Overview

The Integration section covers all aspects of connecting your DOCC Platform with external systems, configuring storage solutions, and setting up compute engines for optimal data processing performance.

Integration Capabilities

• Data Store Integration: Multiple storage approaches for different use cases
• Compute Engine Setup: Scalable processing for data workloads
• Security & Governance: Enterprise-grade access controls
• Monitoring & Health Checks: Automated system monitoring

Data Store Configuration

Configure and manage storage systems with multiple approaches to suit different organizational needs.

Storage Approaches

Choose between traditional mounting and modern governance approaches based on your requirements.

| Approach | Best For | Setup Complexity | Governance Level | |----------|----------|------------------|------------------| | DOCCFS Mount | Development, Testing | Simple | Basic | | DOCC Catalog Volume | Production, Enterprise | Moderate | Enterprise-grade |

DOCCFS Mount

Traditional approach for direct storage mounting. Ideal for development environments and simple use cases.

**Key Features:** - Simple configuration - Quick setup - Direct access - Development-friendly **Configuration Example:** ```json { "name": "analytics-data", "basePath": "/doccfs/analytics", "provider": "S3", "config": { "bucketName": "company-analytics", "region": "us-east-1", "prefix": "datasets/" }, "authConfig": { "accessKeyId": "AKIA...", "secretAccessKey": "..." } } ```

DOCC Catalog Volume

Modern governance approach with enterprise-grade controls. Perfect for production environments.

**Key Features:** - Enterprise governance - Centralized credentials - Audit & compliance - Production-ready **Setup Process:** 1. **Prepare Infrastructure:** Set up cloud storage and IAM roles 2. **Create Storage Credentials:** Configure centralized authentication 3. **Define External Locations:** Set up governed storage pointers 4. **Configure Policies:** Implement access controls and governance **Example: Create Storage Credential** ```bash curl -X POST /api/v1/catalog/storage-credentials \ -H "Content-Type: application/json" \ -d '{ "name": "s3-credentials", "credentialType": "ASSUME_ROLE", "providerType": "AWS_S3", "credentialConfig": { "roleArn": "arn:aws:iam::123456789012:role/DataPlatformRole", "externalId": "unique-external-id", "region": "us-east-1" } }' ```

Decision Guide

Compute Engines

Set up and optimize compute engines for data processing workloads, ensuring optimal performance and resource utilization.

Engine Types

Different engine types optimized for specific workload patterns.

| Engine Type | Use Case | Scalability | Configuration | |-------------|----------|-------------|---------------| | Spark Engines | Large-scale data processing | Auto-scaling | Engine Setup | | SQL Engines | Query processing and analytics | Vertical scaling | Engine Setup | | ML Engines | Machine learning workloads | GPU support | AI Guide |

Engine Configuration

**Basic Setup Steps:** 1. **Choose Engine Type:** Select based on workload requirements 2. **Configure Resources:** Set CPU, memory, and storage limits 3. **Set Scaling Policies:** Define auto-scaling parameters 4. **Configure Networking:** Set up security groups and access 5. **Test Performance:** Validate configuration with sample workloads **Example: Spark Engine Configuration** ```yaml engine: type: "spark" version: "3.4.0" resources: driver: cpu: "2" memory: "4Gi" executor: cpu: "1" memory: "2Gi" instances: 3 scaling: minExecutors: 1 maxExecutors: 10 targetCPUUtilization: 70 ```

Security & Best Practices

Implement security measures and follow best practices for reliable integrations.

Security Guidelines

| Category | Recommendation | Implementation | |----------|----------------|----------------| | Authentication | Use IAM roles over access keys | Configure assume role patterns | | Network Security | Enable VPC endpoints | Set up private networking | | Data Encryption | Encrypt data at rest and in transit | Enable TLS 1.2+ and storage encryption | | Access Control | Implement least privilege | Use workspace-level permissions |

Security Checklist

Performance Optimization

**Key Optimization Areas:** - **Storage Location:** Choose regions close to compute resources - **File Formats:** Use optimized formats like Parquet for analytics - **Compression:** Enable appropriate compression algorithms - **Caching:** Implement intelligent caching strategies - **Resource Sizing:** Right-size compute and storage resources

Monitoring & Alerting

**Essential Monitoring:** - Connection health and availability - Performance metrics and latency - Error rates and failure patterns - Resource utilization and costs - Security events and access patterns

Getting Started

Support & Resources