Hyperglance: Custom Resources (BYOL)

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.

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.

Some dashboards and visualizations can become cluttered at scale, so I believe more flexible filtering and cleaner navigation would help.

I have been working in my current field for the last one and a half years.

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.

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.

On-premises

Amazon Web Services (AWS)

What do you like best about the product?

What I like most about Hyperglance is how it turns complex cloud infrastructure into something visually simple and actionable. Rather than just presenting raw data, it helps teams truly understand their cloud environment, quickly spot inefficiencies, and make smarter decisions in real time.

What do you dislike about the product?

One area Hyperglance could improve is that its broad range of features can feel overwhelming at first, particularly for smaller teams or for users who are new to cloud governance platforms. The sheer amount of data and the level of customization available are definitely powerful, but the learning curve can slow onboarding and make day-to-day adoption harder in the beginning.

What problems is the product solving and how is that benefiting you?

What I like most about Hyperglance is how it tackles the hidden complexity in modern cloud environments. In large, multi-cloud setups, teams often struggle to see where resources are running, who owns them, why costs are rising, or which configurations might introduce security risks. Hyperglance pulls all of that into a single, clear visual platform, combining real-time visibility with automation and cost intelligence so it’s easier to understand what’s happening across the environment.

What do you like best about the product?

As an engineer, I appreciate Hyperglance for how it automatically visualizes complex system dependencies in one clear, actionable dashboard, making it easier to understand what’s connected and where to focus.

What do you dislike about the product?

Hyperglance can start to feel cluttered at scale. When it renders thousands of resources, it can create "visual noice" that makes it harder for an engineer to quickly understand what they’re looking at.

What problems is the product solving and how is that benefiting you?

Hyperglance helps cut through multi-cloud chaos with AI-driven insights. It saves me time during audits and helps reduce costs, which ultimately improves my ROI.

What do you like best about the product?

What I like best about Hyperglance is that it makes complex cloud environments much easier to understand visually. Instead of relying only on native cloud consoles, spreadsheets, or manual diagrams, Hyperglance can provide a more unified view of cloud resources, relationships, and architecture.

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.

What do you dislike about the product?

What I dislike about Hyperglance is that the value depends heavily on how complex and well-organized the cloud environment already is. If the environment has inconsistent tagging, unclear ownership, unused resources, or weak governance, Hyperglance can expose those problems clearly, but it does not automatically solve the underlying process issues.

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.

What problems is the product solving and how is that benefiting you?

Hyperglance helps solve the problem of cloud complexity and lack of visibility across cloud environments. In many organizations, cloud resources are spread across multiple accounts, subscriptions, regions, services, and teams, which makes it difficult to understand the full architecture, ownership, security posture, and cost impact from one place.

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.