Infrastructure as a Service Concepts

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

-Party Vendor 2.3 Improving the Model 2.4 Summary Exercises 3 Selecting a 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

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ambiguous; it means different things to different people and has been made meaningless by marketing hype. Instead, we use the following terms to be specific: • Infrastructure as a Service (IaaS): Computer and network hardware, real or virtual, ready for you to use. • Platform as a Service (PaaS): Your software running in a vendor-provided

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, the less you have to concern yourself with technical details of building infrastructure and the more you can focus on the application. 3.1.1 Infrastructure as a Service IaaS provides bare machines, networked and ready for you to install the operating system and your own software. The service provider provides the infrastructure so

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or as dynamic as virtual machines, but many of the same benefits can be achieved. 3.6 Summary This chapter examined a number of platforms. Infrastructure as a Service (IaaS) provides a physical or virtual machine for your OS and application installs. Platform as a Service (PaaS) provides the OS and application stack or

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Cafe Podcast, 188, 200 HVMs (hardware virtual machines), 58 Hybrid load balancing strategy, 75 Hyper-Text Transfer Protocol (HTTP) load balancing, 75 overview, 69 IaaS (Infrastructure as a Service), 51–54 IAPs (Incident Action Plans), 326–327 Ideals for KPIs, 390 Image method of OS installation, 219–220 Impact focus for feature requests, 46

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lookup speed, 28 Individual training for disaster preparedness, 311–312 Informal review workflows, 280 Infrastructure automation strategies, 217–220 DevOps, 185 service platform selection, 67 Infrastructure as a Service (IaaS), 51–54 Infrastructure as code, 221–222 Inhibiting alert messages, 356–357 Initial level in CMM, 405 Innovating, 148 Input/output (I/O) overload

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

other business lines. The other form that technology can take within a business is to be the product for the business, such as with SaaS, infrastructure as a service (IaaS), hardware product companies, or Web 2.0 companies. Being a support service and supporting other key business processes is a fine calling. As a

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, Amazon decided to sell this as a service.4 Out of the offering of spare capacity as a service came the concept and label of Infrastructure as a Service (IaaS). This term started to appear around 2006 and typically refers to offerings of computer infrastructure such as servers, storage, networks, and bandwidth as a

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provides all the required components for developing and deploying Web applications and services. These components include workflow management, integrated development environments, testing, deployment, and hosting. • Infrastructure as a Service (IaaS). This is the concept of offering computing infrastructure such as servers, storage, network, and bandwidth for use as necessary by clients. Amazon’s EC2

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include retail, payments, search, security, and communications. As these concepts evolve, they will continue to refine their definitions, and subcategories are sure to develop. From Infrastructure as a Service, we have seen an explosion of Blah as a Service offerings. (Blah meaning feel free to fill in the blank with almost any word you

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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 computing is used to describe

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was 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

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you use model. • Infrastructure as a Service is the idea of offering infrastructure such as storage, servers, network, and bandwidth in a pay as you use model. • Platform as a Service provides

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, 446–447 third-party software certification, 444–445 top ten obstacles, 447 Cloud computing, history of Artificial Intelligence, 427–428 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

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Cube for databases, 372 Humidity, data centers, 486 HVAC, data center planning, 486, 491 Hybrid development models, barrier conditions, 278 Hypervisors, clouds, 433 I IaaS (Infrastructure as a Service), 427–428 IBM, Autonomic Computing Manifesto, 427–428 Ideal Usage Percentage, 189–191 Identified problems, 141 Identifying, architectural principles, 199 Image storage feature, ARB (Architecture

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, individual contributors. Individual focus vs. team focus, leadership, 71 Information Technology Infrastructure Library (ITIL), 133, 171 Informed persons, RASCI, 38 Infrastructure, roles and responsibilities, 31 Infrastructure as a Service (IaaS), 427–428 Infrastructure engineers, roles and responsibilities, 34–35 Infrastructure features, determining headroom, 187–188 547 548 I NDEX Initial support, incident management, 138

