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Meet Arcfra Inspector: Enable Self-Service Inspections, Customizable Reports, and Visible Trends

Published on 2026-08-13 by Arcfra Team

Last edited on 2026-08-13

As enterprise virtualization cluster footprints keep expanding and business systems become more diverse, maintaining the stability of underlying resources and identifying potential risks early have therefore become key priorities for enterprise IT operations.

However, traditional infrastructure inspection still relies heavily on manual offline operations. On one hand, customers, lacking self-service inspection capabilities, must depend on vendors or operations service providers for periodic on-site checks. Meanwhile, vendors’ support teams also manually deploy tools, analyze data, and prepare reports when delivering inspection services. These make enterprise infrastructure inspection inefficient, slow to respond, difficult to operate routinely, and limited in health check coverage.

To solve these challenges, Arcfra introduces Arcfra Inspector in Arcfra Operation Center (AOC). It gives users a unified, intuitive, and intelligent platform for health inspections, enabling them to efficiently monitor cluster operations, proactively identify and address potential issues, and continuously improve system health across routine operations, system go-live, and software upgrade scenarios.

Why Arcfra Inspector?

1. Manual Operations Limit Efficiency

Without self-service inspection tools, users often rely on vendors’ support teams to manually inspect clusters, analyze risks, and compile reports. The workflow is long, inefficient, and costly.

Customer Story 1: Reliance on Manual Vendor Inspections Leaves Users Chasing Reports

A large manufacturer had to work with its vendor every quarter to complete health inspections for more than 10 clusters. Because there was no automation tool, each cluster inspection required multiple steps, including deploying tools, capturing screenshots, analyzing risks one by one, and manually drafting the report. It took the IT team at least three days to receive a complete inspection report.

The IT operations manager described the process as time-consuming: “Even for a routine check, we have to schedule it more than a week in advance. If maintenance windows are limited or there aren’t enough staff available, it takes even longer.”

2. Rigid Inspections Lead to Bloated Reports

Most inspection tools use fixed inspection items and fixed templates, leaving users unable to choose what to inspect or tailor report content to their needs. The result is lengthy reports with unclear priorities and poor readability.

Customer Story 2: Reports of More Than 30 Pages Bury the Issues That Matter

A financial services customer planned to present its inspection results to the group IT committee. While preparing the report, the IT team found that the inspection tool they used could only provide a fixed-template report of more than 30 pages.

The report included large amounts of redundant information with no identified risks, wasting resources and increasing the review burden. More importantly, key issues were buried among pages of normal results and were easily overlooked by management.

3. No Data Trends Make Health Changes Hard to Assess

Traditional inspection tools do not provide graphical views of cluster resource trends, making it difficult for users to assess changes in cluster health. In the past, support teams had to manually compare inspection reports to identify differences, which was inefficient and error-prone.

Customer Story 3: Each Inspection Is a One-Off Health Check, Making It Hard to Track Changes Over Time

A financial services customer operated more than 30 production and test clusters and had long relied on quarterly inspections to ensure business continuity. Because the tool lacked data trend visualization and comparison capabilities, each inspection felt like a one-off health check. The team could not accurately assess whether a cluster’s resource usage was growing steadily or surging.

When proposing capacity expansion, the team often faced challenges from the group: even though resource bottlenecks were approaching, they were easily overlooked by superiors without supporting data.

To meet customers’ needs for self-service, customizable, and observable inspections, AECP introduces Arcfra Inspector in Arcfra Operation Center (AOC) to help users identify and address potential issues early and build a standardized, data-driven health operations system.

Arcfra Inspector: Self-Service, Efficient, and Data-Driven

Arcfra Inspector is a native operations service built into Arcfra Operation Center (AOC). Designed for Arcfra AECP environments, it provides comprehensive cluster health checks and optimization recommendations. With a graphical interface and trend analysis capabilities, Arcfra Inspector helps users:

Quickly understand cluster operating status and resource utilization, and proactively identify risks and potential issues.
Customize inspection content and export reports to meet operations and delivery needs across multiple scenarios.
Record historical inspection data and visualize trends to support capacity planning and long-term optimization decisions.

Capability	Description
Native Platform Integration, Ready to Use	As a native module of Arcfra Operation Center (AOC), Arcfra Inspector requires no separate tool deployment. Users can launch inspection tasks from AOC's unified interface and quickly assess current cluster health.
Enable Self-Service Inspections, Adaptable to Multiple Scenarios	•Routine operations: Periodically review cluster health trends and resource utilization. •System changes: Proactively verify cluster health after a new cluster deployment, software upgrade, or operations change.

Broad Inspection Coverage	Arcfra Inspector performs health checks across the following key dimensions: •Hardware: Checks the health of physical components such as nodes, disks, and NICs. •System: Checks OS versions, patches, events, and service runtime status. •Network: Checks link connectivity and configuration integrity. •Resources: Displays cluster and host resource configurations, usage status, and utilization trends. •Performance: Displays metrics such as peak cluster performance and physical disk I/O. •VM usage: Displays VM TopN rankings by CPU, memory, and space usage, as well as the host-to-VM consolidation ratio.






