Introduction to cloud computing
- 1. INTRODUCTIONTOCLOUD COMPUTING “CLOUD IS ABOUT HOW YOU DO COMPUTING, NOT WHERE YOU DO COMPUTING”
- 2. WHY LEARN ABOUT CLOUD COMPUTING? WHAT IS CLOUD COMPUTING? HISTORY WHY SHOULD MOVE TO THE CLOUD? CHARACTERISTICS OF CLOUD COMPUTING CLOUD SERVICE MODELS TYPES OF CLOUD(CLOUD DEPLOYMENT MODELS) AGENDa CLIENT AND SERVER REGION ,ZONE ,AVAILABILITY ZONE DATACENTER VIRTUAL MACHINE VIRTUAL MACHINE VS CONTAINER PROS AND CONS OF CLOUD COMPUTING
- 3. Everybody is talking about it, it’s a buzzword…! Seen an acceleration in adoption of cloud computing and cloud services. It is mentioned as one of the top technology trends to watch next 4-5 years by report from Gartner WHY LEARNABOUT CLOUDCOMPUTING?
- 4. Cloud computing is the delivery of computing services over the internet, which is otherwise known as the cloud. These services include servers, storage, databases, networking, software, analytics, and intelligence. Cloud computing offers faster innovation, flexible resources, and economies of scale. WHATIS CLOUDCOMPUTING?
- 5. Cloud computing is the delivery of computing services over the internet by using a pay-as-you-go pricing model. Cloud service providers operate on a consumption-based model, which means that end users only pay for the resources that they use. You typically pay only for the cloud services you use, which helps you: Lower your operating costs. Run your infrastructure more efficiently. Scale as your business needs change. Cloud computing is a way to rent compute power and storage from someone else's datacenter. When you're done using them, you give them back. You're billed only for what you use. Why is cloud computingtypicallycheaper to use?
- 6. HISTORY 1960’s John McCarthy Introduce mainframe timeshareing 1969 ARPANET Developed by J.C.R Licklider 1991 WWW launched 1997 Cloud computing Is defined by prof. Ramnath Chellapa 1999 SALESFORCE Offering business apps over the internet-arrival of Saas 2006 AMAZON Create AWS and introduces elastic compute cloud(EC2) 2008 Google Release GCP and google app engine 2014 Docker container services for amazon elastic compute cloud(EC2) 2015 GOOGLE Introduce virtual machine-half the cost when it was introduced
- 7. HISTORY 2016 GOOFLE CLOUDE FUNCTIONS -provides computing, data storage, data analytics, and machine learning 2017 SEPTEMBER- GCP Offers pay- per-second billing in VM 2017 October- AWS Offers pay-per- second billing for linux VM’s 2019 CDN MARKET Estimate to be more than 10 billion euro 2020 GROWTH Global market for cloud computing estimated to exceed over 241 billion euro AWS and Salesforce global leaders
- 8. Why should move to the cloud? The cloud helps you move faster and innovate in ways that were once nearly impossible. To power your services and deliver innovative and novel user experiences more quickly, the cloud provides on-demand access to: A nearly limitless pool of raw compute, storage, and networking components. Speech recognition and other cognitive services that help make your application stand out from the crowd. Analytics services that deliver telemetry data from your software and devices.
- 9. CHARACTERISTICS OF CLOUD COMPUTING ON-DEMAND SELF SERVICE-It enables the client to constantly monitor the server uptime, abilities, and allotted network storage. A client can likewise control the computing abilities as per his needs. BROAD NETWORK ACCESS-The client can access the cloud data or transfer the data to the cloud from any place just with a device and internet connection. These capacities are accessible everywhere in the organization and get to with the help of the internet. RAPID ELASTICITY- cloud-based applications can be configured to take advantage of autoscaling, so your applications will always have the resources they need. RESOURCE POOLING- Resource pooling means that a cloud service provider can share resources among several clients, providing everyone with a different set of services as per their requirements. MEASURED SERVICES- It enables both the provider and the client to monitor and report what services have been used and for what purpose. This helps in monitoring billing and ensuring the optimum usage of resources.
