IBACKUP Viewer

A fast, focused tool for IT teams and auditors to inspect backup setups, verify coverage, and surface readiness issues.

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Total Calculations Run
< 15ms
Browser Execution Speed
100%
Client-Side Privacy
4.9 / 5.0
User Satisfaction
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Om dette verktøyet

IBackup Viewer ingests backup metadata and produces a topology-centric view of protection across assets. It identifies coverage gaps, misconfigurations, and retention conflicts, enabling auditors and operators to validate that critical systems are protected. Conceptually, it parses inputs, builds a graph of sources and targets, computes coverage metrics, and flags risks. Users benefit from a scalable, data-driven assessment that supports compliance reporting and change management. Core value lies in rapid visibility into complex backup ecosystems and consistent, exportable outputs for audits. Core features include data ingestion adapters, topology mapping, retention/restore readiness checks, risk scoring, and export options. Use cases span quarterly audits, incident response, and vendor-agnostic assessments across mixed environments.

Hvordan bruke

  1. Provide inputs: supply backup configuration data (JSON/YAML) or paste blocks describing sources, targets, schedules, and retention.
  2. Choose analysis scope: coverage validation, restore readiness, or topology view.
  3. Run analysis: tool computes metrics and detects gaps.
  4. Review outputs: outcome summary, risk indicators, and export options.
  5. Export report: download JSON, CSV, or PDF for records.
How to use ibackup viewer

Frequently Asked Questions

Finn raske svar

What is IBackup Viewer?
IBackup Viewer is a domain-focused analysis tool that ingests backup metadata to visualize topology, validate coverage, and surface gaps for faster remediation. It does not perform backups, only analyzes configurations to support audits and resilience planning.
Which backup configurations are supported?
It supports common backup metadata formats such as JSON and YAML inventories of sources, targets, schedules, and retention, and can ingest multiple vendors' configurations by normalizing fields into a shared schema for consistent analysis.
Is data privacy handled within the tool?
Yes. Analysis runs on user-provided data within the tool instance; there are no external data fetches unless explicitly enabled. Outputs contain only computed metrics and can be exported and stored locally.

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