List of Oracle Cloud Infrastructure Monitoring Customers
Oracle
2300 Oracle Way,
Austin, 78741, TX,
United States
Austin, 78741, TX,
United States
1 737-867-1000
Professional Services
162000
$67.1B
Since 2010, our global team of researchers has been studying Oracle Cloud Infrastructure Monitoring 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 Oracle Cloud Infrastructure Monitoring for AI Model Deployment and Monitoring 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 Oracle Cloud Infrastructure Monitoring for AI Model Deployment and Monitoring include: Oracle, a United States based Professional Services organisation with 162000 employees and revenues of $67.10 billion, Electronic Theatre Controls, a United States based Distribution organisation with 600 employees and revenues of $375.0 million, OfficeCore, a Israel based Professional Services organisation with 50 employees and revenues of $5.0 million, Multicoreware, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle Cloud Infrastructure Monitoring, 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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Electronic Theatre Controls | Distribution | 600 | $375M | United States | Oracle | Oracle Cloud Infrastructure Monitoring | AI Model Deployment and Monitoring | 2021 | n/a |
In 2021, Electronic Theatre Controls implemented Oracle Cloud Infrastructure Monitoring. Oracle Cloud Infrastructure Monitoring sits in the AI Model Deployment and Monitoring category and was applied to support cloud operations across ETC's North America Oracle Cloud Infrastructure deployment. Oracle states the monitoring deployment helps optimize resource utilization and uptime for infrastructure and applications.
The implementation emphasized core cloud monitoring capabilities, including metric collection, centralized dashboards, threshold based alerts, telemetry retention, and role oriented views for infrastructure and application owners. Oracle Cloud Infrastructure Monitoring was configured to ingest service and application telemetry for compute, networking and storage resources, and to present consolidated observability for operational teams. Configuration work focused on alerting workflows and notification channels to accelerate detection and response.
Operational coverage centered on infrastructure and application operations teams in North America, centralizing observability for OCI resources and standardizing monitoring policies. Governance included centralized configuration of alert thresholds and runbooks to coordinate responses between operations and application teams. Oracle reports that the Oracle Cloud Infrastructure Monitoring implementation supports ETC's objectives to optimize resource utilization and maintain application and infrastructure uptime.
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Multicoreware | Professional Services | 10 | $1M | United States | Oracle | Oracle Cloud Infrastructure Monitoring | AI Model Deployment and Monitoring | 2023 | n/a |
In 2023, MulticoreWare moved its HuBe.ai human behavior intelligence platform to Oracle Cloud Infrastructure in North America and provisioned Oracle Cloud Infrastructure Monitoring as the primary observability layer. Oracle Cloud Infrastructure Monitoring is used to instrument the platform's machine learning workloads, providing centralized metric collection and alerting for compute, networking, and model inference processes. This deployment situates MulticoreWare Oracle Cloud Infrastructure Monitoring within the AI Model Deployment and Monitoring category, linking application telemetry to operational workflows.
The implementation configured monitoring to capture real time telemetry from model inference pipelines, resource utilization metrics from OCI compute instances, and service level indicators exposed by HuBe.ai. Configuration work included defining metric namespaces, threshold based alarms, and dashboarding to surface model performance signals alongside infrastructure health. These capabilities were aligned with AI Model Deployment and Monitoring practices for continuous observability of deployed models and supporting infrastructure.
Operational coverage was scoped to North America and focused on data science, MLOps, and platform operations teams responsible for HuBe.ai. Governance centered on alert routing and incident workflow integration with existing operations processes to support ongoing application monitoring, with monitoring data used to inform deployments and routine operational checks. MulticoreWare Oracle Cloud Infrastructure Monitoring therefore serves as the observability foundation for AI Model Deployment and Monitoring across the companys HuBe.ai platform.