Connectography: Mapping the Future of Global Civilization

by Parag Khanna · 18 Apr 2016 · 497pp · 144,283 words

markets such as Vietnam and Malaysia, attempting to build indigenous systems means wasting billions of dollars when instead they can take advantage of low-cost Infrastructure as a Service cloud-based software, data storage, and enterprise applications. In such countries, citizens also suffer the double whammy of having their data no longer secure “offshore

Team Topologies: Organizing Business and Technology Teams for Fast Flow

by Matthew Skelton and Manuel Pais · 16 Sep 2019

as Code (IaC) project on our client’s Azure infrastructure, automatically installing, configuring, and operating an enterprise document management product. We utilized an “Ops as Infrastructure-as-a-Service” pattern for this project. This included early involvement from the Ops team who were checking in operational code and developers who focused on non-functional

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Figure 7.1 on page 133).This choice between collaboration or consuming a service can be made at many different levels within the organization: consuming infrastructure as a service (from AWS, Azure, or Google Cloud, for instance), collaborating on logging and metrics, relying on a complicated-subsystem team to build a complex audio-processing

Learning Ansible 2 - Second Edition

by Fabio Alessandro Locati · 21 Nov 2016

. Teams managing infrastructures have a lot of choices today for running their builds, tests, and deployments. Providers such as Amazon, Rackspace, and DigitalOcean primarily provide Infrastructure as a Service (IaaS). When we speak about IaaS, it's better to speak about resources not virtual machines for different reasons: • The majority of the products that

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

by Rob Kitchin · 25 Aug 2014

cooperatively: utility clouds and data clouds (Farber et al. 2011). Utility 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

The Fifth Domain: Defending Our Country, Our Companies, and Ourselves in the Age of Cyber Threats

by Richard A. Clarke and Robert K. Knake · 15 Jul 2019 · 409pp · 112,055 words

the perfect solution for start-ups that need infrastructure on which they can build their own applications. This type of cloud computing is known as infrastructure as a service (IAAS). Amazon and other leaders have also started to sell platform-as-a-service offerings that provide the coding environments on which to build applications

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, 243, 270, 303 cost of, 201 IT Services Agency proposal, 176–78 OT and, 273–74 Shadow, 72 spending on, 91 statewide departments, 174–75 infrastructure as a service, 75 Initial Occurrence Syndrome, 162, 223 Inskeep, Todd, 40, 45–46 intellectual property, 34, 42–43 “Intelligence-Driven Computer Network Defense Informed by Analysis of

Hands-On RESTful API Design Patterns and Best Practices

by Harihara Subramanian · 31 Jan 2019 · 422pp · 86,414 words

its native API toolkit to simplify the development of RESTful web services and their clients in Java. Jersey also exposes numerous extension SPIs (software platform infrastructure as a services model). Dropwizard bundles Jersey as its RESTful web app framework and helps developers to write clean code, providing testable classes that gracefully map HTTP requests

Seeking SRE: Conversations About Running Production Systems at Scale

by David N. Blank-Edelman · 16 Sep 2018

and memcached), and databases (e.g., MySQL and MongoDB). Infrastructures Across the industry we now see applications deployed across on-prem assets, virtual machines within Infrastructure as a Service (IaaS; e.g., AWS Elastic Compute Cloud [EC2] and Google Compute Engine [GCE]), Containers as a Service (CaaS; e.g., AWS Elastic Container Service [ECS

The Nature of Software Development: Keep It Simple, Make It Valuable, Build It Piece by Piece

by Ron Jeffries · 14 Aug 2015 · 444pp · 118,393 words

distributed concerns as we go. You may notice that the words “as a service” don’t appear anywhere in the diagram above. The distinctions between “Infrastructure as a Service” and “Platform as a Service” were never strong to begin with. As vendors have sliced, diced, and triangulated their way across the landscape, those classifications

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update the automation scripts and build a new machine. Then the outdated machine can simply be deleted. Not surprisingly, immutable infrastructure is closely aligned with infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and automatic mapping. Convergence is more common in physical deployments and on long-lived virtual machines and manual mapping