying applications Managed Infrastructure Developers focus on code while providers handle servers, storage, and networking Rapid Deployment Streamlines the development process from coding to production PaaS sits in the middle layer of the SPI framework, offering a balance between control and convenience. Examples include Google App Engine, Heroku, and Microsoft Azure App Services, which provide comprehensive development environments without infrastructure management burdens.
- 6. Infrastructure as a Service (IaaS) Virtual Machines Scalable computing power on demand Storage Flexible data storage solutions 2 Networking Virtual network infrastructure Security Configurable security controls IaaS forms the foundation of the SPI model, offering virtualized computing resources over the internet. Users maintain control over operating systems and applications while the provider manages the physical infrastructure. Popular examples include Amazon EC2, Microsoft Azure Virtual Machines, and Google Compute Engine.
- 7. The Traditional Software Model 1.3 🔹 Definition: The traditional software model involves delivering and using software that is installed and executed on a user's local computer or in-house servers. 🔹 Pros & Cons: ✅ Greater control over data and settings ❌ High costs and complex maintenance ❌ Limited accessibility (device-specific) ❌ Difficult to scale or update 🔹 Key Characteristics: - Manual installation of software - One-time purchase or licensed model - Users manage updates, patches, and compatibility - Requires physical infrastructure (servers, storage, networking) - Needs skilled IT staff for maintenance 🔹 Current Relevance: Still used in sectors with strict regulatory needs, but gradually being replaced by cloud-based solutions for their: - Affordability 💰 - Scalability 📈 - 🌐 Remote accessibility
- 8. The Cloud Services Delivery Model 1.4 🔹 Definition: Cloud services are computing services provided over the internet, categorized by levels of control and abstraction.
- 9. Traditional Software Model vs. Cloud Services Traditional Software Model • Software installed locally on devices • One-time license purchases • Manual updates and maintenance • High upfront infrastructure costs • Limited accessibility • Complex scaling process Cloud Services Model • Software accessed via internet • Subscription-based pricing • Automatic updates and maintenance • Reduced infrastructure investment • Access from anywhere • On-demand scalability While the traditional model offers greater control over data and settings, it involves higher costs and maintenance complexity. Cloud-based solutions are increasingly preferred for their affordability, scalability, and accessibility, though traditional models remain relevant in sectors with strict regulatory requirements.
- 10. Cloud Deployment Models Public Cloud Services delivered over the internet by third-party providers like AWS, Azure, or Google Cloud Cost-effective and easily scalable but offers less control over security Private Cloud Dedicated to a single organization, hosted on-premises or by a third party Greater control and security but more expensive to maintain Hybrid Cloud Combines public and private clouds, allowing data and applications to be shared Balances cost-efficiency with security requirements Community Cloud Shared by organizations with similar requirements Promotes collaboration and cost-sharing 1.5
- 11. Public Cloud Private Cloud Hybrid Cloud Community Cloud
- 12. Public vs. Private Cloud Aspect Public Cloud Private Cloud Ownership Third-party provider Single organization Cost Lower initial investment Higher setup and maintenance costs Security Standard security features Enhanced security controls Scalability Highly scalable on demand Limited by owned infrastructure Control Limited customization Full control over environment Best for General applications, testing Sensitive data, regulatory compliance
- 13. Choosing the Right Cloud Model Assess Your Requirements Evaluate your organization's specific needs regarding security, compliance, performance, and budget constraints Consider Workload Characteristics Determine which applications and data are suitable for public cloud and which require private cloud security Evaluate Service Models Choose between IaaS, PaaS, and SaaS based on how much control you need versus convenience Select Deployment Model Decide on public, private, hybrid, or community cloud based on your assessment The right cloud model depends on your organization's unique requirements. Many businesses find that a hybrid approach offers the best balance, keeping sensitive operations in a private cloud while leveraging the cost benefits of public cloud for less critical workloads.
- 14. Key Drivers of Cloud Adoption Cost Efficiency Pay-as-you-go model eliminates large capital investments in hardware and reduces operational costs related to maintenance and upgrades. Scalability Quickly scale resources up or down based on demand without physical infrastructure changes. Accessibility Access data and applications from anywhere with an internet connection, supporting remote work and global collaboration. Security Advanced security technologies and compliance certifications that may be difficult for individual organizations to achieve. 1.6
- 15. Scalability and Flexibility Benefits Identify Need Recognize increased demand for computing resources Adjust Resources Scale up or down through cloud dashboard Immediate Effect Changes implemented without hardware modifications Optimize Costs Pay only for resources actually used Cloud platforms enable organizations to rapidly adjust their computing resources based on changing business needs. This elasticity eliminates the constraints of physical infrastructure, allowing businesses to respond quickly to market demands while maintaining optimal resource utilization and cost efficiency.
