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Cloud computing involves delivering hosted services like infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) over the internet. IaaS provides access to computer infrastructure and resources via the web. PaaS delivers a computing platform over the web, providing tools for developers. SaaS delivers applications over the internet rather than installing software locally. Major providers of these cloud services include Amazon, Google, and Salesforce.
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This document discusses how conversation has declined as a tool in DevOps due to increased digital communication and a desire for control. It argues that face-to-face conversation is important for DevOps work because it allows for spontaneity, unexpected ideas, trust-building and practice in communication. The document provides suggestions for incorporating more conversation, such as designing shared work spaces, limiting digital distraction during meetings, bringing dispersed teams together occasionally, and using chatbots to facilitate both communication and tasks.
DevOps: Process, Tool or Mindset?
This document discusses DevOps and explores whether it is a process, tool, or mindset. It describes the historical separation of development and operations teams and the problems this caused. DevOps aims to bridge this divide by promoting collaboration between teams. While tools can help, especially for large deployments, adopting a collaborative culture is most important. The document examines various aspects of DevOps including principles, processes, tools, challenges, success factors and benefits. It argues that having the right mindset is key and that infrastructure should now be treated as code.
Spiral model : System analysis and design
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Software engineering lecture notes
The document discusses different software engineering process models including:
1. The waterfall model which is a linear sequential model where each phase must be completed before moving to the next.
2. Prototyping models which allow requirements to be refined through building prototypes.
3. RAD (Rapid Application Development) which emphasizes short development cycles through reuse and code generation.
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5. The spiral model which has multiple iterations of planning, risk analysis, engineering and evaluation phases.
Methods of data collection
Data are numerical facts collected systematically for research purposes. Economists study phenomena and draw conclusions from collected data. There are two main sources of information: primary and secondary data. Primary data involves collecting original data directly from sources for a specific research purpose, such as through observation, interviews, questionnaires, or schedules. Secondary data refers to data that was originally collected by someone else for another purpose and has been published, such as government publications, journals, or reports.
SS Introduction to Docker
Docker provides a platform for building, shipping, and running distributed applications across environments using containers. It allows developers to quickly develop, deploy and scale applications. Docker DataCenter delivers Docker capabilities as a service and provides a unified control plane for both developers and IT operations to standardize, secure and manage containerized applications. It enables organizations to adopt modern practices like microservices, continuous integration/deployment and hybrid cloud through portable containers.
Cloud computing Basics
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It has three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). IaaS provides basic computing resources, PaaS provides platforms to build applications, and SaaS provides complete applications users can access. Popular cloud platforms include Amazon EC2 for IaaS and Google App Engine for PaaS. Cloud computing offers advantages like scalability, cost savings and device independence.
System Analysis and Design
discuss about System system analysis, system design, system analyst's role, Development of System through analysis, SDLC, Case Tools of SAD, Implementation, etc.
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The document discusses cloud computing, defining it as a collection of shared servers that provide resources, software, and data to clients over the internet. It describes the three main types of cloud computing: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides software through a subscription model, PaaS allows developers to build applications using cloud infrastructure, and IaaS provides on-demand access to virtualized computing resources like storage, servers, and networking. The main advantages are lower costs, scalability, and not having to manage your own hardware. The main disadvantage is security since data is accessible online.
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This document discusses different cloud computing service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Storage as a Service (STaaS).
It provides details on what each service model provides to customers and examples of major providers for each. Key differences between IaaS, PaaS and SaaS are outlined. Advantages and disadvantages of each service model are summarized. The document also discusses Backup as a Service (BaaS) and its benefits.
Cloud Service Models
The document discusses cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). IaaS provides basic computing resources, storage, and networking capabilities. PaaS provides development tools and environments for building applications. SaaS provides users access to applications via the internet without installation or maintenance of software.
