Cloud Computing Course in Chandigarh.pptx
- 2. Introduction to cloud computing • Definition: On-demand delivery of IT resources (servers, storage, software, networks) over the internet. • Pay-as-you-go pricing: Pay only for what you use. • High scalability: Easily increase or decrease resources to match demand. • Global accessibility: Access your applications and data from anywhere with an internet connection. • Increased reliability: Cloud providers offer built-in redundancy and disaster recovery. • Enhanced collaboration: Teams can work together in real-time using cloud-based tools. Cloud computing is transforming how we think about IT. It shifts from owning hardware to a service-based model. Benefits include cost savings, flexibility, accessibility, and reliability - making it attractive for businesses of all sizes.
- 3. Understanding Cloud Deployment Models • A large cloud with the words "Public", "Private", "Hybrid", and "Community" clouds branching off Cloud deployment models provide different ways businesses and individuals can leverage cloud computing services. Each model offers specific levels of control, security, flexibility, and cost structures. In this presentation, we'll dive into the key cloud deployment models: Public, Private, Hybrid, and Community clouds.
- 4. Key Benefits of Cloud Computing • Cost Reduction: Reduced capital expenditure and operational costs. • Scalability: Quickly adjust resources up or down to match your needs. • Disaster recovery: Improved failover and recovery capabilities. • Global reach: Access resources and users anywhere in the world. • Security: Cloud providers often have robust security measures. Cloud offers significant benefits over traditional IT models. Cost reduction is a major draw, along with scalability for handling unpredictable workloads. It drives innovation and helps organizations focus on their core strengths. Plus, cloud often provides better security than many companies could implement on their own.
- 5. Public Cloud Owned by a third-party provider: Examples include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. Shared resources: Resources are used by multiple organizations. Least expensive option: Pay- as-you-go for usage only. Highly scalable: Easily handle massive workloads. Best for: Non-sensitive data, applications with fluctuating demand, and cost-conscious businesses.
- 6. Private Cloud Dedicated to a single organization: Provides higher control and customization. Located on-premises or with a third-party: Can be physically in your datacenter or hosted by a provider. More expensive but more secure: Costs more than public cloud, but offers higher security. Best for: Highly regulated industries, sensitive data, mission-critical applications. Private cloud provides exclusivity and control. Suitable where regulations or data sensitivity are major concerns. It requires more upfront investment and management than public cloud.
- 7. Hybrid Cloud • Combination of public and private clouds: Offers the best of both worlds. • Sensitive data stays on private cloud: Leverage public cloud for less sensitive data or burst capacity. • More complex to manage: Requires integration and management of both environments • Best for: Flexibility, achieving regulatory compliance, and optimizing costs Hybrid cloud offers flexibility – sensitive data stays in controlled environments, while you tap into public cloud cost- efficiency for other needs. Management is more complex with a hybrid approach.
- 8. Community Cloud • Shared resources among similar organizations: Often in the same industry (healthcare, finance). • Governed by community participants: Jointly set policies and standards. • Offers increased security and compliance: Compared to a public cloud, while still providing some cost savings. • Best for: Collaboration on shared projects, meeting specific industry regulations. Community cloud is a niche but useful model where organizations with shared interests collaborate. They can meet strict compliance standards while still leveraging cloud technology's cost advantages.
- 9. Cloud Service Models Infrastructure-as-a-Service (IaaS): Rent the building blocks: servers, storage, networking (e.g., AWS EC2) – most control, most responsibility. Platform-as-a-Service (PaaS): Provides a development environment for your applications (e.g., Google App Engine) – less management overhead. Software-as-a-Service (SaaS): Rent the entire house: just use ready-made applications (e.g., Salesforce) – easiest to use, least customizable.
- 10. IaaS (Infrastructure- as-a-Service) • Offers virtualized computing resources: Servers, storage, networking. • High level of control: Choose OS, applications, middleware. • Ideal for: Migrating existing applications, handling variable workloads, and when specific control is needed. • Requires more IT expertise: To configure and manage the infrastructure. IaaS is like renting virtualized hardware. Excellent for existing workloads or when you need granular control. More technical knowledge is needed from your IT teams compared to higher-level models.
- 11. PaaS (Platform-as-a- Service) • Focus on application development: Provides a platform with tools and services for developing apps • Less administrative overhead: You don't manage low-level infrastructure • Ideal for: Rapidly developing and scaling web applications. • May limit customization options: Based on the platform's constraints. PaaS takes care of the development environment for you. It's ideal if your focus is on building applications without worrying about managing servers. Keep in mind that you'll be bound by the capabilities of your chosen PaaS platform.
- 12. SaaS (Software-as-a- Service) • Cloud-based applications accessed via a web browser: Example: Gmail, Office 365 apps • No software installation required on your devices: Accessible from anywhere with internet. • Subscription-based pricing: Typically paid per user, per month. • Least technical expertise needed: The easiest way to utilize cloud capabilities. SaaS is the familiar application-delivery model of the cloud. Use software without installation or management worries. Customization of SaaS applications is often limited.
- 13. Factors Affecting Deployment Model Choice • Security and Compliance: Highly regulated data or industries may necessitate a private or community cloud model. • Level of Control: Private clouds offer the most customization and control over the environment • Workload Requirements: Variable workloads benefit from the scalability of public or hybrid clouds • Budget: Public cloud is generally the most cost-effective, but private may offer better long-term value depending on use cases. • Technical Expertise: Consider your team's capabilities to manage IaaS versus using the streamlined PaaS/SaaS models. The right deployment model depends on a combination of factors. Security needs often dictate the choice. How much control you require, workload patterns, your financial flexibility, and your technical team's skills all need to be considered when making this important decision.
- 14. Conclusion Cloud computing is changing the IT landscape: Providing scalable, cost- effective, and accessible IT resources. Selecting the right model is crucial: Balancing security, control, cost, and complexity needs. The future of cloud computing is bright: Enabling new business models and driving innovation. Organizations need to embrace the cloud: To remain competitive and agile in the digital era.
- 15. ForQueryContact:998874-1983 Cloud Computing course in Chandigarh