Associate Software Engineer at a tech vendor with 10,001+ employees
Real User
Top 10
Oct 4, 2026
I use Hyperglance for multi-account AWS infrastructure mapping, network dependency visualization, and compliance hygiene. I use it to maintain live topology diagrams across client member accounts and catch orphaned resources such as unattached EBS volumes and idle Elastic IPs.
I am managing multi-cloud environments such as AWS, Azure, and GCP estates to consolidate cost optimization, architecture visualization, and security compliance into a single pane of glass.
I use Hyperglance my organization for real-time cloud visualization and managing FinOps applications. In real-time cloud visualization, we use the interactive diagrams for full infrastructure including managing VMs, network, and all dependencies. It helps us understand which applications or VMs are connected where, and it eliminates the need for manual documentation. Hyperglance also helps us use custom dashboards and reports as it provides multi-cloud dashboards and billing support for managing different cloud environments in a single place.
I have been using Hyperglance for the past two to three years. I use Hyperglance primarily for cloud management and FinOps platform management. Additionally, I use it for the unified multi-cloud view where it provides a single plane where I can manage my different types of Kubernetes clusters in a single interface.
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.
Growth and Product Manager at a computer software company with 11-50 employees
Real User
Top 5
Nov 22, 2025
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 approach to managing multi-cloud environments, emphasizing cost optimization, resource visualization, and automation that enhance productivity and efficiency.Hyperglance is known for its ability to visualize and optimize multi-cloud infrastructures. It effectively manages cloud costs by delivering real-time spending insights and reduction opportunities, enhancing security compliance, and unifying resource management across platforms to prevent vendor...
I use Hyperglance for multi-account AWS infrastructure mapping, network dependency visualization, and compliance hygiene. I use it to maintain live topology diagrams across client member accounts and catch orphaned resources such as unattached EBS volumes and idle Elastic IPs.
I am managing multi-cloud environments such as AWS, Azure, and GCP estates to consolidate cost optimization, architecture visualization, and security compliance into a single pane of glass.
The primary use case is to get visibility of cloud infrastructure and find security misconfigurations.
I use Hyperglance my organization for real-time cloud visualization and managing FinOps applications. In real-time cloud visualization, we use the interactive diagrams for full infrastructure including managing VMs, network, and all dependencies. It helps us understand which applications or VMs are connected where, and it eliminates the need for manual documentation. Hyperglance also helps us use custom dashboards and reports as it provides multi-cloud dashboards and billing support for managing different cloud environments in a single place.
I have been using Hyperglance for the past two to three years. I use Hyperglance primarily for cloud management and FinOps platform management. Additionally, I use it for the unified multi-cloud view where it provides a single plane where I can manage my different types of Kubernetes clusters in a single interface.
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.