Cloud Computing Introduction - 2018
Cloud computing is a style of computing in which scalable and elastic IT capabilities are delivered as a service using internet technologies. Key aspects include resources that are scalable and metered by use, and may be single-tenant or multi-tenant and hosted remotely or on-premises. Self-service interfaces like web UIs and APIs are exposed directly to customers. Cloud services can provide software, platforms, infrastructure, integration capabilities, and everything as a service (XaaS). The major cloud providers offer various capabilities and are competing on features, price, and services beyond basic compute and storage.
DIFFERENCE BETWEEN SaaS, PaaS & Iaas (Presentation).pdf
Client convenience for online enterprises depends on the cloud. This necessitates gathering, analysing, and storing a sizable quantity of data before delivering it to the end user. Web applications that are cloud-based can be used in this situation. The following three models come to mind while discussing cloud services: SaaS (software as a service) PaaS (Platform as a Service) IaaS (Infrastructure as a Service) To assist you gain a better understanding of how cloud-based services might help you expand your organisation, this article will thoroughly compare IaaS, PaaS, and SaaS. Lets find the difference between saas paas iaas
What is Cloud Computing?
The current alternative to using a hard disc to retrieve data and information is cloud computing. Compared to conventional storage solutions, the cloud server is quicker, safer, more cheap, and more effective.
Cloud computing is being used by everyone in a variety of industries. Since it allows developing and established firms to scale at any moment, it is especially a lifesaver for them.
With the cloud, you can access your data from almost anywhere without being reliant on technology. You always have access to your data because it is stored online.
Thanks to cloud computing, businesses can easily grow without having to invest in expensive gear. Instead, they can just pay for more space.
Types:
The differences between infrastructure as a service, platform as a service, and software as a service are briefly explained here.
IaaS (Infrastructure as a Service):
Gives the foundational elements for cloud infrastructure
Dispenses with computer tools
As-you-go billing
PaaS (Platform as a Service):
Internet-based tools are made available to users by an outside source.
On their own infrastructure, the third parties provide their tools and services.
SaaS (Software as a Service):
Gives online users access to a web application
A pay-per-use business model.
1.Infrastructure as a Service(IaaS)
Infrastructure as a Service supplies its users with computer resources including processing power, virtual machines, networking, and more, as well as the essential building blocks for cloud architecture.
IaaS assists small enterprises and other organisations looking for a low-cost cloud solution to support their operations. The pay-as-you-go concept ensures that a user only pays for the services they really utilise, eliminating any additional fees. Users have a choice of three deployment models: public, private, or hybrid.
Module 3-cloud computing
This document discusses different types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Database as a Service (DaaS), and Monitoring as a Service. It describes the key characteristics and advantages of each service type. Some potential issues and disadvantages are also outlined such as security concerns, vendor lock-in, and network dependence. Examples of major cloud service providers are provided for each service layer including Google, Amazon, Microsoft, and Salesforce.
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Cloud Computing
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C L O U D C O M P U T I N G
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3. It discusses the benefits of cloud computing such as reduced costs, increased storage, and flexibility compared to traditional computing methods.
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This document provides an overview of cloud computing including popular definitions, deployment models, delivery models, NoSQL databases, vendor lock-in, and security concerns. It defines cloud computing based on an on-demand, self-service model with scalable, measurable resources. The document outlines infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) delivery models and discusses public, private, hybrid, and community cloud deployment models.
Cloud computting a quick reference and guide
The document discusses different aspects of cloud computing including definitions, common cloud services, and the different types of cloud models. It defines cloud computing as consisting of various services that vendors provide to businesses and consumers over the internet. It describes the three main cloud service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also discusses private and hybrid cloud models.
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This document discusses cloud deployment plans. It begins with an introduction to cloud computing, defining it as scalable IT capabilities provided over the internet. It then discusses the benefits of cloud computing such as reduced costs and increased flexibility. The document outlines the history and origins of cloud computing. It describes the essential characteristics of cloud computing such as on-demand access, resource pooling, and elasticity. It defines the three main cloud service models of SaaS, PaaS, and IaaS and compares their characteristics. Finally, it discusses the different types of cloud implementation including public, private, community, and hybrid clouds.