- 10. Capital expenses versus operating expenses
- 12. IaaS ( INFRASTRUCTURE-AS-A SERVICE) IaaS is the most flexible category of cloud services. It aims to give you complete control over the hardware that runs your application. Instead of buying hardware, with IaaS, you rent it. This cloud service model is the closest to managing physical servers; a cloud provider will keep the hardware up-to- date, but operating system maintenance and network configuration is left to the cloud tenent. Advantages No CapEx. Users have no upfront costs. Agility. Applications can be made accessible quickly, and deprovisioned whenever needed. Management. the user manages and maintains the services they have provisioned, and the cloud provider manages and maintains the cloud infrastructure. Consumption-based model. Organizations pay only for what they use and operate under an OpEx model. Skills. No deep technical skills are required to deploy, use, and gain the benefits of a public cloud. Cloud benefits. Organizations can leverage the skills and expertise of the cloud provider to ensure workloads are made secure and highly available. Flexibility. IaaS is the most flexible cloud service as you have control to configure and manage the hardware running your application.
- 13. PaaS ( platform-as-a service) This cloud service model is a managed hosting environment, where the cloud provider manages the virtual machines and networking resources, and the cloud tenent deploys their applications into the managed hosting environment. Advantages No CapEx. Users have no upfront costs. Agility. PaaS is more agile than IaaS. Consumption-based model. Users pay only for what they use, and operate on an OpEx model. Skills. No deep technical skills are required to deploy, use, and gain the benefits of PaaS. Cloud benefits. Users can leverage the skills and expertise of the cloud provider to ensure their workloads are made secure and highly available. Productivity. Users can focus on application development only, as all platform management is handled by the cloud provider. Disadvantage Platform limitations. There can be some limitations to a cloud platform that might affect how an application runs. When you're evaluating which PaaS platform is best suited for a workload, be sure to consider any limitations in this area.
- 14. SaaS( SOFTWARE-AS-A-SERVICE) In this cloud service model, the cloud provider manages all aspects of the application environment - virtual machines, networking resources, data storage, applications, and so on - and the cloud tenent only needs to provide their data to the application managed by the cloud provider. For example – Microsoft office 365. Advantages No CapEx. Users have no upfront costs. Agility. Users can provide staff with access to the latest software quickly and easily. Pay-as-you-go pricing model. Users pay for the software they use on a subscription model, typically monthly or yearly, regardless of how much they use the software. Skills. No deep technical skills are required to deploy, use, and gain the benefits of PaaS. Flexibility. Users can access the same application data from anywhere. Disadvantage Software limitations. There can be some limitations to a software application that might affect how users work. Because you're using as-is software, you don't have direct control of features. When you're evaluating which SaaS platform is best suited for a workload, be sure to consider any business needs and software limitations
- 16. Serverless computing Serverless computing is a cloud computing code execution model in which the cloud provider fully manages starting and stopping virtual machines as necessary to serve requests, and requests are billed by an abstract measure of the resources required to satisfy the request, rather than per virtual machine, per hour. Despite the name, it does not actually involve running code without servers. Serverless computing is so named because the business or person that owns the system does not have to purchase, rent or provision servers or virtual machines for the back-end code to run on.
- 18. Public cloud Services are offered over the public internet and available to anyone who wants to purchase them. Cloud resources - such as servers and storage - are owned and operated by a third-party cloud service provider, and delivered over the internet.
- 19. Private cloud A private cloud consists of computing resources used exclusively by users from one business or organization. A private cloud can be physically located at your organization's on-site (on-premises) datacenter, or it can be hosted by a third-party service provider.
- 20. hybrid cloud A hybrid cloud is a computing environment that combines a public cloud and a private cloud by allowing data and applications to be shared between them. There are two main methods to connect public cloud and private cloud: VPN and Express Connect (point-to-point dedicated connection).
