FinOps & Cloud Management for Federal and Government Agencies & Departments
Connect cloud cost to ownership, architecture, and safe action without sending sensitive cloud metadata to another SaaS platform
What's Running, Who Owns It, and What's Safe To Change
Government cloud estates rarely fit neatly inside 1 account, subscription, department, or budget.
Hyperglance brings cloud resources, relationships, cost, ownership, and governance context together so technical teams can investigate problems without jumping between cloud consoles, spreadsheets, tagging reports, and disconnected tools.
See resources and relationships across AWS, Azure, Google Cloud, and Kubernetes
Connect cloud spend to departments, programs, services, owners, and technical context
Review cost and governance issues before deciding what should change
Cost Trend Analysis
What Makes Cloud Hard In Government
Government cloud teams have to balance cost, service delivery, security, procurement rules, and accountability.
That gets harder when environments span multiple AWS accounts, Azure subscriptions, Kubernetes clusters, teams, vendors, or organizational boundaries. Some agencies also operate AWS GovCloud or Azure Government environments alongside other cloud infrastructure.
A cost spike might belong to a single program, a shared platform, a contractor-managed workload, or infrastructure nobody can confidently assign.
And finding something expensive is only part of the job.
Before changing it, engineering still needs to know what it supports, who depends on it, whether it has an owner, and whether taking action could affect an important service.
Tags can help. But government estates often outlive tagging standards, team structures, contracts, and individual projects. A tag saying “Program-A” does not necessarily tell you who owns the resource today or whether it is safe to remove.
That's where cost, ownership, and architecture need to meet.
Multicloud Cost Explorer
The 3 Problems We See Most
Cost Is Spread Across Too Many Places
Cloud spending can be distributed across departments, programs, environments, shared services, accounts, subscriptions, and Kubernetes workloads.
Finance may see the total. Engineering may understand the infrastructure. Program owners may know why the workload exists.
The problem is connecting those views.
Hyperglance gives teams a way to investigate the resources behind cloud spend and relate them to the way the environment is actually organized. That makes it easier to answer questions such as:
- Which program or service is driving this increase?
- Is the spend tied to production, development, or shared infrastructure?
- Are unused or underused resources contributing to the bill?
- Can this cost be allocated more accurately?
Ownership Is Hard To Prove
Missing, inconsistent, or outdated tags make cloud ownership difficult to establish.
And even good tags only tell part of the story.
A resource may have been created by 1 team, inherited by another, and now support several services. During migrations, reorganizations, or contractor changes, ownership can become even less clear.
Hyperglance lets teams combine inventory, tagging, cost, and architecture context so they can investigate who is responsible for a resource and what it connects to before routing an issue or taking action.
Risk And Waste Are Hard To Separate
A low-utilization instance can look like obvious waste.
But what if it supports a quiet production service, disaster recovery process, scheduled workload, or dependency that is not obvious from utilization data alone?
Cost recommendations need context.
By showing resources alongside their relationships, ownership, and other cloud data, Hyperglance gives engineers more information before they resize, stop, delete, or otherwise change infrastructure.
The goal isn't to act on every recommendation. It's to make better-informed decisions about which recommendations deserve action.
How Hyperglance Helps
See
Build a clearer picture of what exists across AWS, Azure, Google Cloud, and Kubernetes.
View cloud inventory and architecture relationships together, rather than investigating each account, subscription, or platform separately.
That makes it easier to trace the infrastructure behind a service, program, cost center, or unexpected bill.
Validate
Before acting on a cost or governance issue, check the surrounding context.
Look at ownership, tags, relationships, configuration, cost, and other relevant signals to understand whether a resource is really unnecessary or simply looks that way in isolation.
This is particularly useful when several teams need to agree before a change can be made.
Fix
Once the team understands the issue, Hyperglance can support remediation and automation workflows for selected cloud management tasks.
That might mean cleaning up unused resources, improving tagging, addressing configuration issues, or routing work to the right owner.
The important part is that action follows investigation, rather than the other way around.
Stay Fixed
Government estates keep changing.
New workloads appear. Teams reorganize. Tags drift. Resources get created outside established processes.
Rules, reporting, dashboards, and repeatable governance workflows can help teams identify when cloud environments move away from expected standards again, reducing the need for periodic spreadsheet-driven cleanups.
Who Hyperglance Helps
Cloud & Platform Teams
Understand what a resource supports before changing it.
Architecture views help engineers trace relationships across cloud infrastructure, investigate unfamiliar resources, and put cost recommendations into technical context.
That can reduce the risk of treating every idle-looking resource as disposable.
FinOps & Finance Partners
Connect cloud costs to the resources, owners, programs, and technical decisions behind them.
Instead of discussing a cost spike as a number alone, finance and engineering can work from shared context and decide whether the right response is allocation, investigation, resizing, cleanup, or simply explaining why the spend is necessary.
Security & Compliance Teams
See cloud resources, configuration, ownership, and architecture context in one place when investigating governance or compliance questions.
Hyperglance can support audit preparation and governance workflows by making cloud information easier to inspect and report on.
Because Hyperglance is self-hosted, agencies also have more control over where the platform runs and how cloud metadata is handled.
A Typical Scenario
A department sees a noticeable increase in cloud spend.
The billing data shows where the cost appeared, but not whether it is justified.
The FinOps team traces the increase to infrastructure used by a shared service. Tags are inconsistent, several resources have no obvious owner, and some appear underused.
Deleting or resizing them immediately would be risky.
Using Hyperglance, the team can inspect the affected resources, see what they connect to, review ownership and tagging information, and identify which resources deserve further investigation.
Engineering can then separate genuinely unnecessary infrastructure from resources that still support an important dependency.
Finance gets a clearer explanation of the increase. Engineering gets enough context to decide what can safely change.
Cost Anomaly Detection
Why Hyperglance
Government teams don't always have the option of sending operational cloud data to another SaaS platform.
Hyperglance is self-hosted, giving agencies more control over deployment, access, and data handling.
It also brings together areas that are often handled separately:
- Cloud cost
- Resource ownership
- Architecture relationships
- Tagging and allocation
- Governance checks
- Cloud resource management
- Reporting and remediation workflows
This matters because cloud decisions rarely belong to only 1 of those categories.
A cost problem can also be an ownership problem. An ownership problem can become a governance problem. And a sensible cost recommendation can become a bad engineering decision if nobody checks the architecture first.
Hyperglance is built for that connected view.
Multicloud Dashboard
The FinOps Tool for Every Stakeholder
Find out why so many Cloud & FinOps teams are making the move from tools like CloudHealth and Cloudability to Hyperglance.
FAQs
Can Hyperglance Be Self-Hosted?
Yes. Hyperglance is designed to run in your own environment, giving your organization more control over deployment, access, and cloud data handling.
Does Hyperglance Support Government Cloud Environments?
Hyperglance supports AWS and Azure environments, including AWS GovCloud and Azure Government. Exact environment and deployment requirements should be confirmed with the Hyperglance team before procurement or implementation.
Does Hyperglance Guarantee Compliance With Government Frameworks?
No. Hyperglance can support governance, reporting, compliance checks, and audit workflows, but it should not be presented as guaranteeing compliance with a particular framework.
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