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This document discusses cloud computing and its various models and architectures. It provides definitions of software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). It also describes the advantages of each model and discusses public cloud, private cloud, hybrid cloud, and cloud computing penetration compared to traditional in-house systems.
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Cloud computing presentation: A presentation that focuses on the marketing perspectives of cloud computing.
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This document discusses different types of cloud computing models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It defines each model and provides examples. It also discusses issues with traditional on-premise infrastructure, platform, and software management. Finally, it summarizes cloud computing as pooled computing resources delivered over the web in various service models.
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Cloud computing allows companies to access applications and store data remotely via the internet instead of locally. It provides scalable IT resources on demand that can be accessed from anywhere. Some key benefits include reduced costs, increased flexibility and collaboration capabilities. However, security and privacy concerns remain top issues that need to be addressed. Control testing and governance models are important to effectively mitigate risks when using cloud services. Case studies of companies like Salesforce.com and GSK demonstrate how cloud can drive innovation while reducing IT costs through the subscription-based model.
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The document discusses the Software Development Life Cycle (SDLC), including its objectives, common phases and models. The key models described are waterfall, prototyping, spiral, RAD and agile. Waterfall is the classical sequential model but is inflexible. Prototyping and spiral address changing requirements through iterative cycles. RAD focuses on rapid development through reuse, workshops and early user testing. Agile methods emphasize speed, reduced formal processes and adaptability. The conclusion recommends RAD for mashup projects due to its support for iterative requirements changes and modular development.
Process
The document discusses several processes used for business management and quality improvement including ISO 9001, CMMI, ITIL, COBIT, Six Sigma, and OHS. ISO 9001 aims to satisfy customers and industries worldwide through consensus-based standards. CMMI helps organizations improve performance through 5 levels of process maturity. ITIL provides a framework for managing IT services. COBIT sets best practices for IT governance. Six Sigma identifies and removes defects through a data-driven approach focused on customers. And OHS concerns protecting employee safety, health and welfare in the workplace.
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The document discusses various business analysis techniques including:
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2. Porter's five forces framework for industry analysis involving suppliers, customers, substitutes, new entrants, and competitive rivalry.
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Business analysis
This document discusses various business analysis techniques including industry overview, forecasting, Porter's five forces, SWOT analysis, value chain analysis, financial analysis, and business process improvement. It provides examples of how different industries can use mashups and discusses the goal of business analysis as reducing waste, creating solutions, completing projects on time, improving efficiency, and documenting requirements. The conclusion recommends SWOT analysis and financial analysis as useful techniques for analyzing mashups given their business purposes.
Sdlc
The document discusses the software development life cycle (SDLC), including its objectives, main phases, and models. The key phases are requirements analysis, design, coding, testing, and operation/maintenance. Common models include waterfall, prototyping, spiral, and rapid application development (RAD). Waterfall is classical but inflexible, while prototyping allows customer feedback. Spiral reduces risks through iterations. RAD emphasizes reuse and rapid iterations. The conclusion recommends the RAD model for mashup development due to its speed, customer involvement, and support for modularized, multi-platform work.
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The document discusses creating a blog and social media accounts. It describes creating accounts on Facebook and Delicious, with Delicious described as a bookmarking site to store referenced websites. The author created a sample blog for their rainbow team and met with Sakthi to discuss two potential project titles: content management system and mash up. They researched these terms online and found the blog creation process interesting as it allows custom designing pages and linking to other sites, making it useful for tracking technical work.
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The document discusses the tasks of creating an eportfolio which includes creating accounts on various social media and sharing platforms such as Twitter, YouTube, Slideshare, Flickr, Docstoc, Delicious, and Digg. On Twitter, the author followed experts in web technology and social media trends and joined a safety community. On YouTube and Slideshare, the author watched videos and presentations related to topics such as cloud computing. Flickr is used to upload photos, Docstoc to share documents, and Digg to find the latest news.
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IBM Mashup Center allows users to quickly create new applications by combining existing data and services. It provides tools for developing widgets and mashups that unlock information from various sources, such as enterprise systems, the web, personal data, and departmental information. This enables faster application development and business insights through information remixing.
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