Senior System Engineer at a tech vendor with 10,001+ employees
MSP
Top 10
Feb 26, 2026
Cloud Inventory & Visualization: I can visualize my cloud environment, such as AWS, Azure, or GCP, with up to 5000 resources mapped in an easy-to-understand topology. Cost & Resource Optimization: I am able to identify unused or under-utilized cloud resources to reduce waste and lower costs. Multi-Cloud Management: I bring all of my cloud service providers’ resources under one view, instead of using each provider’s separate consoles.
Hyperglance provides us a great and visible intuitive agentless, self-hosted dashboard which also provides us real-time visibility into the cloud resources we have, making it very easy for our users whether they are technical or non-technical. Hyperglance also provides us interactive diagrams and filterable inventory which allows our teams to quickly search and analyze. The teams can export the cloud data, reducing the complexity of managing multi-cloud environments. Our main use case is to manage the resources across AWS, GCP, and Kubernetes. We manage and visualize the boards using Hyperglance and optimize the cost of the cloud by reducing waste through using the lean model.
In our organization, the main use case for using Hyperglance for up to 5,000 sources is to optimize the cost of the cloud by identifying wastage and right-sizing the resources. Apart from that, we also ensure to monitor the security and compliance part with automatic checks and alerts for any kind of violations which may be due to a policy. We also ensure to automate the remediation actions for identified issues. We also improve the efficiency related to operations. Hyperglance connects well whether it is AWS, Azure, GCP, or Kubernetes and works well with everything.
Hyperglance is known for its excellent visual interactive dashboards that provide a real-time overview of multi-cloud environments, including AWS, Azure, GCP, and Kubernetes, which makes it significantly easier for teams to understand complex deployments and dependencies. The platform maps all cloud resources, updates diagrams in real-time, and allows comprehensive search and filtering across infrastructure, which is the basic use case of Hyperglance. Hyperglance can work with both cloud and hybrid environments, supporting reporting across AWS, Azure, GCP, and Kubernetes, making it a game changer.
GTM engineer at a tech services company with 11-50 employees
Real User
Top 10
Sep 24, 2025
My primary use case for Hyperglance with up to 10,000 resources in GovCloud is managing cloud security, compliance, and resource visibility at scale. It helps monitor configurations, spot potential risks, and maintain governance across a large environment without needing multiple tools.
Hyperglance offers a comprehensive means to visualize, analyze, and optimize cloud infrastructures, providing users with critical insights that enhance operational efficiency and decision-making.Designed for cloud environments, Hyperglance provides an interactive 3D visual representation of cloud architectures. This visualization aids IT professionals in identifying risks, managing performance, and optimizing resource use efficiently. The platform supports multi-cloud environments, including...
Cloud Inventory & Visualization: I can visualize my cloud environment, such as AWS, Azure, or GCP, with up to 5000 resources mapped in an easy-to-understand topology. Cost & Resource Optimization: I am able to identify unused or under-utilized cloud resources to reduce waste and lower costs. Multi-Cloud Management: I bring all of my cloud service providers’ resources under one view, instead of using each provider’s separate consoles.
Hyperglance provides us a great and visible intuitive agentless, self-hosted dashboard which also provides us real-time visibility into the cloud resources we have, making it very easy for our users whether they are technical or non-technical. Hyperglance also provides us interactive diagrams and filterable inventory which allows our teams to quickly search and analyze. The teams can export the cloud data, reducing the complexity of managing multi-cloud environments. Our main use case is to manage the resources across AWS, GCP, and Kubernetes. We manage and visualize the boards using Hyperglance and optimize the cost of the cloud by reducing waste through using the lean model.
In our organization, the main use case for using Hyperglance for up to 5,000 sources is to optimize the cost of the cloud by identifying wastage and right-sizing the resources. Apart from that, we also ensure to monitor the security and compliance part with automatic checks and alerts for any kind of violations which may be due to a policy. We also ensure to automate the remediation actions for identified issues. We also improve the efficiency related to operations. Hyperglance connects well whether it is AWS, Azure, GCP, or Kubernetes and works well with everything.
Hyperglance is known for its excellent visual interactive dashboards that provide a real-time overview of multi-cloud environments, including AWS, Azure, GCP, and Kubernetes, which makes it significantly easier for teams to understand complex deployments and dependencies. The platform maps all cloud resources, updates diagrams in real-time, and allows comprehensive search and filtering across infrastructure, which is the basic use case of Hyperglance. Hyperglance can work with both cloud and hybrid environments, supporting reporting across AWS, Azure, GCP, and Kubernetes, making it a game changer.
My primary use case for Hyperglance with up to 10,000 resources in GovCloud is managing cloud security, compliance, and resource visibility at scale. It helps monitor configurations, spot potential risks, and maintain governance across a large environment without needing multiple tools.