Notes for BSc CSIT

 More Uses of Cloud Computing 1. Scalable Usage:  Through different subscription arrangements, cloud computing provides scalable resources. This means you will only be charged for the computer resources you utilize. This allows for the management of demand spikes without the need to invest in computer hardware on a long-term basis. Netflix, for example, takes advantage of cloud computing's capabilities. It experiences substantial spikes in server load during peak periods due to its on-demand streaming service. The shift to the cloud from on-premises data centers allowed the firm to dramatically grow its client base without having to engage in costly infrastructure setup and upkeep. 2. Chatbots:  We can save information about customer preferences thanks to the cloud's increased computational power and capacity. Users' behavior and preferences may be leveraged to give personalized solutions, messages, and goods. The cloud-based natural-language intelligent bots Siri, Alexa, a

 The architecture of the Aneka-based computing cloud  The Aneka-based computing cloud is a collection of physical and virtualized resources that are linked via a network, which can be the Internet or a private intranet. Each of these resources contains an instance of the Aneka Container, which represents the runtime environment in which the distributed apps operate. The container offers the fundamental management features of a single node and leverages all other activities on the services that it hosts. The services are divided into three categories: fabric, foundation, and execution. Fabric services provide hardware profiling and dynamic resource provisioning by interacting directly with the node via the Platform Abstraction Layer (PAL). The fundamental system of the Aneka middleware is identified by foundation services, which provide a collection of fundamental capabilities that allow Aneka containers to conduct specialized sets of jobs. Execution services deal directly with the sche

 Benefits of Hadoop Scalability: Unlike traditional systems, which have storage limitations, Hadoop is scalable since it functions in a distributed environment. This enabled data architects to create early Hadoop data lakes.  Resilience: The Hadoop Distributed File System (HDFS) is intrinsically robust. To prepare for the risk of hardware or software failures, data stored on each node of a Hadoop cluster is also duplicated on other nodes of the cluster. This design is purposely redundant to ensure failure tolerance. If one node fails, there is always a backup of the data in the cluster. Flexibility: Unlike typical relational database management systems, Hadoop allows you to store data in any format, including semi-structured or unstructured data. Hadoop allows organizations to readily access new data sources and access various sorts of data.  Challenges with Hadoop Architectures Complexity: Hadoop is a low-level, Java-based platform that might be too complicated to deal with for end u

 Apache Hadoop Apache Hadoop is a Java-based open-source software framework for scalable and distributed computing that manages data processing and storage in large data applications. Hadoop distributes big data sets and analytical jobs among nodes in a computing cluster, breaking them down into smaller tasks that may be handled concurrently. Hadoop can process both organized and unstructured data and scale up from a single server to thousands of computers in a reliable manner. The Apache Hadoop software library provides a platform for distributed processing of massive data volumes across computer clusters using simple programming techniques. It is intended to grow from a single server to thousands of computers, each of which provides local computing and storage. Rather than relying on hardware to provide high availability, the library is designed to identify and manage problems at the application layer, giving a highly available service on top of a cluster of machines, each of which m

 Azure for DR and Backup Azure is used by certain businesses for data backup and disaster recovery. Azure may also be used as a substitute for a company's own data center. Instead of investing in local servers and storage, many businesses choose to operate some or all of their business apps in Azure. Microsoft has Azure data centers placed all around the world to ensure availability. Microsoft Azure services are offered in 55 regions and 140 countries as of January 2020. Regrettably, not all services are accessible in every location. As a result, Azure customers must verify that their workloads and data storage locations adhere to any applicable compliance standards or other regulations. Privacy Privacy is a big worry for cloud customers due to data security issues and regulatory compliance obligations. To alleviate these concerns, Microsoft established the online Trust Center, which gives thorough information on the company's security, privacy, and compliance operations. Accor

 Azure Products and Services Microsoft categorizes Azure cloud services into more than two dozen groups, which include: 1. Compute: These services allow users to deploy and manage virtual machines, containers, and batch tasks, as well as enable remote application access. Depending on whether the resource needs to be available to the outside world, compute resources established in the Azure cloud can be configured with either public or private IP addresses. 2. Mobile: T hese solutions aid developers in the creation of cloud apps for mobile devices by offering notification services, back-end task support, tools for creating application program interfaces (APIs), and the ability to combine geographic context with data.  3. Web: These services aid in the creation and deployment of web applications. They also provide search, content delivery, API administration, alerting, and reporting tools.  4. Storage: T his service category offers scalable cloud storage for organized and unstructured d

 Microsoft Azure Platform (MAP) Microsoft Azure, originally known as Windows Azure, is a public cloud computing platform developed by Microsoft offering solutions such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) that can be used for analytics, virtual computing, storage, networking, and and much more. It offers a variety of cloud services such as computation, analytics, storage, and networking. Users can select among these services to create and grow new applications, as well as run existing apps on the public cloud. It may be used to augment or replace your on-premises servers. The Azure platform is designed to assist organizations in managing difficulties and meeting organizational goals. It provides tools for all industries, including e-commerce, banking, and several Fortune 500 organizations, and is compatible with open-source technology. This gives users the freedom to utilize their favorite tools and technology. Furthermore, A

