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Hyperglance: Up to 10000 Resources [GovCloud]
Centralized visibility has improved governance, reduced costs, and simplified compliance work
What is our primary use case?
My primary use case with Hyperglance is gaining end-to-end visibility of our cloud and OpenShift infrastructure, and it helps us automatically discover resources, visualize architecture, monitor compliance, and identify cost optimization opportunities from its single dashboard.
Beyond just visualization, the main value Hyperglance brings is having a single source of truth for the environment, which helps reduce operational overhead, improve cloud governance, support compliance requirements, and enable better cost control. Automated infrastructure visualization reduces the effort required for documentation and audits.
What is most valuable?
The best features of Hyperglance are its real-time cloud visualization, cost optimization capabilities, compliance monitoring, and automation, with the standout aspect being that it combines architecture visibility, FinOps, security, and governance into a single platform that significantly improves visibility, troubleshooting, compliance management, and cost control for large cloud or OpenShift environments.
What I appreciate most about Hyperglance is that its real-time cloud visualization and automation features help make my day-to-day work easier by preventing human error and saving significant time. For example, the automated infrastructure visualization eliminates the need to manually create and maintain architecture diagrams, which can quickly become outdated. Having an accurate, real-time view of dependencies helps the team avoid mistakes when making changes or troubleshooting issues.
Beyond the technical features themselves, the biggest benefit is efficiency, as Hyperglance automates tasks that would otherwise require manual documentation, inventory tracking, and compliance reviews, saving time, improving accuracy, reducing the likelihood of configuration mistakes, and allowing engineers to focus on higher-value work instead of infrastructure discovery and reporting.
The biggest positive impact of Hyperglance on my organization is operational efficiency because it centralizes infrastructure visibility, cost management, and compliance monitoring into a single platform, which reduces manual effort, improves the accuracy of infrastructure documentation, helps identify unused resources, and supports proactive governance, allowing teams to spend less time on administrative tasks and more time delivering business value.
What needs improvement?
The main challenge I see with Hyperglance is not functionality but usability; it provides a lot of valuable information, but new users may need time to learn how to navigate and interpret the data effectively. Improvements in dashboard customization, advanced analytics, and deeper integrations would make the platform even more powerful.
The main improvement I would suggest for Hyperglance is making onboarding easier through guided setup, interactive tutorials, and role-specific dashboards. Hyperglance already provides powerful visibility and governance capabilities, but simplifying the learning process would help teams adopt the platform faster and maximize its value sooner. Additionally, predictive insights and business-level reporting would further enhance the user experience.
For how long have I used the solution?
How are customer service and support?
What other advice do I have?
My advice for others looking into using Hyperglance would be to clearly define your objectives before implementing it. Whether your primary goal is cloud visibility, cost optimization, security and compliance, or governance, having clear priorities will help you get the most value from the platform.
I would rate this review an overall 8.Visual mapping has improved cost control and now simplifies audits and cross-team collaboration
What is our primary use case?
My main use case for Hyperglance includes cloud inventory and its mapping, security posture management, architecture documentation, troubleshooting complex environments, and conducting compliance and operational audits.
Recently, I used Hyperglance during a cloud cost review after noticing a spike in AWS. It was quick to visualize unused EC2 instances and attached EBS volumes or over-provisioned resources across multiple accounts. Instead of tracing dependencies in the AWS console, we used the infrastructure map to identify orphan resources and clean them up, which reduced monthly costs and improved visibility for the ops team. Another standout use case was troubleshooting a connectivity issue between application tiers in AWS, where Hyperglance's dependency mapping made it much easier to trace security groups, subnets, and resources.
One of the things we found especially useful with Hyperglance is how it helps bridge the gap between technical and non-technical teams. The visual infrastructure maps make it much easier to explain our architecture, auto-dependencies, and risk areas during reviews or planning sessions. While using Hyperglance, it has also been valuable for onboarding new team members because they can understand the environment much faster without digging through multiple cloud resources.
For others who are looking into Hyperglance, I suggest starting with a clear use case. It delivers the most value when you focus on specific problems such as cloud cost optimization, dependency mapping for troubleshooting, or improving governance and compliance visibility.
