
Hyperglance: Custom Resources (BYOL)
Hyperglance Unifies Cloud Visibility, Health, and Cost Monitoring in One Local Dashboard
Powerful Infrastructure Visualization with Built-In Cost and Security Insights
In addition, some of the more advanced filtering, custom rules, and automation features come with a learning curve and would benefit from clearer, more guided onboarding. I’d also like to see more flexibility in dashboard customization, along with better diagram performance when handling very large environments.
Visual mapping has improved cloud risk monitoring and now makes complex environments manageable
What is our primary use case?
My main use case for Hyperglance is visualizing cold cloud infrastructure and monitoring resources across the environment to identify security risks or configuration issues. It helps make complex cloud environments easier to understand and manage.
A specific example of how I use Hyperglance for monitoring risks or managing my cloud environment is using it to visualize our cloud infrastructure and identify security misconfigurations such as storage resources exposed to the public internet. The visual maps help me understand how resources are connected, spot potential risks, and prioritize fixes. It also makes it easier to monitor infrastructure changes and keep cloud environments secure and organized.
I also find Hyperglance useful for getting a clear overview of cloud resources, understanding dependencies, and identifying unused or misconfigured resources. It helps teams attribute issues faster, improve visibility across the cloud environment, and manage infrastructure more efficiently.
How has it helped my organization?
Hyperglance has positively impacted my organization by improving cloud visibility, making it easier to understand infrastructure connections, investigate configuration issues, and identify potential security risks. It reduces the time spent manually checking resources and helps teams spot ideal infrastructure and potential cost savings. Although I haven't tracked exact savings or time reduction, the biggest benefit is having a clear overview of the cloud environment and being able to prioritize issues more efficiently.
Hyperglance has impacted my team's workflow by making collaboration easier through a shared visual view of cloud infrastructure. Instead of spending time checking resources separately, team members can understand dependencies, identify potential configuration issues, and focus on the same priorities. It speeds up troubleshooting by making it easier to trace problems across connected resources. Although I haven't measured a specific reduction in incidents, the improved visibility helps the team take a more proactive approach to cloud security and maintenance.
What is most valuable?
The best features that Hyperglance offers are its visual cloud infrastructure mapping, real-time resource visibility, security risk identification, and dependency tracking. I especially value how it makes complex cloud environments easier to understand, helps identify misconfiguration, and allows teams to troubleshoot issues faster. It also helps with cost optimization by highlighting underused resources and improving overall cloud management.
Hyperglance's visual mapping specifically helps my team by making it easier to understand how cloud resources are connected and quickly identify potential security risks or misconfigurations. For example, if a server is publicly exposed or has an unexpected connection, the visual view helps the team investigate the issues faster. Its cost visibility is also useful for spotting underutilized resources and opportunities to reduce unnecessary cloud spending.
What needs improvement?
I would like to see more advanced cost-saving recommendations, clearer alerts for critical security risks, and automated suggestions for fixing configuration issues. A feature that estimates potential cost savings before making changes would also be helpful. Overall, Hyperglance makes cloud infrastructure easier to visualize, monitor, and manage efficiently.
Hyperglance can be improved by adding more automated security remediations, smarter alerts for critical risks, and clear recommendations for reducing cloud costs. A dashboard showing cost trends, potential savings, and security issues in one place would be helpful. I would also appreciate better integration with popular cloud management ticketing tools, customizable reports, and easier tracking of improvements over time.
One feature that I would really appreciate is an AI-powered recommendation system that not only identifies cloud security risks and cost inefficiencies but also suggests step-by-step fixes. It would also be helpful to have customizable alerts based on risk severity, better reporting for management, and automatic tracking of resolved issues. These improvements could help the team spend less time on manual checks and more time on important cloud infrastructure tasks.
For how long have I used the solution?
I have been using Hyperglance for one year.
What do I think about the stability of the solution?
Hyperglance is stable, and I have had a good experience with it.
What do I think about the scalability of the solution?
The scalability of Hyperglance for managing growing cloud environments is evident through its visual mapping, which helps teams monitor resources and understand dependencies across multiple cloud accounts and environments from a centralized view. I would like to see continued improvements in dashboard performance, large-scale resource discovery, and filtering capabilities to make managing very large and complex environments even easier.
How are customer service and support?
The customer support was fantastic. I would rate the customer support 10 out of 10.
Which solution did I use previously and why did I switch?
We did not use any solutions before Hyperglance.
What was our ROI?
We have not measured Hyperglance's ROI in terms of money saved or staffing reduction. However, the main benefit appears to be the time saved when investigating cloud infrastructure issues, better visibility into security risks, and easier identification of underused resources. It has helped the team prioritize problems and manage the cloud environment more efficiently. Tracking investigation time and avoiding incidents and cloud spending before and after implementation would help with measuring quality and actual return on investment.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing was good, and the setup was easy. Since I already have experience, it was easier for me to set up an account.
What other advice do I have?
I would recommend Hyperglance 9 out of 10.
