Snapshot
- AI infrastructure
- Backup
- Cloud
- Cybersecurity
- Data Center
- Artificial Intelligence
- Connectivity
- Enterprise
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- Fabric Manager
- Generative AI
- Networking
- Network Operator
- Open Source
- Protection
- Quality of Service
- Services
- Standards
- Sustainability
- Virtual Extensible LAN
- AIOps
- Automation
- Cloud Infrastructure
- Cloud Migration
- Critical Infrastructure
- Database
- Economy
- Edge
- Ethernet
- Fiber
- General Availability
- Geostationary Orbit
- Industry
- IP Fabric
- IT Governance
- LEO Constellation
- Medium Earth Orbit
- Model Context Protocol
- Model Quantization
- Multicloud
- Network Interface Controller
- Network Resilience
- Packet
- Partnership
- Phishing
- Quantum Computing
- Satellite
- Server
- Software
- Switched Port Analyzer
- Threats
- Virtual Machine
- Vulnerabilities
- Zero-Touch Provisioning
19 organizations in our directory are tagged Snapshot, referenced across 7 articles and 7 open source projects.
What is Snapshot?
Snapshot is a point-in-time, read-only or writable representation of data, system state, or virtual resources, created to support backup, recovery, testing, and lifecycle management without duplicating the entire underlying dataset.
Expanded Explanation
1. Technical Function and Core Characteristics
A snapshot captures the state of a storage volume, file system, database, Virtual Machine (VM), or application at a specific time boundary. Implementations use techniques such as copy-on-write, redirect-on-write, or metadata pointers to minimize physical data copying.
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Snapshots record block-level, file-level, or object-level changes and rely on underlying storage consistency mechanisms. Many enterprise platforms integrate snapshots with write-order consistency, crash consistency, or application-consistent quiescing to support reliable restore operations.
2. Enterprise Usage and Architectural Context
Enterprises use snapshots in data protection architectures for backup, near-instant recovery, and recovery point objectives across storage arrays, hypervisors, databases, and cloud services. Architects place snapshot policies into backup, business continuity, and Disaster Recovery (DR) designs.
Snapshots support cloning for development, testing, analytics, patch validation, and sandbox environments by enabling quick creation of derived copies without full duplication. They appear in architectures for on-premises (on-prem) SAN and Network Attached Storage (NAS), software-defined storage, Kubernetes persistent volumes, and major public cloud block and file storage services.
3. Related or Adjacent Technologies
Snapshots relate to backups, replicas, and continuous data protection but do not replace them in all use cases. Backups usually involve independent copies on separate media or services, while snapshots often stay on the same or logically related storage system.
Adjacent technologies include storage replication, log shipping, clustering, and versioning systems that complement snapshots for recovery point and recovery time objectives. Database and virtualization platforms often expose snapshot features through native tooling and APIs that orchestrate protection workflows.
4. Business and Operational Significance
For enterprises, snapshots provide a mechanism to reduce downtime and data loss exposure while controlling storage consumption and backup windows. Operations teams use scheduled and on-demand snapshots to meet regulatory retention, audit, and service-level requirements.
Snapshots enable administrators to perform quick rollback after failed deployments, configuration changes, or data corruption events. They also help optimize infrastructure utilization by supporting self-service cloning and lifecycle management across production and nonproduction environments.
Our definition.
