Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

Start Date: 07/05/2020

Course Type: Common Course

Course Link: https://www.coursera.org/learn/cloud-applications-part1

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About Course

Welcome to the Cloud Computing Applications course, the first part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this first course we cover a multitude of technologies that comprise the modern concept of cloud computing. Cloud computing is an information technology revolution that has just started to impact many enterprise computing systems in major ways, and it will change the face of computing in the years to come. We start the first week by introducing some major concepts in cloud computing, the economics foundations of it and we introduce the concept of big data. We also cover the concept of software defined architectures, and how virtualization results in cloud infrastructure and how cloud service providers organize their offerings. In week two, we cover virtualization and containers with deeper focus, including lectures on Docker, JVM and Kubernates. We finish up week two by comparing the infrastructure as a service offering by the big three: Amazon, Google and Microsoft. Week three moves to higher level of cloud offering, including platform as a service, mobile backend as a service and even serverless architectures. We also talk about some of the cloud middleware technologies that are fundamental to cloud based applications such as RPC and REST, JSON and load balancing. Week three also covers metal as a service (MaaS), where physical machines are provisioned in a cloud environment. Week four introduces higher level cloud services with special focus on cloud storage services. We introduce Hive, HDFS and Ceph as pure Big Data Storage and file systems, and move on to cloud object storage systems, virtual hard drives and virtual archival storage options. As discussion on Dropbox cloud solution wraps up week 4 and the course.

Course Syllabus

Welcome to the first module of the course! In this module, we will introduce the concept of cloud computing and the economical foundations that make cloud computing make sense. We then introduce some fundamental concepts including software defined architectures and cloud services. We end the module by introducing you to the low level cloud computing service offered, infrastructure as a service.

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Course Introduction

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure This course covers the systems and architectures that support the design, development, and operation of modern cloud computing applications. The emphasis is on practicality over technical details. Part 1 covers the core technologies that support the design, development, and operation of modern cloud computing applications. The emphasis is on practicality over technical details. This is the first course in the specialization. Part 1 also covers the roles of VMware, Intel and AMD in the cloud computing industry. You will learn about the technical aspects of cloud computing, licensing and trademarks, and the purchase, use, and distribution of technology. Part 1 also covers the licenses and trademarks that are used and the purchase, use, and distribution of technology. This is the second course in the specialization. Part 1 also covers the licensing and trademarks that are used and the purchase, use, and distribution of technology. This is the third course in the specialization. You can follow us on Twitter! #chgoc © 2018 Google Earth LLC. All rights reserved. Reproduction of content and/or reproduction of source code is prohibited without express written permission of the copyright owner. The term "Course" and "LICENSE" is used in this context to mean the terms of this Special Interest Group Agreement and the terms of the Policy Document of the Google Earth Group. This course is part of the Google Cloud Platform Fundamentals, an initiative designed to provide a

