Wednesday, October 26, 2016

Gartner Magic Quadrant for Cloud Infrastructure as a Service (Worldwide) (2016, 2015, 2014, 2013, 2012, 2010)

Cloud computing is a style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service using internet technologies. Cloud infrastructure as a service (IaaS) is a type of cloud computing service; it parallels the infrastructure and data center initiatives of IT. Cloud compute IaaS constitutes the largest segment of this market (the broader IaaS market also includes cloud storage and cloud printing). Only cloud compute IaaS is evaluated in this Magic Quadrant; it does not cover cloud storage providers, platform as a service (PaaS) providers, SaaS providers, cloud service brokerages (CSBs) or any other type of cloud service provider, nor does it cover the hardware and software vendors that may be used to build cloud infrastructure. Furthermore, this Magic Quadrant is not an evaluation of the broad, generalized cloud computing strategies of the companies profiled.
In the context of this Magic Quadrant, cloud compute IaaS (hereafter referred to simply as "cloud IaaS" or "IaaS") is defined as a standardized, highly automated offering, where compute resources, complemented by storage and networking capabilities, are owned by a service provider and offered to the customer on demand. The resources are scalable and elastic in near real time, and metered by use. Self-service interfaces are exposed directly to the customer, including a web-based UI and an API. The resources may be single-tenant or multitenant, and hosted by the service provider or on-premises in the customer's data center. Thus, this Magic Quadrant covers both public and private cloud IaaS offerings.
Cloud IaaS includes not just the resources themselves, but also the automated management of those resources, management tools delivered as services, and cloud software infrastructure services. The last category includes middleware and databases as a service, up to and including PaaS capabilities. However, it does not include full stand-alone PaaS capabilities, such as application PaaS (aPaaS) and integration PaaS (iPaaS).
We draw a distinction between cloud infrastructure as a service , and cloud infrastructure as an enabling technology ; we call the latter "cloud-enabled system infrastructure" (CESI). In cloud IaaS, the capabilities of a CESI are directly exposed to the customer through self-service. However, other services, including noncloud services, may be delivered on top of a CESI; these cloud-enabled services may include forms of managed hosting, data center outsourcing and other IT outsourcing services. In this Magic Quadrant, we evaluate only cloud IaaS offerings; we do not evaluate cloud-enabled services.
Gartner's clients are mainly enterprises, midmarket businesses and technology companies of all sizes, and the evaluation focuses on typical client requirements. This Magic Quadrant covers all the common use cases for cloud IaaS, including development and testing, production environments (including those supporting mission-critical workloads) for both internal and customer-facing applications, batch computing (including high-performance computing [HPC]) and disaster recovery. It encompasses both single-application workloads and virtual data centers (VDCs) hosting many diverse workloads. It includes suitability for a wide range of application design patterns, including both cloud-native application architectures and enterprise application architectures.
Customers typically exhibit a bimodal IT sourcing pattern for cloud IaaS (see "Bimodal IT: How to Be Digitally Agile Without Making a Mess" and "Best Practices for Planning a Cloud Infrastructure-as-a-Service Strategy — Bimodal IT, Not Hybrid Infrastructure" ). Most cloud IaaS is bought for Mode 2 agile IT, emphasizing developer productivity and business agility, but an increasing amount of cloud IaaS is being bought for Mode 1 traditional IT, with an emphasis on cost reduction, safety and security. Infrastructure and operations (I&O) leaders typically lead the sourcing for Mode 1 cloud needs. By contrast, sourcing for Mode 2 offerings is typically driven by enterprise architects, application development leaders and digital business leaders. This Magic Quadrant considers both sourcing patterns and their associated customer behaviors and requirements.
This Magic Quadrant strongly emphasizes self-service and automation in a standardized environment. It focuses on the needs of customers whose primary need is self-service cloud IaaS, although this may be supplemented by a small amount of colocation or dedicated servers. In self-service cloud IaaS, the customer retains most of the responsibility for IT operations (even if the customer subsequently chooses to outsource that responsibility via third-party managed services).
Organizations that need significant customization or managed services for a single application, or that are seeking cloud IaaS as a supplement to a traditional hosting solution ("hybrid hosting"), should consult the Magic Quadrants for managed hosting instead ( "Magic Quadrant for Cloud-Enabled Managed Hosting, North America," "Magic Quadrant for Managed Hybrid Cloud Hosting, Europe" and "Magic Quadrant for Cloud-Enabled Managed Hosting, Asia/Pacific" ). Organizations that want a fully custom-built solution, or managed services with an underlying CESI, should consult the Magic Quadrants for data center outsourcing and infrastructure utility services ( "Magic Quadrant for Data Center Outsourcing and Infrastructure Utility Services, North America," "Magic Quadrant for Data Center Outsourcing and Infrastructure Utility Services, Europe" and "Magic Quadrant for Data Center Outsourcing and Infrastructure Utility Services, Asia/Pacific" ).
This Magic Quadrant evaluates all industrialized cloud IaaS solutions, whether public cloud (multitenant or mixed-tenancy), community cloud (multitenant but limited to a particular customer community), or private cloud (fully single-tenant, hosted by the provider or on-premises). It is not merely a Magic Quadrant for public cloud IaaS. To be considered industrialized, a service must be standardized across the customer base. Although most of the providers in this Magic Quadrant do offer custom private cloud IaaS, we have not considered these nonindustrialized offerings in our evaluations. Organizations that are looking for custom-built, custom-managed private clouds should use our Magic Quadrants for data center outsourcing and infrastructure utility services instead (see above).


In the 2016 Magic Quadrant for Cloud Infrastructure as a Service, Worldwide, for the 6th straight year, Gartner placed Amazon Web Services in the “Leaders” quadrant and named AWS as having both the furthest completeness of vision and the highest ability to execute.

In the publication "2015 Magic Quadrant for Cloud Infrastructure as a Service, Worldwide" Gartner Amazon Web Services ranks in the "Leaders" quadrant and appreciates AWS both the completeness of its vision and the most pronounced ability to implement them.


According to the report, Microsoft’s Azure cloud service is already making significant inroads despite the fact that it only launched the IaaS component of its business into general availability a little over a year ago.

What’s interesting about this year’s Visionaries is that they all have new platforms — CenturyLink with the Tier 3 acquisition, CSC with the ServiceMesh acquisition coupled with the AWS partnership, Google with Google Compute Engine, IBM with the SoftLayer acquisition, and Verizon Terremark with the still-beta Verizon Cloud. (Arguably VMware falls into this bucket as well, despite being a Niche Player this year.) These providers are in the middle of reinventing themselves, most with the idea of battling it out for the #3 spot in the market.




. Magic Quadrant for Cloud Infrastructure as a Service and Web Hosting, 2010

1 comment:

  1. Very detailed information provided. The gartner magic quadrant shown with the help of the graphs and diagrams are very efficient to understand the concept clearly.

    thank you for sharing