CrashPlan Platform Architecture

AI Tools

The CrashPlan platform is a scalable multi-tenant cloud architecture designed to protect, archive, index, and restore data across Microsoft 365, Google Workspace, Endpoints, and Servers. It provides secure backup processing, intelligent indexing, malware scanning, anomaly detection, and flexible storage integrations.

Core Components

The following are the core components of the CrashPlan Platform:

ComponentPurpose
Data SourcesMicrosoft 365, Google Workspace, Endpoints, Servers
Reverse ProxySecure entry point and traffic routing
Authority ServiceAuthentication, authorization, tenant validation
Pre-Processor NodesData ingestion, preparation, metadata handling
HOT LayerHigh-speed active processing and temporary storage
Post-Processor NodesFinal processing, indexing, optimization
DatabaseStores metadata, policies, configurations
Content Indexing ClusterElastic-based search and indexing
Malware ScanningDetects malicious or infected content
Anomaly Detection EngineIdentifies unusual backup or restore activity
Storage TargetsS3, Azure Blob, GCS, Wasabi, Backblaze, CrashPlan DC
CrashPlan Platform - Architecture

CrashPlan Platform - Architecture

Platform Flow

  1. Data is collected from M365, Google Workspace, Endpoints, and Servers.
  2. Traffic enters securely through the Reverse Proxy.
  3. The Authority service validates authentication and tenant access.
  4. Pre-Processor Nodes ingest and prepare the data.
  5. Data moves through the HOT layer for active processing.
  6. Post-Processor Nodes optimize and finalize backup data.
  7. Content is indexed for fast search and restore operations.
  8. Malware scanning and anomaly detection services analyze the data.
  9. Processed data is stored in configured storage targets such as S3, Azure Blob, GCS, or CrashPlan Data Centers.

Architecture Key Benefits

The key features of the CrashPlan platform are:

  • Multi-tenant scalable architecture:

The CrashPlan platform is built using a multi-tenant architecture that allows multiple customers to securely operate within the same platform while maintaining complete tenant isolation. This enables centralized management, efficient resource utilization, and simplified operations at scale. The architecture is designed to dynamically scale processing, storage, and indexing services as customer workloads grow across Microsoft 365, Google Workspace, endpoints, and servers.

  • Secure backup and restore workflows:

Security is integrated throughout the entire backup and recovery lifecycle. The platform validates authentication and authorization before processing requests and supports encrypted backup storage and secure restore operations. Administrative controls, delegation policies, and controlled restore permissions help ensure only authorized users can access protected data.

  • Fast search and granular recovery:

The platform uses a dedicated content indexing cluster powered by Elastic-based indexing services to enable rapid search and recovery operations. Users and administrators can quickly locate files, emails, folders, or SharePoint content and perform granular restores instead of recovering entire datasets.

  • Multi-cloud storage flexibility:

CrashPlan supports multiple storage backends including Amazon S3, Azure Blob Storage, Google Cloud Storage, Wasabi, Backblaze, and CrashPlan-managed data centers. This allows organizations to align storage strategies with cost, performance, compliance, or geographic requirements.

  • Integrated security and anomaly detection:

The architecture includes built-in malware scanning and anomaly detection engines that continuously analyze backup activity and stored content. These services help identify ransomware behavior, suspicious backup patterns, abnormal deletions, or unusual restore activity before they become major incidents.

  • Future-ready AI/RAG indexing support:

The platform architecture is designed to support future AI-powered indexing and Retrieval-Augmented Generation (RAG) capabilities. These services will enable intelligent content discovery, semantic search, contextual recovery recommendations, and enhanced compliance investigations using indexed backup data.

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