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OfficeCore | Professional Services | 50 | $5M | Israel | Oracle | Oracle Cloud Infrastructure Monitoring | AI Model Deployment and Monitoring | 2026 | n/a |
In 2026, OfficeCore implemented Oracle Cloud Infrastructure Monitoring to support AI Model Deployment and Monitoring for its workforce and field service management solutions. The deployment of Oracle Cloud Infrastructure Monitoring was executed inside an Oracle Cloud Infrastructure footprint alongside Oracle Cloud Guard, with the stated goals of improving security, scalability, and readiness for AI workloads.
Oracle Cloud Infrastructure Monitoring was configured to collect infrastructure metrics, application telemetry, and model inference metrics, using metric namespaces, alarms, and notification topics to operationalize observability. Configuration emphasized continuous metric capture, log aggregation, threshold based alarms, and anomaly detection workflows that align with standard AI Model Deployment and Monitoring practices for telemetry, drift signaling, and latency monitoring.
The implementation integrated Oracle Cloud Guard for automated security posture management and used OCI monitoring pipelines to surface signals into OfficeCore engineering and security workflows. Operational coverage targeted OfficeCore engineering, security, and product teams in Israel, instrumenting the core workforce and field service management application stack to provide model performance and availability visibility across environments.
Governance workstreams established role based access, alerting policies, runbooks, and a cadence for review of monitoring rules and Cloud Guard findings to strengthen operational control. As reported, the effort improved agility, strengthened governance, and positioned OfficeCore for AI adoption while consolidating monitoring and security telemetry under Oracle Cloud Infrastructure Monitoring.
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Oracle | Professional Services | 162000 | $67.1B | United States | Oracle | Oracle Cloud Infrastructure Monitoring | AI Model Deployment and Monitoring | 2024 | n/a |
In 2024, Oracle operationalized Oracle Cloud Infrastructure Monitoring to support AI Model Deployment and Monitoring across its global cloud environment. The implementation aligns with Oracle’s described adaptive intelligence process for continually building, evaluating, monitoring, and deploying machine learning models, and it is positioned as an enterprise-grade monitoring layer for model lifecycle activities.
Oracle Cloud Infrastructure Monitoring was configured to instrument model training and inference workflows, capture model performance telemetry, and surface automated evaluation metrics. Functional capabilities emphasized include continuous model evaluation, runtime performance monitoring, drift detection and alerting, and deployment pipeline gating that enforces evaluation criteria prior to production promotion.
The deployment operates inside Oracle Cloud and ingests native telemetry and logging from model endpoints and training jobs, enabling centralized observability for data science, machine learning engineering, and platform operations teams. Operational coverage is global rather than tied to a single customer site, reflecting an enterprise scope across Oracle’s cloud-hosted AI workloads.
Governance and process changes center on a closed loop for model governance, with automated evaluation gates and monitoring-driven workflows that inform staged deployment and remediation actions. The implementation narrative follows Oracle’s adaptive intelligence model lifecycle, linking Oracle Cloud Infrastructure Monitoring to continuous model building, evaluation, monitoring, and deployment practices.
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FAQ - APPS RUN THE WORLD Oracle Cloud Infrastructure Monitoring Coverage
Oracle Cloud Infrastructure Monitoring is a AI Model Deployment and Monitoring solution from Oracle.
Companies worldwide use Oracle Cloud Infrastructure Monitoring, from small firms to large enterprises across 21+ industries.
Organizations such as Oracle, Electronic Theatre Controls, OfficeCore and Multicoreware are recorded users of
Oracle Cloud Infrastructure Monitoring for AI Model Deployment and Monitoring.
Companies using Oracle Cloud Infrastructure Monitoring are most concentrated in Professional Services and Distribution, with adoption spanning over 21 industries.
Companies using Oracle Cloud Infrastructure Monitoring are most concentrated in United States and Israel, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle Cloud Infrastructure Monitoring across Americas, EMEA, and APAC.
Companies using Oracle Cloud Infrastructure Monitoring range from small businesses with 0-100 employees - 50%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 25%.
Customers of Oracle Cloud Infrastructure Monitoring 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 Oracle Cloud Infrastructure Monitoring customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Model Deployment and Monitoring.