List of In-House Cloud Storage Customers
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Since 2010, our global team of researchers has been studying In-House Cloud Storage customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased In-House Cloud Storage for Cloud Storage from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using In-House Cloud Storage for Cloud Storage include: General Motors, a United States based Automotive organisation with 162000 employees and revenues of $187.44 billion, Kroger, a United States based Retail organisation with 409000 employees and revenues of $147.12 billion, Target, a United States based Retail organisation with 440000 employees and revenues of $106.57 billion, T-Mobile _x000D_, a United States based Communications organisation with 70000 employees and revenues of $81.40 billion, Citigroup, a United States based Banking and Financial Services organisation with 230000 employees and revenues of $81.09 billion and many others.
Contact us if you need a completed and verified list of companies using In-House Cloud Storage, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The In-House Cloud Storage customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Citigroup | Banking and Financial Services | 230000 | $81.1B | United States | In-House Applications | In-House Cloud Storage | Cloud Storage | 2010 | n/a |
In 2010, Citigroup implemented In-House Cloud Storage, classified as Cloud Storage, to accelerate provisioning for its global development community. The project was led by Citi Technology Infrastructure and built as a private cloud based on the Cloudburst software architecture, delivering infrastructure as a service and software as a service from the outset to support developer workflows.
The In-House Cloud Storage implementation standardizes image based OS deployments with predefined middleware stacks running on banks of Intel processor based commodity servers, with plans to extend to IBM Power Systems and IBM zEnterprise running Linux on System z. Automation and orchestration are provided by Tivoli Service Automation Manager for administrative task automation and Tivoli Provisioning Manager for provisioning workflow, while Tivoli Usage and Accounting Manager captures usage data to enable departmental chargeback.
Operational integration includes a self service ordering surface through the Citi Marketplace portal, which triggers a secure automated provisioning workflow into the cloud environment. Endpoint security and continuous compliance in the In-House Cloud Storage environment are enforced via Tivoli Endpoint Manager built on BigFix, using an agent on each endpoint to provide real time visibility and patch enforcement. The deployment initially targeted development environments, supporting thousands of internal application developers and the bank’s development server population.
Governance and process changes were embedded in the automated workflow, requiring approvals and driving usage based chargeback to encourage timely decommissioning of unneeded servers. The implementation materially reduced provisioning time and operational overhead as reported, cutting developer wait time from 45 days to less than 20 minutes after approvals, enabling systems administrators to support far larger server counts, and provisioning more than 550 virtual machines during initial rollout with demand continuing to grow.
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eBay | Retail | 11500 | $2.6B | United States | In-House Applications | In-House Cloud Storage | Cloud Storage | 2004 | n/a |
In 2004 eBay implemented In-House Cloud Storage as a core component of its private cloud infrastructure, aligning the In-House Cloud Storage deployment with its broader Cloud Storage strategy. eBay's Chief Technology Officer publicly defended the decision to retain and invest in its own infrastructure, citing the platform's ability to withstand sudden increased demands during 2020 while maintaining a seamless customer experience.
The In-House Cloud Storage implementation emphasizes distributed storage principles and edge distribution, providing object style storage, replication and localized caching to reduce latency and improve resiliency for global transactions. Functional capabilities described by eBay include scalability to support high throughput workloads and consistent data locality, enabling marketplace services to scale rapidly under burst traffic patterns.
Operationally the architecture extends to edge computing nodes deployed around the world, distributing services to reside within proximity of customers to improve latency and deliver consistent customer experiences regardless of geolocation. eBay reports that this infrastructure supported handling over 250 checkouts per second during peak demand, and kept the marketplace available throughout the pandemic while holding costs relatively flat, linking the Cloud Storage and edge deployments directly to checkout and transaction processing functions. The deployment therefore impacts marketplace operations, checkout and payment flows, seller experiences, and global customer facing site reliability.
Governance and rollout are described as part of a tech transformation strategy with sustained investments in private cloud and edge capabilities, enabling nimble and rapid service deployments to accommodate surges. The company contrasted its in-house path with peers that moved to hyperscale public clouds, framing the decision as an operational choice tied to control over infrastructure and the ability to optimize for marketplace scale. The In-House Cloud Storage remains a core infrastructure layer for eBay Cloud Storage driven use cases, with Managed Payments noted as an adjacent business area where further detail on the infrastructure implications would be relevant.
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Expedia | Professional Services | 16500 | $13.7B | United States | In-House Applications | In-House Cloud Storage | Cloud Storage | 2003 | n/a |
In 2003, Expedia implemented In-House Cloud Storage as a Cloud Storage initiative to centralize indexed query and object storage for its engineering platforms. The In-House Cloud Storage application provided persistent storage for search indexes and query artifacts used by Expedia Worldwide Engineering to support typeahead and indexing workflows.
The In-House Cloud Storage deployment operated within Expedia’s AWS-centric multi-region architecture, aligning with the company’s use of Amazon VPC and EC2 security group controls. Expedia automated provisioning and configuration for the storage service using Chef and AWS CloudFormation, enabling images and scripts to build and spin up storage nodes as part of standardized AMI-based pipelines.
Operational integration reflected Expedia’s mixed storage and processing estate, with the in-house storage coexisting alongside Amazon S3 data stores and Amazon EMR processing clusters used for clickstream and supply data analysis. Access and identity for the storage tier were managed through Expedia’s identity federation broker that leveraged Windows Active Directory, AWS Identity and Access Management, and the AWS Security Token Service to enforce directory-driven permissions and group policies.