What is most valuable?
One of the features that stands out the most for me is cost optimization, along with agentless and self-hosted deployment. When talking about cost optimization, Hyperglance identifies idle resources, right-sizing opportunities, and also has automated security and compliance checks and frameworks such as CIS, NIST, PCI DSS, and AWS Well-Architected. Many enterprises appreciate that the agentless and self-hosted option allows them to run it inside their own environment rather than relying on a free managed SaaS product.
Hyperglance has mainly helped us improve visibility and understanding of our cloud infrastructure. It also helps to find unused or over-provisioned resources that are easy to miss otherwise. From an operational perspective, onboarding new engineers and explaining the environment to stakeholders has become much easier because the infrastructure is visualized clearly instead of being spread across disconnected tools.
What needs improvement?
Some dashboards and visualizations can become cluttered at scale, so I believe more flexible filtering and cleaner navigation would help.
For how long have I used the solution?
I have been working in my current field for the last one and a half years.
What was our ROI?
We have seen measurable improvements in a few areas since adopting Hyperglance. The biggest impact has been on operational efficiency and cloud cost visibility. For example, during a recent infrastructure review, we identified several underutilized EC2 instances, unattached storage volumes, and outdated test resources that were overlooked across multiple AWS accounts. Cleaning those up reduced our monthly cloud spend by roughly ten to fifteen percent. On the operational side, troubleshooting time has improved noticeably because engineers can trace dependencies and visualize architecture much faster instead of manually piecing information together from native cloud consoles.
What other advice do I have?
Hyperglance's AI capabilities appear fairly reliable when it comes to infrastructure dependency mapping and identifying optimization opportunities because it is working from live cloud and configuration and telemetry data rather than purely generative AI outputs. In our experience, the recommendations around unused resources, topology relationships, and governance issues have generally been accurate and actionable. I rate Hyperglance a nine out of ten.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
The Platform That Makes Cloud Management Practical . Making Multi-Cloud Management Feel Manageable
Hyperglance Makes Complex Dependencies Clear with an Actionable Dashboard
Clear visual cloud visibility for complex environments
The visual diagrams and inventory views are especially useful because they help teams quickly understand what exists in the environment and how resources are connected. This is valuable for architects, engineers, security teams, and FinOps users who need to make decisions based on the actual state of the cloud.
I also like that Hyperglance combines visibility with practical operational use cases such as cost optimization, security and compliance monitoring, alerts, and automation. That makes it more useful than a static documentation tool because it can help identify risks, waste, and configuration issues in the live cloud environment.
Overall, the best part of Hyperglance is that it turns cloud complexity into something easier to explore, explain, and act on.
There can also be a learning curve for teams that are not used to thinking about cloud architecture visually. The diagrams and resource relationships are very useful, but users still need enough cloud knowledge to interpret what they are seeing and decide what action to take.
Another area for improvement is that teams may need time to tune alerts, rules, filters, and views so the platform highlights the most important issues without creating noise. In larger environments, the amount of information can be overwhelming at first, so the initial setup and configuration approach matters a lot.
Overall, I think Hyperglance is powerful, but it works best when the organization already has some cloud governance discipline and clear owners for acting on the insights it provides.
The main benefit is that Hyperglance gives teams a more visual and centralized way to understand what is running in the cloud and how resources are connected. This makes it easier to identify misconfigurations, unused or underutilized resources, potential security risks, and areas where cloud spend can be optimized.
It also helps reduce the need for manual cloud diagrams and spreadsheets. Instead of relying on documentation that can quickly become outdated, teams can work from a more current view of the environment. That improves communication between architecture, engineering, security, and operations teams.
Overall, Hyperglance benefits us by improving cloud visibility, making architecture easier to explain, supporting better governance, and helping teams act faster on cost, security, and operational issues.
Hyperglance gave us greater control over our cloud infrastructure
Unified cloud visibility has improved cost control and onboarding but needs simpler interface and pricing
What is our primary use case?
