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Today, we're starting with cloud computing. So, what do you think makes cloud computing different from traditional IT?
I think itβs because it uses remote servers instead of local ones?
And maybe the ability to access resources on demand?
Exactly! Cloud computing allows dynamic, remote access to IT resources. This means organizations can shift from a capital-intensive model to a more flexible, pay-as-you-go operational expenditure. Who can explain the impact of this shift?
It reduces financial risk since companies don't need to invest heavily upfront.
It also lets companies invest in other areas instead of just hardware.
Great points! This economic transformation is vital. Remember, we refer to it as the shift from CapEx to OpEx.
So, how does elasticity play into this?
It allows resources to be adjusted according to demand, right?
Yes! Elasticity means the cloud can scale resources both up and down quickly without wasting money on unused capacity. Letβs summarize: the shift from CapEx to OpEx reduces risk and promotes reinvestment. Understanding elasticity helps manage resource needs. Any questions?
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Moving on to the next topic: virtualization. Can someone explain what virtualization means?
Itβs creating a virtual version of physical resources, right?
Like virtual machines that run on physical servers?
Exactly! Virtualization allows multiple virtual machines to run on one physical machine, enhancing resource utilization. Why do you think this is important?
Because it reduces the number of physical servers needed, saving costs?
Yes! This leads to cost efficiency and improved agility. Can anyone recall specific virtualization types we discussed?
There are Type 1 and Type 2 hypervisors?
Absolutely! Type 1 runs directly on hardware while Type 2 runs on a host OS. Remember that Type 1 offers better performance and security. To summarize: virtualization enhances server utilization and reduces costs. Ready for the next topic?
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Now letβs dive into virtualization models. Who can briefly describe a hypervisor?
Itβs software that creates and runs virtual machines.
Right! Hypervisors manage access to physical resources. What benefits does this bring to cloud computing?
It allows for better resource allocation and improved disaster recovery.
Also, the strong isolation between VMs helps with security.
Correct! Strong isolation keeps workloads secure in multi-tenant environments. This underscores the essential nature of virtualization in maintaining performance and efficiency.
What about resource management, how does that relate?
Great question! Effective resource management helps to distribute workloads and prevent hotspots. Let's conclude that virtualization helps in optimizing performance, enhancing disaster recovery, and securing environments. Do any questions remain?
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The section covers the transformation brought by cloud computing in IT resource management, including the economic shift from CapEx to OpEx, scalability, agility, and resource optimization. It also explains virtualization's role in cloud computing, detailing types of virtualization, resource management, and innovative strategies to enhance performance and mitigate hotspots.
This foundational module delves into cloud computing and its historical background within distributed systems, emphasizing several essential characteristics such as:
The section also identifies five essential characteristics defined by NIST and discusses the evolution of modern cloud computing paradigms, such as serverless computing and edge computing.
Furthermore, it examines virtualization's pivotal role, enhancing resource utilization, operational efficiency, and agility in cloud environments through various virtualization types and management strategies, especially surrounding hotspot mitigation and live migration.
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Cloud computing fundamentally redefines the provisioning, consumption, and management of IT resources, transforming static, localized infrastructure into dynamic, globally accessible, and on-demand services delivered over the internet.
Cloud computing changes how IT resources like servers and storage are provided and consumed. Instead of being located in fixed places like traditional data centers, these resources are available over the internet and can be accessed anytime and from anywhere. This means that businesses can easily scale their IT needs without worrying about physical limitations.
Think of cloud computing like renting a car instead of buying one. When you rent a car, you can use it whenever you need and return it when you're done, without worrying about maintenance, parking, or ownership costs. Similarly, cloud computing allows access to IT resources as needed without the burdens of managing physical equipment.
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The pervasive adoption of cloud computing is driven by a powerful synergy of economic restructuring, operational agility, and advanced technical capabilities.
Cloud computing has gained popularity due to several key benefits. These include reducing upfront costs by changing how expenses are classified, providing resources on demand, and increasing efficiency and agility in operations. Essentially, organizations can now allocate resources as needed rather than overspending on excess infrastructure.
Consider cloud computing like a gym membership. By paying monthly, you can access all equipment and classes as needed without the hefty cost of buying all the equipment yourself. If your fitness goals change, you can adjust your gym use without financial penalties, much like how businesses can scale their cloud resources.
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Traditionally, organizations bore significant upfront capital costs for purchasing, housing, and maintaining physical servers, storage arrays, networking hardware, and the associated data center infrastructure. Cloud computing fundamentally shifts this financial model. Users no longer invest in fixed assets but instead pay for computing resources as a metered service, akin to electricity or water utilities.
This transformation signifies a shift from spending large amounts of money in advance on IT resources (CapEx) to only paying for the resources used over time (OpEx). This shift helps companies manage their finances better and invest in other areas of their operations, as they can scale up or down based on current needs.
It's similar to how you might pay for a meal at a restaurant rather than buying all the groceries and cooking at home. You only pay for what you consume, allowing for more flexible budgeting and expenditure.
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A defining characteristic of cloud computing is its inherent elasticity β the ability to rapidly and automatically provision or de-provision computing resources in direct response to fluctuating demand.
