software as a service
description: software licensing and delivery model in which software is licensed on a subscription basis and is centrally hosted
150 results
We Are as Gods: A Survival Guide for the Age of Abundance
by Peter H. Diamandis and Steven Kotler · 13 Apr 2026 · 225pp · 76,418 words
. We see the same disappearing act in the rise of “as a Service,” or aaS. The trend began in the early 2000s, when Salesforce launched Software as a Service. Soon after, Amazon and Microsoft turned cloud computing into Infrastructure as a Service. The 2010s added Platforms and Hardware as a Service, followed by AI
Beautiful security
by Andy Oram and John Viega · 15 Dec 2009 · 302pp · 82,233 words
press. For at least the past five years, the computer industry has also expressed a lot of excitement about web services, which can range from Software as a Service (SaaS) to various web-based APIs and service-oriented architecture (SOA, pronounced “so-ah”). Cloud computing is really nothing more than the abstraction of computing
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management, and most recently, security metrics. In 2007, with her husband, Joseph, she cofounded PlexLogic LLC, a firm that offers metrics on-demand using the Software as a Service delivery model. She is the CTO and VP of engineering. Prior to starting PlexLogic, Betsy cofounded two other software companies in the role of CTO
The Future of Technology
by Tom Standage · 31 Aug 2005
software firm and a builder of power plants 37 THE FUTURE OF TECHNOLOGY for computing utilities. And much of Microsoft’s .net effort is about software as a service. Yet it is ibm that is betting most on the prediction that the it industry will follow historic patterns of evolution. Big Blue expects profits
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them; what they should do is rent a seat on one.” In it, the equivalent of renting a seat on an aircraft is to rent software as a service from specialised firms called “application service providers”, or asps. These companies build huge datacentres so that other companies do not have to. The best-known
The Business Blockchain: Promise, Practice, and Application of the Next Internet Technology
by William Mougayar · 25 Apr 2016 · 161pp · 44,488 words
to run their own smart contracts, P2P apps, and other Dapps on open blockchains without seeking permission from IT departments, in the same way that Software-as-a-Service (SaaS) was a Trojan horse that enabled employees to sign up for services on their own without disturbing the company infrastructures (until it was time
This Is Service Design Doing: Applying Service Design Thinking in the Real World: A Practitioners' Handbook
by Marc Stickdorn, Markus Edgar Hormess, Adam Lawrence and Jakob Schneider · 12 Jan 2018 · 704pp · 182,312 words
get started, we decided to bootstrap Smaply and finance everything out of our own pockets. Developing our business model We planned Smaply as a classic Software-as-a-Service (SaaS) product. The interesting aspect about these business models is their scalability: you maintain relatively stable costs, no matter how many products you sell. One
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–299 rubber duck debugging 412 Ruello, Giovanni 347 Rules of Rehearsal 400–401, 403 Ryan, Chirryl-Lee 259–261 Rydqvist, Pia 484–486 S SaaS (Software-as-a-Service) 318 safe space about 399 avoiding judgement 404 avoiding killer words 404 breaking with routine 400 easing in 400–401, 403 failing first 404 giving
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(case study) 196–199 snowball sampling 103 SNV Netherlands Development Organisation (case study) 203–205 Soap Opera dramatic arc 49 software. digital artifacts and software Software-as-a-Service (SaaS) 318 software development 274, 280–288, 317–321, 412 solution space 115 Sotoca, Jesús 381–383 spaces. environments, spaces, and architecture; physical spaces; physical
Ask Your Developer: How to Harness the Power of Software Developers and Win in the 21st Century
by Jeff Lawson · 12 Jan 2021 · 282pp · 85,658 words
department—well, you had to send a request to IT and then get in line. This problem got solved when the second era of software—Software as a Service (SaaS)—began, about twenty years ago. The company that pioneered this model is Salesforce. Its founder and CEO, Marc Benioff, interned as an assembly language
Reversing: Secrets of Reverse Engineering
by Eldad Eilam · 15 Feb 2005 · 619pp · 210,746 words
the Problem Class Breaks Requirements The Theoretically Uncrackable Model Types of Protection Media-Based Protections Serial Numbers Challenge Response and Online Activations Hardware-Based Protections Software as a Service Advanced Protection Concepts Crypto-Processors Digital Rights Management DRM Models The Windows Media Rights Manager Secure Audio Path Watermarking Trusted Computing Attacking Copy Protection Technologies
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their effectiveness. The following sections introduce mediabased protections, serial-number-based protections, challenge response and online activations, hardware-based protections, and the concept of using software as a service as a means of defending against software piracy. Media-Based Protections Media-based software copy protections were the primary copy protection approach in the 1980s