Our main use case for Hyperglance is cloud analysis, which helps us visualize the infrastructure and serves as a cost-effective cloud management system for our organization.
We initially faced an issue with AWS where costs were very high and tracking dependencies was difficult. We switched to Hyperglance to have a single view of the cloud, which addresses costs, architecture, and dependencies together. This allows us to consolidate our cloud infrastructure from AWS and Kubernetes into one unified location.
What is most valuable?
Hyperglance provides visibility that creates a unified view of the entire cloud system, allowing us to debug much faster than we were able to initially. With this visibility, new engineers being onboarded find it easier to understand the infrastructure. Cost optimization is also a significant benefit we gain from Hyperglance, as we are able to see unused resources, which aids in budgeting.
Beyond easier onboarding and faster debugging, Hyperglance automatically identifies idle servers, reducing costs by shutting them down and creating Jira tickets automatically.
The unified view offered by Hyperglance is a huge benefit that we have been able to see. These features stand out for us because it becomes easier to make decisions when all of the information is in a single, simple, unified view. This simplicity makes it easier to debug and for new team members to understand the infrastructure, as they can see budget costs and consider options regarding budgeting, ultimately increasing capacity and speeding up decision-making.
Hyperglance is greatly scalable because, as soon as we scale it to a greater architecture or a larger number of servers, it quickly identifies unused resources, making debugging faster and enhancing budget tracking. We also receive automatic anomaly alerts, so I would say it performs very well in terms of scalability.
What needs improvement?
Hyperglance has a multi-cloud visualization system and automates many things; however, a downside is that the user interface feels somewhat complex when you start. When we first began using Hyperglance, the user interface felt complex initially, but once you become familiar with it, it becomes easier to use. It is powerful, but it is not very easy for a beginner to adapt to.
The user interface of Hyperglance might feel complex in the initial stages, and I would also say that it can be somewhat expensive for small teams or early-stage startups. Hyperglance could be costly for someone with simple infrastructure. Therefore, I think the cost aspect and the user interface could be improved.
Hyperglance is a powerful tool when it comes to cloud operations, functioning as a control system. However, for an early-stage startup that does not have much reliance or is not heavily dependent on cloud operations, it might not be a good option for them. If the cost could be reduced and onboarding made a little easier, early-stage startups would benefit greatly from Hyperglance.
For how long have I used the solution?
I have been using Hyperglance for nine months.
What do I think about the stability of the solution?
Hyperglance is stable in its performance.
How are customer service and support?
I have not faced any issues that required customer support, so I cannot comment on that. However, I think the product is really good, and we have not had many issues that would necessitate support.
Which solution did I use previously and why did I switch?
Initially, we were using AWS before switching to Hyperglance.
What was our ROI?
We have seen a return on investment from Hyperglance, as we are now able to identify waste very efficiently. We have achieved approximately twenty percent cost reduction due to the shutdown of idle servers, and we have also seen approximately eight to ten percent improvement in time, providing significant benefits from Hyperglance.
What's my experience with pricing, setup cost, and licensing?
The cost was pretty steep, and we were not initially very certain about taking Hyperglance due to its price. However, it is a very powerful tool, and I have not been the one handling the pricing and licensing aspects.
Which other solutions did I evaluate?
I evaluated other options before choosing Hyperglance, but I cannot elaborate on this as I am not familiar with those specific options.
What other advice do I have?
My advice for others looking into using Hyperglance is to first assess their team's needs. If there is a small team that does not rely heavily on cloud services and does not need multi-cloud complexity, they might be fine without it. However, if they have a heavy reliance on cloud services and need visibility, automated shutdown of idle servers, and budget tracking, I would definitely suggest Hyperglance. Although it might be complex initially, once you become familiar with it, it is an excellent tool.
For Fintech teams or those who rely heavily on cloud services, Hyperglance might be a great tool, even though the user interface might feel complex at first. I would rate this review a seven overall.
Clear Real-Time Cloud Cost Visibility with Actionable Optimizations
It identifies waste and suggests actionable optimizations automatically.
Best suited for multi-cloud or complex environments where cost and security insights need to be unified.