platform as a service Concepts

Architecting For Scale

by Lee Atchison · 25 Jul 2016 · 255pp · 55,018 words

that involves executing applications without knowledge of which server they are running on. They involve taking an application’s software and deploying it to a Platform-as-a-Service (PaaS) infrastructure that will execute the stack in a managed way. This is done without exposing the specifics of the server on which software is

The Decline and Fall of IBM: End of an American Icon?

by Robert X. Cringely · 1 Jun 2014 · 232pp · 71,024 words

really make?" IBM needs to provide value-added services to its Cloud platform to increase both revenue and profit. There isn’t enough money in Platform as a Service (PaaS) for IBM to get a good return on its $1.2 billion investment. IBM needs to provide Software as a Service (SaaS), and to

PostgreSQL: Up and Running, 3rd Edition

by Unknown

your own server, you’re free to choose what you wish to have installed. PostgreSQL bodes well with the popularity of cloud computing such as Platform as a service (PaaS) and Database As a Service (DbaaS). Most of the major PaaS and DbaaS providers offer PostgreSQL, notably Heroku, Engine Yard, Red Hat OpenShift, and

The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences

by Rob Kitchin · 25 Aug 2014

clouds provide IT capabilities as locationindependent, on-demand services accessible via the Internet, including ‘infrastructure as a service’ (IaaS) such as storage, servers and networks, ‘platform as a service’ (PaaS) comprising an execution environment for the development of custom applications and databases, and ‘software as a service’ (SaaS) that enables users to access their

The Docker Book

by James Turnbull · 13 Jul 2014 · 265pp · 60,880 words

that automates the deployment of applications into containers. It was written by the team at Docker, Inc (formerly dotCloud Inc, an early player in the Platform-as-a-Service (PAAS) market), and released by them under the Apache 2.0 license. Note Disclaimer and disclosure: I am an advisor at Docker. So what is

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like Jenkins CI. Building and testing complex applications and architectures on a local host prior to deployment into a production environment. Building a multi-user Platform-as-a-Service (PAAS) infrastructure. Providing lightweight stand-alone sandbox environments for developing, testing, and teaching technologies, such as the Unix shell or a programming language. Software as

Demystifying Smart Cities

by Anders Lisdorf

make capital investments in equipment before starting. Another important point of the NIST definition is the division into three types: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).Software as a Service – Is the ability of the consumer to access system features through a standard interface

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. Well-known consumer-level examples are Gmail, Office 365, Salesforce, and Slack. An example of a SaaS storage technology is Google Docs or SharePoint Online. Platform as a Service – Is the capability to deploy to the cloud applications that are developed by the consumer. The consumer has no control of the underlying networks, operating

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(NFC) Network topologies Neural networks Nongovernmental organizations NYC Mesh NYCWiN network O ODBC Operational data store (ODS) OSI model P, Q Personally identifiable information (PII) Platform as a Service (PaaS) PlowNYC service Point-to-point topology Private research Publish-Subscribe pattern R Raspberry Pi Recycling Reinforcement learning algorithm Relational database management system (RDBMS) S

Team Topologies: Organizing Business and Technology Teams for Fast Flow

by Matthew Skelton and Manuel Pais · 16 Sep 2019

of that API: other teams. In Dynamic Reteaming (by Heidi Helfand), Evan Wiley, Director of Program Management at Pivotal Cloud Foundry (PCF), a major enterprise Platform-as-a-Service (PaaS) provider, describes how more than fifty teams are seen at PCF: We really try to maintain as much contract based, API-based separation of

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close collaboration between teams at speed work well. As the size of the organization or software scale increases, focusing on providing the underlying infrastructure or platform as a service brings important benefits in terms of user-facing service reliability and the ability to meet customer expectations. If the organization has a high level of

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-as-a-Service interaction with many other teams simultaneously, whether consuming or providing a service. Typical Uses: Stream-aligned teams and complicated-subsystem teams consuming Platform-as-a-Service from a platform team; stream-aligned teams and complicated-subsystem teams consuming a component or library as a service from a complicated-subsystem team. Facilitating