Course Tag

Cloud Infrastructure Cloud Applications Cloud Storage Cloud Computing

Related Wiki Topic

Article Example
Cloud computing Advocates claim that cloud computing allows companies to avoid up-front infrastructure costs (e.g., purchasing servers). As well, it enables organizations to focus on their core businesses instead of spending time and money on computer infrastructure. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and enables Information technology (IT) teams to more rapidly adjust resources to meet fluctuating and unpredictable business demand. Cloud providers typically use a "pay as you go" model. This will lead to unexpectedly high charges if administrators do not adapt to the cloud pricing model.
Cloud computing IaaS-cloud providers supply these resources on-demand from their large pools of equipment installed in data centers. For wide-area connectivity, customers can use either the Internet or carrier clouds (dedicated virtual private networks). To deploy their applications, cloud users install operating-system images and their application software on the cloud infrastructure. In this model, the cloud user patches and maintains the operating systems and the application software. Cloud providers typically bill IaaS services on a utility computing basis: cost reflects the amount of resources allocated and consumed.
Cloud computing Cloud computing also leverages concepts from utility computing to provide metrics for the services used. Such metrics are at the core of the public cloud pay-per-use models. In addition, measured services are an essential part of the feedback loop in autonomic computing, allowing services to scale on-demand and to perform automatic failure recovery. Cloud computing is a kind of grid computing; it has evolved by addressing the QoS (quality of service) and reliability problems. Cloud computing provides the tools and technologies to build data/compute intensive parallel applications with much more affordable prices compared to traditional parallel computing techniques.
Cloud computing Users access cloud computing using networked client devices, such as desktop computers, laptops, tablets and smartphones and any Ethernet enabled device such as Home Automation Gadgets. Some of these devices—"cloud clients"—rely on cloud computing for all or a majority of their applications so as to be essentially useless without it. Examples are thin clients and the browser-based Chromebook. Many cloud applications do not require specific software on the client and instead use a web browser to interact with the cloud application. With Ajax and HTML5 these Web user interfaces can achieve a similar, or even better, look and feel to native applications. Some cloud applications, however, support specific client software dedicated to these applications (e.g., virtual desktop clients and most email clients). Some legacy applications (line of business applications that until now have been prevalent in thin client computing) are delivered via a screen-sharing technology.
Cloud computing security Cloud computing security or, more simply, cloud security refers to a broad set of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing. It is a sub-domain of computer security, network security, and, more broadly, information security.
Cloud computing Cloud engineering is the application of engineering disciplines to cloud computing. It brings a systematic approach to the high-level concerns of commercialization, standardization, and governance in conceiving, developing, operating and maintaining cloud computing systems. It is a multidisciplinary method encompassing contributions from diverse areas such as systems, software, web, performance, information, security, platform, risk, and quality engineering.
Cloud computing In cloud computing, the control of the back end infrastructure is limited to the cloud vendor only. Cloud providers often decide on the management policies, which moderates what the cloud users are able to do with their deployment. Cloud users are also limited to the control and management of their applications, data and services. This includes data caps, which are placed on cloud users by the cloud vendor allocating certain amount of bandwidth for each customer and are often shared among other cloud users.
Crypto cloud computing Cloud computing is a pool of services including the hardware and operating system infrastructure, the formation of systems management software, system and platform, and virtualization components. According to the level of its resources, cloud computing services can be divided into three categories, Infrastructure as a service (IaaS), Platform as a service (PaaS), and Software as a service (SaaS).
Visual Cloud Visual Cloud is the implementation of visual computing applications that rely on cloud computing architectures, cloud-based graphics processing, and ubiquitous broadband connectivity between connected devices, network edge devices and cloud data centers. It is a model for providing visual computing services to consumers and business users, while allowing service providers to realize the general benefits of cloud computing, such as low cost, elastic scalability, and high availability while providing optimized infrastructure for visual computing application requirements.
Cloud engineering Cloud engineering is the application of engineering disciplines to cloud computing. It brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. In practice, it leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions. It is about the process of designing the systems necessary to leverage the power and economics of cloud resources to solve business problems.
