List of D2iQ Enterprise Kubernetes Platform Customers
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Since 2010, our global team of researchers has been studying D2iQ Enterprise Kubernetes Platform 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 D2iQ Enterprise Kubernetes Platform for Container Service 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 D2iQ Enterprise Kubernetes Platform for Container Service include: General Dynamics Information Technology, a United States based Professional Services organisation with 30000 employees and revenues of $9.00 billion, Empower AI (formerly NCI), a United States based Professional Services organisation with 2000 employees and revenues of $280.0 million, Cerved Group, a Italy based Professional Services organisation with 600 employees and revenues of $180.0 million and many others.
Contact us if you need a completed and verified list of companies using D2iQ Enterprise Kubernetes Platform, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cerved Group | Professional Services | 600 | $180M | Italy | D2iQ | D2iQ Enterprise Kubernetes Platform | Container Service | 2021 | n/a |
In 2021, Cerved Group implemented the D2iQ Enterprise Kubernetes Platform as its Container Service to modernize data and application infrastructure supporting its credit-risk and business-information analytics. The deployment moved core analytics and data services off an on-prem Mesos environment and consolidated container orchestration and cluster lifecycle management under the D2iQ Enterprise Kubernetes Platform.
The implementation centralized a Kubernetes control plane, cluster provisioning and lifecycle automation, container runtime management, automated scaling and service discovery, and standardized container images and deployment pipelines. Platform capabilities were extended to include integrated monitoring and logging, and pipeline automation to accelerate build, test and release workflows for data services.
Operational scope focused on Cerved’s finance and analytics functions in Italy, embedding the Container Service into data engineering, analytics and DevOps teams that run the credit-risk and business-information platform. Integrations concentrated on the company’s data services and analytics workloads, aligning runtime orchestration with existing ETL and analytics processing without introducing named third party tools.
Governance changes accompanied the rollout, with phased adoption across teams, standardized deployment patterns, and role based access control and platform-level policy enforcement to rationalize operations. The migration delivered the explicitly stated outcomes of improved platform stability, scalability, DevOps velocity and time-to-market, and created a foundation to enable future AI and ML lifecycle improvements.
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Empower AI (formerly NCI) | Professional Services | 2000 | $280M | United States | D2iQ | D2iQ Enterprise Kubernetes Platform | Container Service | 2022 | n/a |
In 2022, Empower AI implemented D2iQ Enterprise Kubernetes Platform, a Container Service, to support its United States government-focused AI/ML initiatives and its Innovation Lab. The deployment of D2iQ Enterprise Kubernetes Platform was targeted at stabilizing production orchestration for AI and machine learning workloads used to deliver services to federal clients.
The implementation included configuration of container orchestration and cluster lifecycle management, standardized container runtime environments, and platform observability to support continuous AI/ML pipeline execution. D2iQ Enterprise Kubernetes Platform was provisioned to host model training and inference workloads, with operational controls for workload scheduling and resource isolation consistent with Container Service best practices.
Operational coverage centered on Empower AI’s AI/ML teams and the Innovation Lab, delivering a platform to resume and accelerate AI based services to federal clients across the United States. The rollout achieved a stable production environment in days, and Empower AI aligned deployment workflows and centralized platform operations to streamline delivery for government engagements.
The implementation outcome explicitly included reduced operational costs and the ability for Empower AI to resume and accelerate delivery of AI based services to federal clients, with governance anchored in platform level controls and standardized deployment workflows.
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General Dynamics Information Technology | Professional Services | 30000 | $9.0B | United States | D2iQ | D2iQ Enterprise Kubernetes Platform | Container Service | 2020 | n/a |
In 2020, General Dynamics Information Technology implemented D2iQ Enterprise Kubernetes Platform as the foundation for Kubernetes solutions supporting U.S. military and DoD customers. The engagement used D2iQ Enterprise Kubernetes Platform in a Container Service capacity to modernize infrastructure and to enable secure, air gapped deployments for mission workloads.
The deployment was configured to deliver centralized multi cloud, multi cluster fleet management, cluster lifecycle automation, and platform level policy enforcement to support DevSecOps and infrastructure modernization objectives. D2iQ Enterprise Kubernetes Platform was provisioned to enforce role based access control and workload segmentation, aligning container orchestration, security controls, and operational automation typical of enterprise Container Service implementations.
Operational scope was focused on U.S. region public sector engagements, with the platform underpinning mission workloads that require strict isolation and security. Governance emphasis centered on centralizing fleet control and standardizing deployment workflows, and the engagement delivered centralized multi cloud, multi cluster fleet management and improved operational flexibility and security for mission workloads.
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