Graphical Operations and Result Display	•The Inspector Overview page automatically consolidates inspection records, cluster risk distribution, and the risk overview. •Detailed inspection results can be viewed by cluster, covering key dimensions such as configuration checks, service status, and performance assessment. •Resource utilization trend charts show changes over the past 1, 3, or 6 months to support capacity planning and expansion decisions. •Host-to-VM consolidation ratio helps analyze resource density.



Customize Inspection Items and Report Exports	•Users can select inspection dimensions and export items as needed. •Reports can be exported in Word (.docx) format with a clear structure and focused content. •Each risk item includes an assessment and recommended remediation actions, making reports easier to read.


Scheduled Automated Inspections (Coming Soon)	•Users can schedule automated inspection tasks to run daily, weekly, or monthly and regularly track system trends. •Historical report archiving supports comparative analysis, creating a “cluster health record.”
Scheduled Automated Inspections (Coming Soon)

All these capabilities are available through the unified Arcfra Operation Center (AOC) platform, with no separate tool deployment required. This enables true one-click inspection, customized reporting, and trend insight.

Product Comparison

Capability	Arcfra Inspector	Traditional Virtualization Inspection Tools
Inspection Initiation	✅ One-click launch from AOC	Typically relies on offline, remote operations or command lines.
Inspection Flexibility	✅ Customizable inspection items and report content	Fixed templates with excessive, poorly targeted content
Inspection Coverage	✅ Covers six categories: hardware, system, network, resource, performance, and virtual machine.	Typically only covers a small number of system items
Result Visualization	✅ Graphical results with consolidated risk categories	Requires manual consolidation; information is fragmented
Trend Analysis	✅ View resource utilization trends and compare with historical data	No built-in comparison; manual consolidation required
Report Export and Delivery	✅ Word report export with remediation recommendations	Reports need to be written manually, lacking consistency
Inspection Task Automation	✅ Supports scheduled, recurring tasks (coming soon)	Manual launch required each time, making continuous tracking difficult

Business Values and Customer Benefits

With Arcfra Inspector, users gain a more comprehensive view of cluster health, improving both IT operations efficiency and cluster security:

Greater autonomy: Arcfra Inspector gives enterprise customers direct control over cluster health and reduces their reliance on vendor services. Whether conducting routine inspections or checking systems at key milestones such as a new cluster go-live or system upgrade, customers can run an inspection task with one click from the graphical interface and immediately view operating status.
Higher operations efficiency: Arcfra Inspector significantly eases the manual workload faced by traditional operations teams, shifting issue discovery from manual investigation to system-driven detection. Its platform-based capabilities provide a reliable foundation for operations teams, especially when supporting large clusters, multiple clusters, or cross-region deployments.
Clear, professional reports with actionable results: Inspection reports can be exported in Word format, with a customizable selection of key items. Their clear structure, focused presentation of issues, and specific recommendations make the reports suitable for customer use, team communication, and management reporting. Each risk item includes a professional assessment and recommendation to help customers quickly define optimization measures.
Visible trends and data-backed decisions: Data on resource utilization and changes in system health support both cross-cluster comparison and longitudinal analysis, helping IT teams plan capacity expansion, service optimization, and budget allocation in advance.
Lower costs, greater efficiency: With standardized and automated cluster health checks, Arcfra Inspector reduces repetitive work and manual intervention, detects issues more efficiently, and enables customers to focus on higher-value IT planning and business workloads.

Customer Story 1 Follow-Up: From Vendor Dependence to One-Click Self-Service Inspections

After enabling Arcfra Inspector, the customer could independently launch an inspection task across all clusters with one click, identify risk items and visualize the results within 10 minutes, and export either a standard or customized report.

A process that once took three days now takes less than half an hour, dramatically reducing wait and coordination time. With self-service inspections in place, the IT team can devote more attention to IT strategy planning instead of repetitive manual work.

Customer Story 2 Follow-Up: A Three-Page Risk-Focused Report Attracts Management to Read in Full

With Arcfra Inspector, the customer can customize inspection items and report content. Using this feature, the customer selects only current business-critical clusters and high-risk items to generate a report focused on key risks and metric trends. The full report takes only three pages, with clear logic and specific recommendations, significantly improving the efficiency of communication and decision-making.

Customer Story 3 Follow-Up: Trend Comparisons Build a Stronger Case for Capacity Expansion

With Arcfra Inspector, the customer can easily view CPU, memory, and storage utilization trends for each cluster over the past 1, 3, or 6 months. The system also automatically displays VM resource usage TopN rankings based on cluster scale, providing strong evidence for capacity planning.

For the first time, data gave the operations team and management a shared basis for discussion. As the user put it, “We no longer rely on impressions; we present the data.”