Crypto cloud computing Cloud computing is a combination of IaaS, PaaS, SaaS. To construct a secure cloud computing system, security at infrastructure, service platforms and application software levels have to be studied for a secure cloud computing system. Information encryption is one of effective means to achieve cloud computing information security. Traditionally, information encryption focuses on specified stages and operations, such as data encryption. For cloud computing, a system level design has to be implemented.
IEEE Cloud Computing IEEE Cloud Computing continues to pursue efforts to provide cloud computing standards, advancement of cloud computing technologies, and to educate users on the benefits of cloud computing. As part of this ongoing effort, it offers a variety of activities, products, and services, including the IEEE Cloud Computing portal, conferences and events, continuing education courses, publications, standards, and the IEEE Intercloud Testbed platform for testing cloud computing interoperability.
Cloud computing 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. The costs are spread over fewer users than a public cloud (but more than a private cloud), so only some of the cost savings potential of cloud computing are realized.
IEEE Cloud Computing As part of its mandate, IEEE Cloud Computing is in the process of developing global cloud computing standards. In April 2011, it began working on the first IEEE cloud computing standards, IEEE P2301 and IEEE P2302. Both IEEE P2301, "Draft Guide for Cloud Portability and Interoperability Profile", and IEEE P2302, "Draft Standard for Intercloud Interoperability and Federation" address cloud interoperability, portability, and fragmentation.
Cloud computing Another example of hybrid cloud is one where IT organizations use public cloud computing resources to meet temporary capacity needs that can not be met by the private cloud. This capability enables hybrid clouds to employ cloud bursting for scaling across clouds. Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. Cloud bursting enables data centers to create an in-house IT infrastructure that supports average workloads, and use cloud resources from public or private clouds, during spikes in processing demands. The specialized model of hybrid cloud, which is built atop heterogeneous hardware, is called "Cross-platform Hybrid Cloud". A cross-platform hybrid cloud is usually powered by different CPU architectures, for example, x86-64 and ARM, underneath. Users can transparently deploy and scale applications without knowledge of the cloud's hardware diversity. This kind of cloud emerges from the raise of ARM-based system-on-chip for server-class computing.
Cloud computing Cloud architecture, the systems architecture of the software systems involved in the delivery of cloud computing, typically involves multiple "cloud components" communicating with each other over a loose coupling mechanism such as a messaging queue. Elastic provision implies intelligence in the use of tight or loose coupling as applied to mechanisms such as these and others.
IBM cloud computing IBM cloud computing is a set of cloud computing services for business offered by the information technology company IBM. IBM cloud includes infrastructure as a service (IaaS), software as a service (SaaS) and platform as a service (PaaS) offered through public, private and hybrid cloud delivery models, in addition to the components that make up those clouds.
Cloud computing security Cloud computing and storage provides users with capabilities to store and process their data in third-party data centers. Organizations use the cloud in a variety of different service models (with acronyms such as SaaS, PaaS, and IaaS) and deployment models (private, public, hybrid, and community). Security concerns associated with cloud computing fall into two broad categories: security issues faced by cloud providers (organizations providing software-, platform-, or infrastructure-as-a-service via the cloud) and security issues faced by their customers (companies or organizations who host applications or store data on the cloud). The responsibility is shared, however. The provider must ensure that their infrastructure is secure and that their clients’ data and applications are protected, while the user must take measures to fortify their application and use strong passwords and authentication measures.
Cloud computing In the software as a service (SaaS) model, users gain access to application software and databases. Cloud providers manage the infrastructure and platforms that run the applications. SaaS is sometimes referred to as "on-demand software" and is usually priced on a pay-per-use basis or using a subscription fee. In the SaaS model, cloud providers install and operate application software in the cloud and cloud users access the software from cloud clients. Cloud users do not manage the cloud infrastructure and platform where the application runs. This eliminates the need to install and run the application on the cloud user's own computers, which simplifies maintenance and support. Cloud applications differ from other applications in their scalability—which can be achieved by cloning tasks onto multiple virtual machines at run-time to meet changing work demand. Load balancers distribute the work over the set of virtual machines. This process is transparent to the cloud user, who sees only a single access-point. To accommodate a large number of cloud users, cloud applications can be "multitenant", meaning that any machine may serve more than one cloud-user organization.
IEEE Cloud Computing As part of the initiative's launch, two new cloud computing standards development projects were approved: IEEE P2301, Draft Guide for Cloud Portability and Interoperability Profile, and IEEE P2302, Draft Standard for Intercloud Interoperability and Federation (SIIF). With a growing need for greater cloud computing interoperability and federation, IEEE Cloud Computing focused its development activities and resources behind IEEE P2302 standard.