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by piece. Remember that smart protection technologies never keep the entire program unencrypted in memory, so this might not be as easy as it sounds. Software as a Service As time moves on, more and more computers are permanently connected to the Internet, and the connections are getting faster and more reliable. This has
Behind the cloud: the untold story of how Salesforce.com went from idea to billion-dollar company--and revolutionized an industry
by Marc Benioff and Carlye Adler · 19 Nov 2009 · 307pp · 17,123 words
places to work. Its original application has become the number-one hosted CRM service, and the company has established itself as the leader in the Software-as-a-Service (SaaS) industry it pioneered. And, through relentless focus, creativity, and passion, salesforce.com inspired an enterprise cloud computing industry. In short, the new and unconventional
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CD-ROM software packages that took six to eighteen months for companies to install and required hefty investments in hardware and networking, we would sell Software-as-a-Service through a model known as cloud computing. Companies could pay per-user, 3 BEHIND THE CLOUD per-month fees for the services they used, and
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bill for a service that would run business applications whenever and wherever? This delivery model seems so obvious now. Today we call it on-demand, Software-as-a-Service (SaaS), multitenant (shared infrastructure), or cloud computing. In fact, Nicholas Carr, former executive editor of the Harvard Business Review and one of the most influential
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Than Business We started salesforce.com with a goal to create a different type of company. Our vision was to build a different technology model (Software-as-a-Service), a different sales model (subscription based), and a different philanthropic model (integrated into the for-profit corporation from the very beginning). Each of these ideas
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in proving the ‘‘software as service’’ model driven by an enthusiastic and wildly successful customer community, and energized by world-class employees. 2004–Dominate the software as a service market by doubling our enthusiastic and wildly successful global customer community through flawless execution of our proven model. 2006–Deliver trusted customer and partner success
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Risks: developing company persona, 27–28; taking, 18–20 Robinson, Phill, 58 Rosebud Sioux Tribe, 162 Rotating assignments, 248 Rudnitsky, David, 89–95 S SaaS (Software-as-a-Service): developing regulatory environment for, 221–222; inspiration for, 3–4, 135–139; on-demand model vs. hosted choice, 105–106; PaaS as extension of, 122
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, 119; public relations for, 23–25; revenue recognition position paper for, 214; selling directly to end users, 52–54; testing product usability, 13–14 SaaS (Software-as-a-Service). See also PaaS Saba, 7, 8, 9 Sabbaticals, 1–3 Index Sales: abandoning unsuccessful strategies, 96–97; building with word-of-mouth, 47–49; call
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, 36–37 Sill, Igor, 205 Simplicity, 106–107 Singh, Narinder, 109–110, 127, 131–132 Skoll Foundation, 161 So, Clarence, 62–63 SoftBank Commerce, 183 Software-as-a-Service. See SaaS Sohl, Jeffrey, 206–207 Southwest Airlines, 258 Speed, 106–107 Stakeholders’ success, 255–260 Stanford University, 157 Starbucks, 120, 129, 203 Start-up
The Practice of Cloud System Administration: DevOps and SRE Practices for Web Services, Volume 2
by Thomas A. Limoncelli, Strata R. Chalup and Christina J. Hogan · 27 Aug 2014 · 757pp · 193,541 words
Service Platform 3.1 Level of Service Abstraction 3.1.1 Infrastructure as a Service 3.1.2 Platform as a Service 3.1.3 Software as a Service 3.2 Type of Machine 3.2.1 Physical Machines 3.2.2 Virtual Machines 3.2.3 Containers 3.3 Level of Resource Sharing
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network hardware, real or virtual, ready for you to use. • Platform as a Service (PaaS): Your software running in a vendor-provided framework or stack. • Software as a Service (SaaS): An application provided as a web site. Figure 3.1 depicts the typical consumer of each service. SaaS applications are for end users and
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services such as Google’s Machine Learning service, which can be used to build a recommendation engine. Additional services are announced periodically. 3.1.3 Software as a Service SaaS is what we used to call a web site before the marketing department decided adding “as a service” made it more appealing. SaaS is
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physical or virtual machine for your OS and application installs. Platform as a Service (PaaS) provides the OS and application stack or framework for you. Software as a Service (SaaS) is a web-based application. You can create your own cloud with physical or virtual servers, hosting them yourself or using an IaaS provider