I give Hyperglance 9 out of 10 because its visual cloud mapping, infrastructure visibility, and security monitoring make managing complex cloud environments much easier. It has helped me understand resource relationships and identify potential issues quickly. I did not give it a perfect 10 because I would appreciate more advanced AI-powered recommendations, smart alerts, and clear cost-saving recommendations with measurable savings. These improvements would make it an even more complete cloud management solution.
Regarding Hyperglance's AI capabilities, I think it could be valuable for identifying cloud security risks and improving infrastructure management. However, strong governance and security controls are essential, including role-based access, data privacy, audit logs, and clear expectations for AI-generated recommendations. I would also appreciate human approval before any high-impact changes are applied automatically. Overall, transparency, compliance, and control over automation would make me more confident in using its AI features in a production environment.
Regarding Hyperglance's AI capabilities, I think it can be useful for identifying potential cloud risks, analyzing infrastructure dependencies, and highlighting configuration issues. However, accuracy and reliability are critical, especially when dealing with security alerts and cost recommendations. I would appreciate clear explanations behind AI-generated findings, fewer false positives, and recommendations validated against real-time cloud data. Human verification for critical actions would also be helpful to build trust and ensure reliable results in a production environment.
Hyperglance is primarily deployed in my organization to visualize and manage infrastructure across public environments with support for multi-cloud and hybrid cloud visibility. In our setup, I would describe the deployment as public cloud, focusing on monitoring cloud resources, infrastructure dependencies, security risks, and costs from a centralized dashboard.
We use AWS as our cloud provider for public cloud deployment.
I would recommend Hyperglance to teams that need better visibility into complex cloud environments, especially those managing multiple accounts or cloud platforms.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Intuitive Cloud Visualization That Simplifies Complex Infrastructure
Clear Cloud Infrastructure Visualization That Saves Time
Makes Complex Cloud Infrastructure Easy to Understand
An easier way to understand our cloud setup and find unnecessary costs
Hyperglance Makes Cloud Infrastructure Visualization Effortless
Automated cloud mapping has replaced manual diagrams and now saves hours every sprint
What is our primary use case?
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.
How has it helped my organization?
Before Hyperglance, my team spent hours every sprint manually redrawing architecture diagrams in Visio or Lucidchart for client reviews. Those diagrams were outdated the moment our CI/CD pipelines deployed changes.
Hyperglance runs in our shared-services VPC and maps everything automatically across 40+ AWS member accounts using IAM cross-account roles. It completely removed the manual diagramming chore and helped us spot misconfigured route tables and security groups before client audits.
What is most valuable?
The self-hosted deployment is the biggest advantage for us. Because the appliance runs entirely on an EC2 instance inside our VPC, no configuration data or credentials leave our boundary, which made InfoSec sign-off easy with strict banking clients. The graph visualization is also great.
Clicking an EC2 instance to immediately trace its ENIs, security groups, route tables, and connected VPC endpoints makes network troubleshooting much faster than clicking around the AWS console. Linking AWS Cost and Usage Reports (CUR) directly to visual nodes is also very handy for tagging audits.
What needs improvement?
The web canvas gets sluggish when rendering large accounts with 5,000+ resources simultaneously unless I apply account or VPC filters first. Also, the embedded PostgreSQL database on the appliance can fill up disk space quickly in environments with heavy autoscaling, so I had to manually expand our EBS volume. Having built-in disk retention alerts in the UI and a more intuitive visual builder for custom rules would be great improvements.
For how long have I used the solution?
I have used the solution for 1-2 years.
Which solution did I use previously and why did I switch?
I used manual tools like Lucidchart and Visio alongside custom Python/Boto3 scripts and AWS Config. I switched because manual diagrams couldn't keep pace with fast cloud deployments, and maintaining custom scripts across dozens of accounts became an unnecessary overhead.
What's my experience with pricing, setup cost, and licensing?
Make sure to factor in the underlying EC2 compute and EBS storage costs. For multi-account workloads, don’t run it on the smallest instance. Give it at least an m5.xlarge and 100 GB gp3 volume so the database runs smoothly. The license cost usually pays for itself quickly once you use the waste-detection rules to delete idle IPs and abandoned snapshots.
Which other solutions did I evaluate?
I evaluated Lucidscale and a few SaaS-based CSPM platforms. I chose Hyperglance because our enterprise client policies strictly prohibited external third-party SaaS engines from scanning their environments. Hyperglance’s self-hosted, agentless model was the cleanest fit.
What other advice do I have?
Deploy your cross-account IAM roles using CloudFormation StackSets across your AWS Organization from day one instead of adding accounts manually. Also, keep the appliance in a private subnet behind an internal ALB or VPN since it holds a full map of your cloud architecture.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Clear Visibility, Steeper Learning Curve.
Beyond visibility, it helps with cost control — its cost optimization insights help identify and terminate unused resources, contributing to cloud cost savings — and with security/compliance, since it runs real-time scanning and automated compliance monitoring to surface misconfigurations, vulnerabilities, and excessive IAM access