List of Google Cloud Monitoring Customers
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Since 2010, our global team of researchers has been studying Google Cloud 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 Google Cloud Monitoring for Network Management 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 Google Cloud Monitoring for Network Management and Monitoring include: Friendtimes China, a China based Media organisation with 900 employees and revenues of $120.0 million, NMSWorks Software, a India based Professional Services organisation with 387 employees and revenues of $60.0 million, Pasarpolis Indonesia, a Indonesia based Insurance organisation with 250 employees and revenues of $50.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud 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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Friendtimes China | Media | 900 | $120M | China | Google Cloud Monitoring | Network Management and Monitoring | 2021 | n/a |
In 2021, Friendtimes China migrated overseas game servers to Google Cloud and deployed Google Cloud Monitoring as part of its Network Management and Monitoring implementation. The migration and monitoring rollout focused on centralized observability for game server fleets serving Taiwan, Singapore and other overseas regions.
Google Cloud Monitoring was configured to detect server errors, establish comprehensive alerting policies, and surface telemetry for traffic distribution and latency across game servers. The implementation used metric collection, alerting policies, and troubleshooting dashboards to provide visibility into network anomalies and latency hotspots consistent with Network Management and Monitoring functional workflows.
Monitoring was integrated with Friendtimes cloud-hosted game server instances and the Google Cloud network fabric, providing centralized telemetry to SRE and infrastructure operations teams. Operational coverage targeted gaming infrastructure operations across overseas regions, supporting incident response, traffic distribution troubleshooting and latency analysis.
Operational governance emphasized alert-driven workflows and escalation paths to reduce manual troubleshooting and streamline operations. Friendtimes reported improved regional availability in Taiwan, Singapore and other overseas regions, helped raise network stability toward 99.99%, and reduced operational effort and costs with about a 20% reduction in infrastructure costs reported.
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NMSWorks Software | Professional Services | 387 | $60M | India | Google Cloud Monitoring | Network Management and Monitoring | 2018 | Cloudside |
In 2018, NMSWorks Software deployed Google Cloud Monitoring for Network Management and Monitoring. The deployment hosted the company's CygNet network-management platform on Google Cloud to centralize subsea and terrestrial cable telemetry and fault data collection, enabling a cloud-native monitoring posture.
Google Cloud Monitoring was configured to ingest performance and fault metrics via the Cloud Monitoring API and to deliver real-time alerting and threshold-based notifications to customers. Functional capabilities implemented included telemetry ingestion, time-series storage, alerting, and on-demand complex calculations for performance analytics using GCP services.
The implementation used GCP services to orchestrate data processing and to accelerate client onboarding workflows, Cloudside acted as the system integrator for the deployment. Operational scope covered India-based operations and global subsea network monitoring, impacting network operations teams and customer-facing monitoring services.
Governance and rollout focused on standardizing onboarding procedures and automating calculation pipelines to shorten turnaround, resulting in client onboarding reductions from 15–25 days to about eight hours and reductions in complex calculation times to minutes. The Google Cloud Monitoring implementation established a centralized Network Management and Monitoring capability to support real-time alerts and scaled telemetry processing.
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Pasarpolis Indonesia | Insurance | 250 | $50M | Indonesia | Google Cloud Monitoring | Network Management and Monitoring | 2020 | n/a |
In 2020, Pasarpolis Indonesia implemented Google Cloud Monitoring as part of a broader Google Cloud consolidation to provide Network Management and Monitoring for its insurtech platform. The consolidation onto Google Cloud used GKE, BigQuery, Cloud Logging and Google Cloud Monitoring to enable automatic scaling that absorbed fourfold spikes in demand and to handle terabyte scale data processing for risk analysis.
Google Cloud Monitoring was deployed as the central observability layer, providing metrics collection, alerting and dashboarding consistent with Network Management and Monitoring practices, and integrated with Cloud Logging and GKE cluster telemetry. The implementation focused on platform-level telemetry, service-level indicators and alert routing to platform teams, aligning monitoring configuration with container orchestration and BigQuery processing pipelines.
Operational coverage targeted insurance platform operations across Southeast Asia, supporting growth to tens of millions of policies per month and freeing engineering time as DevOps tasks were reduced ~50%. Governance centered on centralized monitoring, platform team workflows and incident visibility to surface operational issues and coordinate remediation across engineering and SRE functions, while maintaining observability tied to risk analysis workloads handled in BigQuery.
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