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themselves. Exercises 1. Compare IaaS, PaaS, and SaaS on the basis of cost, configurability, and control. 2. What are the caveats to consider in adopting Software as a Service? 3. List the key advantages of virtual machines. 4. Why might you choose physical over virtual machines? 5. Which factors might make you choose private
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feeds of build status, 205 Rubin, A. D., 79 Ruby language, 259–260 RUM (real user monitoring), 333 “Run run run dead” problem, 462 SaaS (Software as a Service), 51, 55–56 Safeguards, automation for, 253 Safety for automation, 249 Salesforce.com, 55–56 Sample launch readiness review survey, 157–158 Sandbox environments, 197
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, 293 SNMP (Simple Network Management Protocol), 351 SOA (service-oriented architecture), 90–91 best practices, 91–92 flexibility, 91 support, 91 Soft launches, 148, 382 Software as a Service (SaaS), 51, 55–56 Software Development Life Cycle (SDLC), 184–185 Software engineering tools and techniques in automation, 262–263 code reviews, 268–269 issue
The Art of Scalability: Scalable Web Architecture, Processes, and Organizations for the Modern Enterprise
by Martin L. Abbott and Michael T. Fisher · 1 Dec 2009
the hour for projects. Over time, the company started to bid on special custom development projects for both back office IT systems and Web enabled Software as a Service (SaaS) platforms. As the company matured, it started developing tools for its own internal usage and then started selling these tools as a service to
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Responsibilities The production operations team is responsible for running the hardware systems and software systems necessary to complete the mission of the company. In the Software as a Service and Web2.0 worlds, this is the team responsible for running and monitoring the systems that create the company’s revenue. In a classic information
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scale (10 engineers, or $1.2M per annum), we often recommend normalizing the value by the activities that create shareholder value. If you are a Software as a Service platform (SaaS) provider and make money on a per transaction basis, either through advertising or the charging of transaction fees, this might be accomplished by
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technology is a key differentiator, critical to the business, or in military lingo, a force multiplier, but the reality is that many of them, including Software as a Service (SaaS) companies, treat technology as a support service. There are two basic forms that a technology organization can take within a business. One is to
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Use Commodity Hardware Cost Figure 12.3 AKF Architecture Principles Design for Rollback This is a critical principle for Web services, Web 2.0, or Software as a Service (SaaS) companies. Whatever you build, ensure that it is backward compatible. Make sure that you can roll it back if you find yourself in a
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the best processes and great technology make mistakes and incorrectly analyze the results of certain tests or reviews. If your platform implements a service, either Software as a Service play or a traditional back office IT system, you need to be able to quickly roll back significant releases to keep scale related events from
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concept of creating swim lanes to both the newly developed customer relationship management (CRM) and the existing human resources management (HRM) system. Both are SaaS (Software as a Service) platforms. Johnny Fixer, CTO, and his team develop the CRM platform from scratch to allow for multitenancy at a company level, meaning that multiple companies
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all of our programs, and are there alternatives? The reason that most applications rely on state is that the languages used for Web based or Software as a Service (SaaS) development are almost all imperative based. Imperative programming is the use of statements to describe how to change the state of a program. Declarative
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through the application service providers (ASP) of the 1990s, which were the embodiment of the concept of outsourcing computer services. This later became known as Software as a Service (SaaS). The ASP model is an indirect descendant of the service bureaus of the 1960s and 1970s, which were an attempt at fulfilling the vision
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was becoming too complex and that it could collapse under its own weight if the management was not automated. Around this time, the concept of Software as a Service (SaaS) started to grow. SaaS is a software model whereby people pay for software based on usage and demand rather than upfront and recurring license