Elasticity in cloud computing means businesses can quickly adjust their IT resources based on demand. For example, if a business anticipates high traffic during a special event, it can rapidly add more virtual servers. Once the demand decreases, these additional resources can be scaled back to save costs.
Think of this like a party. If you expect a lot of guests, you may rent extra chairs and tables. Once the event is over, you can return the extras to save space and costs. With cloud computing, you can quickly scale resources up and down like renting those extra tables.
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The self-service interfaces and extensive automation within cloud platforms enable developers and IT operations teams to quickly acquire, configure, and deploy the precise infrastructure and software environments required for new applications, services, or development projects.
Cloud computing allows teams to rapidly set up and deploy applications, reducing the time taken to launch new services. This quick turnaround helps companies innovate faster and fulfills market demands more efficiently.
Imagine a chef getting ingredients from a walk-in pantry instead of a grocery store that takes an hour to reach. With the pantry, the chef can quickly whip up dishes based on whatβs needed for that day, similar to how companies can deploy services quickly in the cloud.
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Cloud providers assume responsibility for the arduous tasks of managing the underlying physical infrastructure, allowing internal IT staff to focus their efforts on strategic, value-adding activities directly aligned with the organization's core business objectives.
By offloading maintenance and management of the physical hardware to cloud providers, organizations can direct their IT resources toward activities that add value to the business, such as developing new products or improving customer service.
This is like hiring a cleaning service for your home. Instead of spending your weekends cleaning, you can focus on hobbies and spending time with family, allowing for more productivity in areas that matter most to you.
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Major cloud providers operate vast global networks of geographically distributed data centers, allowing users to deploy applications and data closer to their end-users worldwide.
Cloud services enable organizations to place their applications and data in data centers that are physically closer to their customers, improving performance and ensuring compliance with regional laws regarding data storage.
Think of it as setting up a business presence in multiple cities. If customers can access your services nearby, they'll have a better experience and are likely to be more satisfied, similar to how cloud data centers enhance user satisfaction through reduced latency.
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Cloud infrastructures are engineered with multiple layers of redundancy, built-in fault tolerance mechanisms, and automated failover capabilities at every level.
This means that cloud systems are designed to minimize chances of failure. Multiple backups and systems mean that if one part fails, another can take over, ensuring that services remain available.
It's like a safety net in a circus actβif one performer stumbles, the net catches them, preventing a fall. Cloud systems have these safety measures to keep everything running smoothly.
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The widely accepted definition from the National Institute of Standards and Technology (NIST) outlines five essential characteristics that distinguish cloud computing: On-demand Self-service, Broad Network Access, Resource Pooling, Rapid Elasticity, and Measured Service.
These characteristics define how cloud services operate. Users can manage resources on their own, access them from anywhere, share resources among many users, quickly scale up or down based on needs, and pay only for the services they use.
This can be compared to using an online streaming service. You can start or stop watching shows whenever you like, access them from any device, and only pay for what you actually watch.
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Today's cloud environments are the result of continuous innovation across several domains: Massive Scale and Resource Abstraction, Realization of Utility Computing, Native Support for Data-Intensive Computing, and Emerging Cloud Paradigms.
Cloud computing has evolved significantly, allowing for extensive resource management, billing according to usage, and handling large data tasks effectively. New service models are emerging, such as Serverless Computing and Edge Computing, offering more efficient ways to access resources.
This evolution can be seen like upgrading from a simple phone to a smartphone. Initially, phones could only make calls and send texts, but now they support various apps and functionalities that enhance usability, just as cloud services have become more versatile and powerful.
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While cloud computing is inherently a form of distributed computing, it possesses distinct characteristics that set it apart from general distributed systems.
Cloud computing is a specialized version of distributed computing. It provides a commercial service model, automates resource management, supports rapid elasticity, and employs multi-tenancy where resources can be shared among various users securely.
Think of it like a shared office space vs. a series of connected offices. Both have shared resources, but an office space designed for collaboration offers streamlined services and flexibility that general office connections do not.
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Key Concepts
Cloud Computing: On-demand, remote access to computing resources.
Virtualization: Enables resource efficiency by simulating hardware to run multiple operating environments.
Elasticity: Allows cloud resources to scale according to usage, enhancing performance and cost-savings.
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Example of cloud computing: A software company deploying applications through AWS or Azure, paying only for the resources consumed.
Example of virtualization: A single physical server running multiple VMs for different applications, enhancing resource utilization.
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Clouds up high, servers in the sky, access on demand, oh me, oh my!
Imagine a library (cloud) where instead of books, there are computers (resources) you only borrow as you need. No need for your own shelf!
E.R.A. - Elasticity, Resource Optimization, Agility in cloud computing.
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Review the Definitions for terms.
Term: Cloud Computing
Definition:
A model for delivering computing resources over the internet, providing on-demand access to shared resources.
Term: Virtualization
Definition:
A technology that simulates physical hardware in a virtual environment to improve resource utilization and flexibility.
Term: Hypervisor
Definition:
Software that creates and runs virtual machines by managing their access to physical hardware.
Term: Ondemand SelfService
Definition:
A characteristic of cloud computing that allows consumers to provision computing capabilities without human interaction.
Term: Elasticity
Definition:
The ability of cloud services to automatically adjust resources based on demand.