 Google App Engine (Gae) Google App Engine (GAE) or just 'App Engine is a cloud computing platform as a service that allows you to create and run web applications in Google-managed data centers. Applications are sandboxed and run across multiple servers. App Engine provides automatic scaling for web applications, which means that when the number of requests for an application rises, App Engine automatically assigns more resources to the web application to accommodate the increased demand. Google App Engine is a Google Cloud Platform service that helps build highly scalable applications on a fully managed serverless platform. It generally supports apps written in Go, PHP, Java, Python, Node.js, .NET, and Ruby, but it can also support additional languages via "custom runtimes." The service is free up to a particular number of consumed resources, and it is only available in a regular environment, not a flexible environment. Fees are levied for additional storage, bandwidth,

Different categories of  Google Cloud Platform  Al and Machine Learning, API Management, Compute, Containers, Data Analytics, Databases, Developer Tools, Healthcare and Life Sciences, Hybrid and Multicloud, Internet of Things (IoT), Management Tools, Media and Gaming, Migration, Networking, Operations, Security and Identity, and Serverless Computing and Storage are the categories of Google Platform. Under these categories,GCP encompasses 100of products. Those products are listed here and some of the most important products are briefly described. AI and Machine Learning VERTEX AI Vertex AI Unified platform for training, hosting, and managing ML models.  Deep Learning VM Image Preconfigured VMs for deep learning applications. Notebooks An enterprise notebook service to get projects up and running in minutes. Deep Learning Containers Preconfigured and optimized containers for deep learning environments.  Vertex Data Labeling Managed annotation for high-quality model training data. TensorF

 Google Cloud Implementation The Google cloud application programming interface (API) for MS Office may be used to allow many users to edit a document at the same time. After installing a plugin for the Microsoft Office software suite, you may begin saving files to the cloud. The cloud copy of the data, which becomes the master document, may then be ed and edited by everyone. Each file is given a unique URL by the Google Cloud Platform. However, before downloading and altering the file in MS Office, the owner or creator of the document must designate one as an editor. If anyone makes changes to the document, the changes will be reflected in all of the documents that have been shared. When multiple people make changes to the same piece of content, Google Gud Platform allows the document owner or creator to choose which changes to keep. When a file is uploaded to Google Cloud, metadata is added to it. It aids in the identification of the file and the tracking of changes across all copies

 Compute services help developers build, deploy, and scale an application in the cloud platform.  1. AWS EC2: It is a web service that allows developers to rent virtual machines and automatically scales the compute capacity when required. AWS EC2 offers various instance types to developers so that they can choose required resources such as CPU, memory, storage, and networking capacity based on their application requirements. 2. Amazon Elastic BeanstalkHelps to scale and deploy web applications made with several programming languages like java, python, ruby, and .NET. EBS handles the deployment of the as soon as it is uploaded. 3. Amazon Lightsail: This enables a virtual private server (VPS) to be launched and managed with ease. It includes everything required by developers who want to start their projects quickly on a virtual machine. 4. AWS Lambda: It is a serverless computing service that is also responsible for executing code for applications. AWS Lambda helps you execute a program

 Amazon Web Services Amazon Web Services (AWS) is an Amazon company that offers on-demand cloud computing platforms and APIs to people, businesses, and governments on a pay-as-you-go basis. AWS is a comprehensive, ever-evolving cloud computing platform offered by Amazon that comprises infrastructure as a service (laaS), platform as a service (PaaS), and packaged software as a service (SaaS) products. AWS services may provide a company with tools like computation power, database storage, and content delivery services. These cloud computing web services offer a wide range of fundamental abstract technological infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2), which provides customers with a virtual cluster of computers that is always available through the Internet. AWS's version of virtual computers emulates most of the characteristics of a real computer, including hardware central processing units (CPUs) a

 Web Services and APIs Web services and APIs can be frequently mistaken for one another. Most online services include an API, which is used to get data using a set of commands and functions. Web services and APIs are accessed through HTTP/HTTPS to enable communication between service providers and customers and they both call a function, process data, and receive a response. API is a lightweight architecture that is suitable for devices with low bandwidth such as smartphones and as SOAP is required to send and receive network data, web services are not lightweight. APIs can use any form of communication, but a Web service only uses SOAP, REST, and XML-RPC. APIs support URL, request/response headers, caching, and versioning content formats however web services only support HTTP. One important thing to consider is that all web services may be APIs, but not all APIs can be web services. For instance, Twitter provides an API that allows developers to read tweets from a server and gather da

a)Google File System (GFS)   The Google File System is a scalable distributed file system designed for big data-intensive distributed Applications. It offers fault tolerance while running on low-cost commodity hardware and gives great distributed file systems, its design has been influenced by observations of application workloads and the aggregate performance of a large number of customers. While GFS has many of the same aims as past technical environments, both current and prospective, which represent a significant divergence from Certain preceding file system assumptions. As a result, established options have been reexamined, and Grammatically alternative design points have been explored. Google File System (GFS) is a scalable distributed file system (DFS) designed by Google Inc. to meet Google's growing data processing needs. GFS supports huge networks and linked nodes with fault tolerance, dependability, scalability, availability, and performance. GFS is comprised of storage s