Notes for BSc CSIT

 The difference between CAPEX AND OPEX are as follows:- Capital Expenditures, often known as CapEx, are the funds spent by your company on fixed assets. Whole systems and servers, printers and scanners, and air conditioners and generators are examples of IT equipment that belong under this category. You purchase these things once and they will benefit your firm for many years. Maintenance of such goods is also termed CapEx because it increases their usefulness and lifespan. These are large investments, generally a one-time buy, that are meant to help your company over a longer period. The procurement cost appears on your balance sheet and is subsequently depreciated over time. Small firms sometimes struggle with CapEx expenditure since it typically comprises the high cost of a one-time purchase. The more money spent on capital expenditures, the less free cash flow there is for the remainder of the firm. We also have Operating Expenses, abbreviated as OpEx, which are the cash that an or

  Cloud Computing Cloud Computing is defined as storing and accessing data and computing services over the internet. It doesn’t store any data on your personal computer. It is the on-demand availability of computer services like servers, data storage, networking, databases, etc. The main purpose of cloud computing is to give access to data centers to many users. Users can also access data from a remote server. Cloud computing is the on-demand delivery of computing power, database storage, applications, and other IT resources through a cloud services platform via the internet with pay-as-you-go pricing. aws.amazon.com Examples of Cloud Computing Services: AWS, Azure, Google Cloud MAJOR SERVICES MODELS OF CLOUD COMPUTING SAAS (SOFTWARE AS A SERVICE) SaaS allows clients to access software programs from anywhere using a browser. Software as a service (SaaS) is sometimes known as "on-demand software." Because service providers store programs and their related data at their locatio

Desktop development environments are becoming outdated, failing more often, and causing productivity issues for developers. 1. Complicated configuration management.  The substantial configuration management process for a developer's workspace turns developers into part-time system administrators, responsible for their mini-data center running entirely on the desktop. This is time-consuming, error-prone, and challenging to automate. Many developers have multiple computers and are forced to repeat these tasks on each machine. There is no way to synchronize the configurations of components across different machines, and each machine requires similar hardware and operating systems to operate the components identically. 2. Decreased productivity.  Many IDEs are memory and disk hogs, with significant boot times. They are so resource-hungry they can starve other applications, such as the Web browser. The net effect is a less productive developer due to a slower machine. 3. Limited accessi

 CLOUD COMPUTING ENVIRONMENT The cloud computing environment is a novel and effective method of delivering IT-related services. In reality, this method is the dream of many business owners who want to acquire all of their IT services in one location with minimal effort. This type of service is becoming increasingly popular in the information age since it assists entrepreneurs in swiftly and efficiently resolving all IT difficulties inside one organization. The cloud computing environment is all about IT and what IT requires: various types of software and hardware, pay-per-use, or subscription-based services delivered both via the Internet and in real-time. Performance management, backup, and recovery, configuration management, helpdesk, data center automation, etc. are popular services in the cloud environment. On-demand services are gaining traction among developers because of their flexibility. Cloud computing intends to power the next generation of data centers by allowing applicati

 Cloud analytics  Cloud analytics is a marketing term for businesses to carry out analysis using cloud computing. It uses a range of analytical tools and techniques to help companies extract information from massive data and present it in a way that is easily categorized and readily available via a web browser. Cloud analytics is a term for a set of technological and analytical tools and techniques specifically designed to help clients extract information from massive data. Cloud analytics is designed to make official statistical data readily categorized and available via the user's web browser. Cloud analytics is a service model in which data analytics and business intelligence (BI) processes take place on vendor-managed infrastructure rather than a company’s on-premise servers. Because the analytics vendor or third-party partner typically manages setup and maintenance, cloud data analytics makes it easy for you to empower all employees with deep data insights through scalability,

Cloud Ecosystem A cloud ecosystem is a complex structure of interconnected components that work together to provide cloud services. An ecosystem in nature is made up of living and nonliving elements that are linked and collaborate. The ecosystem in cloud computing includes hardware and software, as well as cloud customers, cloud engineers, consultants, integrators, and partners. A public cloud provider is at the heart of a cloud ecosystem. It might be an laaS firm like Amazon Web Services (AWS) or a SaaS company like Salesforce. Software firms that use the provider's core platform, as well as consultants and organizations that have developed strategic agreements with the provider, are at the heart of the cloud. There is no vendor lock-in since various firms overlap, thus complicating the ecosystem. AWS, for example, is the hub of its ecosystem, but it is also a component of the Salesforce ecosystem. Salesforce operates a number of its services on AWS's infrastructure, and Sales

Cloud Adoption Here Cloud Means The environment of the cloud where the cloud services are being operated.  Adoption term states that accepting the services of new technology. Adoption means following some kind of new trend or existing trend or technology.  This Cloud adoption is suitable for low-priority business applications. Because as we have already discussed that cloud computing is not beneficial for long-term projects. It supports some interactive applications that combine two or more data sources.   These applications must have low availability requirements and short life spans. For example:-if a marketing company requires to grow its business in the whole country in a short span of time then it must need a quick promotion or short promotion across the country.  Cloud Adoption is useful when recovery management and backup recovery-based implementations are required. By considering t e above key points we conclude that it is only suitable for applications that are modular and loo