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. BusinessWeek article. Nov 13, 2006. http://www.businessweek.com/magazine/content/ 06_46/b4009001.htm. 427 428 C HAPTER 28 C LOUDS AND G RIDS • Software as a Service (SaaS). This was the original Blah as a Service term and started with software such as customer relationship management (CRM) software as some of the
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enough to be successful or not. Pay By Usage The idea of pay as you go or pay according to your usage is common of Software as a Service (SaaS) and has been adopted by the cloud computing services. Before cloud computing was available, in order to grow your application and have enough capacity
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by many different people and companies including one of the first public cloud services, EC2. We covered many of the “as a Service” offerings including Software as a Service and Infrastructure as a Service. In the history section, we discussed how the concept of grid computing had been around for almost two decades. Grid
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put forth by IBM in its Autonomic Computing Manifesto. • Developing alongside the idea of cloud computing was the concept of Software as a Service, Infrastructure as a Service, and many more “as a Service” concepts. • Software as a Service refers to almost any form of software that is offered in a pay as you use model. • Infrastructure as
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decision as to forgo a collocation facility in lieu of a cloud computing service should not be done without careful consideration. If you are a Software as a Service (SaaS) company or Web 2.0 business, the future of the entire company likely rests with your system remaining consistently available. Why is this decision
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of course to use grid computing in your production environment. This may not be possible for applications that require real-time user interactions such as Software as a Service companies. However, for IT organizations that have very mathematically complex applications in use for controlling manufacturing processes or shipping control, this might be a great
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you about problems or issues with your systems or products, especially if you are a hosted solution such as an application service provider (ASP) or Software as a Service (SaaS) provider. Customers expect that at best they are telling you something that you already know and that you are deep in the process of
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out of two data centers and move to a lower cost or higher quality provider for your third data center. If you are a SaaS (Software as a Service) company, you may find it easier to roll out or push updates to your site by moving traffic between data centers and upgrading sites one
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your most vocal customers, who are often your most advanced. Another major issue with this measurement is that a lot of Web 2.0 or Software as a Service (SaaS) companies do not have customer support centers. This leaves them with very little direct contact with customers; therefore, the delay in understanding if there
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gained through projects 6. State ideal usage percentage 7. Perform calculations For our example, let’s use our made-up company AllScale.com, which provides Software as a Service (SaaS) for human resources professionals. The site is becoming very popular and growing rapidly. The growth is seen in bursts; as new companies sign up
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tests and analysis. As necessary and possible, validate bug fixes and continue testing. Our fictitious company AllScale.com, which you may recall provides human resource Software as a Service, has a new release of its code in development. This code base, known internally as release 3.1, is expected out early next month. The
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dot com bubble, 427 IaaS (Infrastructure as a Service), 427–428 IBM, Autonomic Computing Manifesto, 427–428 PaaS (Platform-as-a-Service), 427–428 SaaS (Software as a Service), 427–428 XaaS (Everything as a Service), 427–428 Cloud computing, pros cost, 440–441 flexibility, 442 speed, 441–442 summary of, 442 Clouds backbones
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for, 278–279 requirements checklist, 280 technology considerations, 281 version numbers, 281 window requirements, 279–280 Rule of three, architectural principles, 200–201 S SaaS (Software as a Service), 427–428 Scalability art vs. science, 2–3 need for, 3–4 Scalability architects, roles and responsibilities, 33 Scalability projects, determining headroom, 187–188 Scale
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Slavery, abolition of, 80 Slivers, definition, 311 SMART (Specific, Measurable, Attainable, Realistic, Timely) criteria, postmortem review, 145 goals, 80–81, 83 guidelines, architectural principles, 198 Software as a Service (SaaS), 427–428 Software engineers, roles and responsibilities, 33–34 Specific architectural principles, 198 Speed cloud computing benefit, 441–442 tradeoffs in business, 287 Splitting
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