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-Build and Platform-Build Teams Merged Back into Dev and Ops at TransUnion The SB and PB teams merged back into Dev and Ops, providing Platform-as-a-Service. Our early realization that this should be an evolution of teams was really important for our success. People knew that things would take some time

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technology approaches and learn new techniques rapidly. The stream-aligned team is supported by a enabling team. The other three stream-aligned teams treat the platform as a service and are also supported by the enabling team. These different interactions are present to reflect the nature of the work being undertaken by the stream

Humans as a Service: The Promise and Perils of Work in the Gig Economy

by Jeremias Prassl · 7 May 2018 · 491pp · 77,650 words

for everyone: a sustainable business model in which we all get to enjoy the benefits of plat- form innovation—without reducing humans to a service. * * * Platforms as a Service 7 It is crucial to note that nothing in this analysis suggests that we should shut platforms down. The gig economy has great potential: improved

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is great—but we need to make sure it lives up to its full potential, for everyone. Humans must never become a service; platforms should. Platforms as a Service To this end, the book is loosely structured into three parts. We will, first, explore the reality of life and work in the gig economy

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of carefully constructed contractual agreements, which ban some gig workers from taking platforms to court. Instead of enjoying the spoils of successful entrepreneurship, a significant * * * Platforms as a Service 9 proportion of on-demand workers find themselves trapped in precarious, low-paid work. The innovation narrative is similarly multifaceted, as we discover in Chapter

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myths 34–5 overview 2–3 Fox, Justin 182 perils 6, 26–8, 31 fragmented labour markets 83, 84, 86, platform paradox 5 90, 113 platforms as a service 7–8 France 78 consumer protection 10 employment litigation 99 potential 6, 7, 12, 24–6, 31 Labour Code 114, 176, 179 regulation 9–10

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Morris, David Z. 171 platform paradox 5 Morris, Gillian 174 platform responsibility 122–3, 128 MTurk 2, 3, 4, 11, 12, 24–5, 76, 139, platforms as a service 7–8 161–2, 163 consumer protection 10 algorithmic control mechanisms 56 regulation 9–10 (see also regulation) business model 100, 101, 103, 104 Plouffe

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Contents Introduction Welcome to the Gig Economy Humans as a Service Rebranding Work The Platform Paradox Labour as a Technology Making the Gig Economy Work Platforms as a Service Exploring the Gig Economy Charting Solutions A Broader Perspective 1. Work on Demand Understanding the Gig Economy Digital Work Intermediation How Big Is the Gig

The Open Organization: Igniting Passion and Performance

by Jim Whitehurst · 1 Jun 2015 · 247pp · 63,208 words

best places to work. Red Hat’s product portfolio has expanded through several strategic acquisitions since Whitehurst joined the company, including Qumranet, Inc. (virtualization), Makara (Platform-as-a-Service [PaaS]), Gluster (storage), FuseSource (middleware), Polymita (middleware), ManageIQ (cloud management), Inktank (storage), eNovance (OpenStack), and FeedHenry (middleware). By incorporating these technologies, Red Hat has become

Kill It With Fire: Manage Aging Computer Systems

by Marianne Bellotti · 17 Mar 2021 · 232pp · 71,237 words

modern software development is improving this situation. Cross-compatibility is much better than it used to be, that’s true, but the growth of the platform as a service (PaaS) market for commercial cloud is increasing the options to program for specific platform features. For example, the more you build things with Amazon’s

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overgrowth, 64 P performance, 42–44, 52, 92, 113, 144 Perrow, Charles, 46 personal computer (PC), 10 Pew Research, 5 physical view, 173 Pinterest, 204 platform as a service (PaaS), 69 POSIX, 27 postmortem, 100, 167–168, 187–190 probabilistic outcome-based decision-making, 138 problem setting, 129–130, 159 processing power, 13 process