Governance and rollout followed company-wide standards that consolidated AWS accounts, provisioned isolated VPC networks per region, and adopted blue green deployment patterns for parallel production environments. The In-House Cloud Storage deployment reinforced consistent operational controls and developer transparency in the Cloud Storage layer, supporting Expedia’s multi-region, multi-availability zone architecture and the engineering practices that improved resilience and accelerated application deployment.
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Fiserv | Professional Services | 38000 | $21.2B | United States | In-House Applications | In-House Cloud Storage | Cloud Storage | 2007 | n/a |
In 2007, Fiserv implemented In-House Cloud Storage as a strategic initiative of its technology services organization to lead a company wide digital transformation. The In-House Cloud Storage deployment was described as a Cloud Storage service established to host more than 50,000 workloads and to provide platform level availability across five data centers with multiple availability zones.
The implementation defined core Cloud Storage capabilities including centralized storage provisioning, automated capacity tiering, and multi availability zone replication to support high availability and workload distribution. The program carried a project budget of 500 million dollars and was architected to deliver scalable object and block storage semantics consistent with enterprise Cloud Storage operational models.
Operational scope included global coverage and a governance approach tied to Americas, EMEA, and APAC, and the effort explicitly merged two organizational teams at a psychological level to align behaviors and outcomes after M&I. As part of the integration strategy the program built a new identity for a global team, signaling a common operating model across regions and tighter alignment of technology services and operations.
Governance and rollout focused on establishing a repeatable framework for high performing global teams to introduce next generation technologies, with structured team integration, role clarity, and phased service activation across the five data centers and availability zones. The implementation positioned In-House Cloud Storage as a foundational Cloud Storage platform to support subsequent technology rollouts under centralized operational oversight.
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General Motors | Automotive | 162000 | $187.4B | United States | In-House Applications | In-House Cloud Storage | Cloud Storage | 2013 | n/a |
In 2013, General Motors implemented In-House Cloud Storage as part of its Cloud Storage strategy, deploying the service into the new Warren Enterprise Data Center with a companion site at Milford Proving Ground. The deployment was a core element of a company plan to consolidate IT operations from 23 datacenters to two by 2015, and the Warren facility had already absorbed three datacenters while being built for a reported cost of 150 million dollars.
The In-House Cloud Storage implementation was embedded in GM’s private cloud architecture that emphasized automated provisioning and compute infrastructure as a service for internal developers. The environment supported roughly 2,500 virtual servers running SUSE Linux or Windows 2008 R2, and about 12 percent of the Warren datacenter footprint remained dedicated to custom built infrastructure outside the cloud. Storage services were provisioned to support engineering workloads such as computer aided design and simulation, aligning storage allocation with virtualized compute workloads.
Hardware and systems integrations were explicitly based on Hewlett Packard blade servers in HP C7000 enclosures, with supplementary tooling from HP, IBM, and VMware, and network segmentation provided by VPNs and LAN segments rather than software defined networking. Operational coverage included the Vehicle Engineering Center colocated at Warren where engineers consume provisioned compute and storage, and the cloud interface was offered to internal IT development teams to reduce wait time for resources. The setup combined virtual server orchestration with physical datacenter efficiencies and targeted cooling and power systems.
Governance changes accompanied the rollout, with GM centralizing control of IT assets and rebuilding internal IT headcount, converting IT operatives to formal employees and hiring system engineers and developers to operate the platform. The Warren datacenter earned LEED gold certification and the program was reported to target a roughly 70 percent reduction in energy consumption, with company executives projecting the facility could pay for itself in approximately three years. General Motors In-House Cloud Storage, classified under Cloud Storage, was positioned to support engineering and IT development business functions while consolidating infrastructure and centralizing operational control.
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Retail | 409000 | $147.1B | United States | In-House Applications | In-House Cloud Storage | Cloud Storage | 2008 | n/a |
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Aerospace and Defense | 47000 | $16.7B | United States | In-House Applications | In-House Cloud Storage | Cloud Storage | 2005 | n/a |
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Communications | 11900 | $4.8B | Bermuda | In-House Applications | In-House Cloud Storage | Cloud Storage | 2018 | n/a |
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Professional Services | 83334 | $41.5B | United States | In-House Applications | In-House Cloud Storage | Cloud Storage | 2003 | n/a |
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Communications | 70000 | $81.4B | United States | In-House Applications | In-House Cloud Storage | Cloud Storage | 2009 | n/a |
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FAQ - APPS RUN THE WORLD In-House Cloud Storage Coverage
In-House Cloud Storage is a Cloud Storage solution from In-House Applications.
Companies worldwide use In-House Cloud Storage, from small firms to large enterprises across 21+ industries.
Organizations such as General Motors, Kroger, Target, T-Mobile _x000D_ and Citigroup are recorded users of
In-House Cloud Storage for Cloud Storage.
Companies using In-House Cloud Storage are most concentrated in Automotive, Retail and Communications, with adoption spanning over 21 industries.
Companies using In-House Cloud Storage are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of In-House Cloud Storage across Americas, EMEA, and APAC.
Companies using In-House Cloud Storage range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 100%.
Customers of In-House Cloud Storage include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified In-House Cloud Storage customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Cloud Storage.