- 16. Disaster Recovery and Business Continuity Automated Backups Cloud providers offer regular, automated data backups without manual intervention, ensuring critical information is preserved. Rapid Recovery In case of system failure or disaster, data can be quickly restored from cloud backups, minimizing downtime and business disruption. Geographic Redundancy Data is typically stored across multiple locations, protecting against regional disasters and ensuring business continuity under various scenarios. Cloud-based disaster recovery solutions provide organizations with resilient systems that can withstand various disruptions, from hardware failures to natural disasters, ensuring that critical business operations can continue with minimal interruption.
- 17. Innovation and Speed Advantages Access to Latest Technologies Cloud platforms provide immediate access to cutting-edge technologies and services without requiring organizations to invest in research or development. Rapid Development Developers can build and deploy applications faster using pre- configured environments and services, eliminating setup time and infrastructure concerns. Improved Time-to-Market Faster development cycles and deployment capabilities allow organizations to bring products and services to market more quickly, gaining competitive advantage. Cloud computing accelerates innovation by removing traditional barriers to experimentation and deployment. Organizations can quickly test new ideas, fail fast, and iterate rapidly without the constraints of physical infrastructure or lengthy procurement processes.
- 18. Environmental Sustainability Reduced Carbon Footprint Lower overall energy consumption Resource Optimization Shared infrastructure maximizes utilization Energy Efficiency Modern data centers with advanced cooling Cloud computing supports environmental sustainability by optimizing resource usage through shared infrastructure. Large cloud providers can implement energy-efficient technologies at scale, resulting in significantly lower energy consumption compared to traditional on-premises data centers. This consolidation of computing resources reduces the overall environmental impact of IT operations.
- 19. Impact on User Experience Device Independence Users can perform complex tasks even on low-end devices since processing occurs in the cloud. This democratizes access to advanced computing capabilities and reduces hardware costs. Applications and data can be accessed from any device with an internet connection, providing seamless transitions between work environments. Simplified Software Management With Software as a Service (SaaS), users no longer need to manually install or update applications. Updates are handled automatically by service providers, ensuring access to the latest features and security patches. This eliminates version compatibility issues and reduces IT maintenance burdens for both individuals and organizations. Enhanced Collaboration Cloud-based tools enable real-time document sharing and simultaneous editing by multiple users, dramatically improving team productivity and coordination regardless of physical location. 1.7
- 20. Governance in the Cloud Governance in the cloud refers to the set of policies, procedures, and controls that ensure effective and secure management of cloud resources and services. As organizations move to cloud environments, maintaining proper governance becomes essential to align cloud usage with business goals, manage risks, ensure compliance, and control costs. Security and compliance are central to cloud governance. Organizations must ensure that data is protected through encryption, access restrictions, and monitoring. Cloud governance also involves meeting industry-specific standards such as GDPR, HIPAA, or ISO certifications, depending on the nature of the business. One of the key aspects of cloud governance is policy management, which involves defining rules for how cloud resources should be used. This includes setting access controls, determining who can deploy or modify resources, and ensuring that usage complies with organizational and regulatory requirements. Without proper oversight, cloud spending can quickly spiral out of control. Effective governance includes implementing robust cost management practices that provide visibility into resource usage, enable accurate cost allocation, and identify opportunities for optimization. Organizations should establish clear budgets and implement automated alerts to prevent unexpected spending. Cost management is another important component. Without proper oversight, cloud spending can quickly spiral out of control. Governance helps monitor usage, avoid unnecessary resources, and enforce budget limits through tools and reporting mechanisms.
- 21. Resource Management and Performance Monitoring Resource Lifecycle Control Structured processes for creating, using, and retiring cloud assets prevent resource sprawl and ensure efficient infrastructure utilization. This includes automated provisioning, regular audits, and decommissioning of unused resources. Performance Monitoring Comprehensive monitoring tools track reliability, speed, and availability of cloud services. Real-time dashboards help detect issues early, enabling proactive resolution before users are impacted. Continuous Improvement Regular analysis of performance metrics identifies optimization opportunities and informs capacity planning. This data- driven approach ensures cloud resources consistently meet business requirements while maintaining cost efficiency.