- 21. Community cloud Community cloud shares infrastructure between several organizations from a specific community with common concerns (security, compliance, jurisdiction, etc.), whether managed internally or by a third-party, and either hosted internally or externally
- 23. Client and server Client-Client are the device that the end user interact with cloud. Server-A computer or device on a network that manages network resources. Type of clients: Mobile Thin -A thin client is a network computer without a hard disk drive. Along with being easy to install, thin clients also offer a lower total cost of ownership over thick clients. Thick -a thick client (fat client) is one that will perform the bulk of the processing in client/server applications. One of the biggest advantages of thick clients rests in the nature of some operating systems and software being unable to run on thin clients. Thick clients can handle these as it has its resources.
- 24. REGION, ZONE, AVIALABILITY ZONE Cloud region” describes the actual, real-life geographic location where your public cloud resources are located. Amazon Web Services Region: Amazon defines its region as a geographic location, though it’s somewhat arbitrary. Local regions: A single data center, in close proximity to a region, but not part of that region. Availability zone: Multiple availability zones (AZs) per region are physically separated and connected with private low latency, high throughput, and redundant network connections.
- 25. REGION, ZONE, AVIALABILITY ZONE Google Cloud Platform Regions: Regions are built of zones, usually close to each other, within P95 RT latencies less than 1MS and generally less than 5MS. Zones: Zones should be considered independent failure domain within the region. Zones don't always map to a single data center. Google currently has 18 regions and 55 zones. All regions have three or more zones, and one zone is in development.
- 26. REGION, ZONE, AVIALABILITY ZONE Microsoft Azure Region: A region is a set of data centers connected within a latency perimeter. Microsoft has 42 regions. 12 more regions are planned, 5 current regions have availability zones, and two have AZs in preview. Geography: Azure defines a “geography” to contain multiple regions to help maintain data residency and compliance. Availability zones: These are one or more data centers built on independent infrastructure with a minimum of three AZs in regions that support it.
- 27. DATACENTERS a data center is a physical facility that organizations use to house their critical applications and data. It is a collection of servers where application is placed and is accessed via internet. Role of datacenter: • Data storage, management ,backup and recovery. • Productivity applications, such as email • High volume e-commerce transactions • Big data, machine learning and artificial intelligence
- 28. Virtual machine A Virtual Machine (VM) is a compute resource that uses software instead of a physical computer to run programs and deploy apps. Each virtual machine runs its own operating system and functions separately from the other VMs, even when they are all running on the same host. Pros • Less physical hardware • Central location to manage all assets • More eco-friendly • Disaster recovery is quick • System upgrades • Supports legacy operating systems • Use of thin client • Forward compatibility Cons • Upfront cost high • Complexity • Often the hardware is bundled together in one location • Hardware keys
- 29. containers • A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another. • A Container in cloud computing is an approach to operating system virtualization. By this, the user can work with a program and its dependencies using resource procedures that are isolated.
- 30. Containers vs virtual machine • .
- 31. Pros and cons of cloud computing Pros: High Availability - depending on the service-level agreement (SLA) that you choose, your cloud-based applications can provide a continuous user experience with no apparent downtime even when things go wrong. Scalability - applications in the cloud can be scaled two ways: Vertically - computing capacity can be increased by adding additional RAM or CPUs to a virtual machine Horizontally - computing capacity can be increased by adding instances of a resource, such as adding additional virtual machines to your configuration Elasticity - cloud-based applications can be configured to take advantage of autoscaling, so your applications will always have the resources they need Agility - cloud-based resources can be deployed and configured quickly as your application requirements change Geo-distribution - applications and data can be deployed to regional datacenters around the globe, thereby ensuring that your customers always have the best performance in their region Disaster Recovery - by taking advantage of cloud-based backup services, data replication, and geo-distribution, you can deploy your applications with the confidence that comes from knowing that your data is safe in the event that disaster should occur
- 32. Pros and cons of cloud computing
- 33. Thank you